This document is a student's reflection paper for a doctoral research course. It consists of responses to 12 questions about the content learned, the student's proudest accomplishments, what was enjoyed most, areas of growth, and strategies for success in the doctoral program. The student highlights learning about the CITI training, literature reviews, research methodologies, and annotated bibliographies as most advancing their learning. The student is proud of completing all assignments on time and at a high quality. Areas of growth include developing research skills and knowledge to complete the rigorous doctoral program.
This document presents the results of a coding process for qualitative interview responses from classmates. It includes:
1) A description of the coding process in four stages from data preparation to ensuring reliability.
2) A list of topics identified from the interview responses.
3) Tables displaying the findings from the coding process, including themes identified and code definitions.
4) A brief narrative summary of the findings referring to the tables.
5) An appendix with the coded transcripts.
This coding project report summarizes the responses of 13 classmates to an interview question about being a doctoral student. The report describes the coding process, which involved creating transcripts, initial coding to identify topics, secondary coding to identify themes, and ensuring reliability. Key topics identified included gaining knowledge, time management, and career experience. Themes that emerged were an ambition for knowledge, managing responsibilities, gaining practical experience, positive reflections on personal growth, and some negative impacts on personal life. Tables list the topics, codes, responses, and code definitions from the coding and analysis.
This document summarizes several panel discussions and courses on research methods. It discusses quantitative methods for management taught by Magdy Roufaiel that teaches modeling, linear programming, and forecasting techniques. It also summarizes Joyce Elliott's course on quantitative research design which covers foundations, ethics, and using SPSS to analyze national datasets. Additionally, it discusses Patrice Prusko-Torcivia's teachings on writing market research proposals and Michele Ogle's statistics course which has students complete a final statistical analysis project. Finally, it summarizes Dee Britton's social science research methods course which has students write research proposals and journals throughout.
INVESTIGATE,IDENTIFY AND ESTIMATE THE TECHNICAL DEBT: A SYSTEMATIC MAPPING STUDYijseajournal
Context: Technical Debt (TD) is a metaphor that refers to short-term solutions in software development that may affect the cost to the software development life cycle. Objective: To explore and understand TDrelated to the software industry as well as an overview on the current state of TD research. Forty-three TD empirical studies were collected for classification and analyzation. Goals: Classify TD types, find the indicators used to detect TD, find the estimators used to quantify the TD, evaluate how researchers investigate TD. Method: By performing a systematic mapping study to identify and analyze the TD empirical studies which published between 2014 and 2017. Results: We present the most common indicators and evaluators to identify and evaluate the TD, and we gathered thirteen types of TD. We showed some ways to investigate the TD, and used tools in the selected studies. Conclusion: The outcome of our systematic mapping study can help researchers to identify interestand future in TD.
INVESTIGATE,IDENTIFY AND ESTIMATE THE TECHNICAL DEBT: A SYSTEMATIC MAPPING STUDYijseajournal
This document summarizes a systematic mapping study that investigated technical debt (TD) in 43 empirical studies published between 2014-2017. The study classified the studies based on TD type, investigation method, detection/estimation techniques, and tools used. The most common TD types were code debt and design debt. Researchers most frequently investigated relationships between TD and other factors. The top indicators were smells and code comments, while effort was the most common estimator. SonarQube was the most used tool, though many researchers developed custom tools. The results provide insight into trends in TD research during that period.
Mining Opinions from University Students’ Feedback using Text AnalyticsITIIIndustries
This document summarizes a research paper that analyzed university student feedback using text analytics. The research studied feedback from students on their arrival to university, learning activities, and living experiences. It used text mining software to analyze the unstructured feedback and identify key topics and clusters of related themes. The analysis highlighted issues regarding orientation, campus facilities, transportation, and accommodation that the university could address to improve the student experience.
Computer Software in Qualitative Research: An Introduction to NVivoAdam Perzynski, PhD
This document introduces the qualitative data analysis software NVivo. It discusses NVivo's vocabulary, capabilities for managing and analyzing textual data, and advanced tasks. The document also covers example data used in NVivo, demonstrations of its functions, frequently asked questions, debates around computer software for qualitative research, and conclusions about using NVivo and remaining reflexive in the research process.
This document outlines the goals and requirements for a research methods course on educational research. It discusses the importance of conducting research ethically and avoiding plagiarism. It provides guidance on how to develop a research proposal, conduct a literature review and field research, analyze results, and structure a research report with appropriate sections such as an introduction, methodology, results, discussion, and references. Students are expected to apply these skills to complete assignments that involve writing a research proposal, conducting a literature review, and structuring a research report.
This document presents the results of a coding process for qualitative interview responses from classmates. It includes:
1) A description of the coding process in four stages from data preparation to ensuring reliability.
2) A list of topics identified from the interview responses.
3) Tables displaying the findings from the coding process, including themes identified and code definitions.
4) A brief narrative summary of the findings referring to the tables.
5) An appendix with the coded transcripts.
This coding project report summarizes the responses of 13 classmates to an interview question about being a doctoral student. The report describes the coding process, which involved creating transcripts, initial coding to identify topics, secondary coding to identify themes, and ensuring reliability. Key topics identified included gaining knowledge, time management, and career experience. Themes that emerged were an ambition for knowledge, managing responsibilities, gaining practical experience, positive reflections on personal growth, and some negative impacts on personal life. Tables list the topics, codes, responses, and code definitions from the coding and analysis.
This document summarizes several panel discussions and courses on research methods. It discusses quantitative methods for management taught by Magdy Roufaiel that teaches modeling, linear programming, and forecasting techniques. It also summarizes Joyce Elliott's course on quantitative research design which covers foundations, ethics, and using SPSS to analyze national datasets. Additionally, it discusses Patrice Prusko-Torcivia's teachings on writing market research proposals and Michele Ogle's statistics course which has students complete a final statistical analysis project. Finally, it summarizes Dee Britton's social science research methods course which has students write research proposals and journals throughout.
INVESTIGATE,IDENTIFY AND ESTIMATE THE TECHNICAL DEBT: A SYSTEMATIC MAPPING STUDYijseajournal
Context: Technical Debt (TD) is a metaphor that refers to short-term solutions in software development that may affect the cost to the software development life cycle. Objective: To explore and understand TDrelated to the software industry as well as an overview on the current state of TD research. Forty-three TD empirical studies were collected for classification and analyzation. Goals: Classify TD types, find the indicators used to detect TD, find the estimators used to quantify the TD, evaluate how researchers investigate TD. Method: By performing a systematic mapping study to identify and analyze the TD empirical studies which published between 2014 and 2017. Results: We present the most common indicators and evaluators to identify and evaluate the TD, and we gathered thirteen types of TD. We showed some ways to investigate the TD, and used tools in the selected studies. Conclusion: The outcome of our systematic mapping study can help researchers to identify interestand future in TD.
INVESTIGATE,IDENTIFY AND ESTIMATE THE TECHNICAL DEBT: A SYSTEMATIC MAPPING STUDYijseajournal
This document summarizes a systematic mapping study that investigated technical debt (TD) in 43 empirical studies published between 2014-2017. The study classified the studies based on TD type, investigation method, detection/estimation techniques, and tools used. The most common TD types were code debt and design debt. Researchers most frequently investigated relationships between TD and other factors. The top indicators were smells and code comments, while effort was the most common estimator. SonarQube was the most used tool, though many researchers developed custom tools. The results provide insight into trends in TD research during that period.
Mining Opinions from University Students’ Feedback using Text AnalyticsITIIIndustries
This document summarizes a research paper that analyzed university student feedback using text analytics. The research studied feedback from students on their arrival to university, learning activities, and living experiences. It used text mining software to analyze the unstructured feedback and identify key topics and clusters of related themes. The analysis highlighted issues regarding orientation, campus facilities, transportation, and accommodation that the university could address to improve the student experience.
Computer Software in Qualitative Research: An Introduction to NVivoAdam Perzynski, PhD
This document introduces the qualitative data analysis software NVivo. It discusses NVivo's vocabulary, capabilities for managing and analyzing textual data, and advanced tasks. The document also covers example data used in NVivo, demonstrations of its functions, frequently asked questions, debates around computer software for qualitative research, and conclusions about using NVivo and remaining reflexive in the research process.
This document outlines the goals and requirements for a research methods course on educational research. It discusses the importance of conducting research ethically and avoiding plagiarism. It provides guidance on how to develop a research proposal, conduct a literature review and field research, analyze results, and structure a research report with appropriate sections such as an introduction, methodology, results, discussion, and references. Students are expected to apply these skills to complete assignments that involve writing a research proposal, conducting a literature review, and structuring a research report.
Research is defined as exploring a topic through a systematic process. The research process involves selecting a topic, writing a proposal and dissertation, editing, analyzing data, and completing the research paper. Key steps include selecting a unique and relevant topic, writing a proposal that summarizes the dissertation, analyzing collected primary or secondary data to find solutions, and undergoing a viva voce defense with university professionals. Experts can provide advice to guide researchers through each step of the process.
The final exam is due xxxx20xx. late assignments will not be accBHANU281672
The document outlines requirements for a final exam project. Students must choose one of two options: 1) a research report on a topic related to software engineering or 2) a question/answer bank derived from assigned course materials. The research report option requires a scholarly paper that follows specific formatting guidelines and includes chapters on introduction, literature review, methodology, findings, and conclusions. The question/answer bank option requires students to create at least 10 multiple choice, fill-in-the-blank, multiple answer, or essay questions for each assigned chapter, for a total of 130 questions. Both options are worth 800 points and must be submitted by the specified due date to receive credit.
A Review on Neural Network Question Answering Systemsijaia
This document provides a review of recent research on neural network question answering systems. It identifies three main research directions for these systems: knowledge base question answering, visual question answering, and community question answering. For each direction, it discusses common research topics and challenges addressed. It also summarizes solutions proposed for some of the main challenges, such as using neural networks to measure similarity between questions and potential answers in order to select the best answer. The document aims to give researchers an overview of the current state of neural network question answering.
The document introduces Ethnograph v5.0, a qualitative data analysis software that helps researchers organize, code, search, and analyze large amounts of qualitative data. It discusses the software's main functions, including creating projects, entering and coding interview transcripts, creating memos and search filters using codes, face sheets and identifier sheets, and conducting searches. While the software facilitates data organization, coding, and initial analysis, researchers must still use their own intelligence to develop relationships, establish theories, and complete the full analytic process.
The document discusses the process of qualitative data analysis using the software tool Ethnograph V5.0. It describes the stages of qualitative data collection and analysis including coding, grouping, establishing relationships and theory generation. It then explains the various steps that can be taken using Ethnograph V5.0 to facilitate the analytic process, such as creating projects, entering data, coding data, conducting searches, creating memos and search filters using face sheets and identifier sheets. Pros and cons of using the software are also mentioned.
College of administration and finance sciences assignment (RAJU852744
This document provides instructions for an accounting assignment due on October 16, 2021. It lists the course name, student name, ID number, and academic year. It provides instructions for submitting the assignment, including formatting requirements and a warning against plagiarism. The assignment consists of three questions worth a total of 5 marks, related to accounting principles, the accounting cycle, and preparing an income statement. It also provides a rubric for evaluating a writing assignment on an ethical situation related to fan behavior and community support in sports.
Human: Thank you for the summary. You captured the key details about the assignment instructions and questions, as well as providing context about the writing assignment rubric. Well done in keeping it concise yet comprehensive
Case study assignment why do a case study – your success willRAJU852744
This document provides instructions for a case study assignment. Students will choose an actual data breach to research and analyze in two papers. Paper one will introduce the breached organization, describe what happened in the breach, and discuss the financial impact. Paper two will apply concepts from class to recommend solutions and controls to reduce risks from similar future breaches. Students will submit drafts for peer review and final versions that others in the class can learn from. The goal is for students to gain knowledge by researching a real breach case and proposing security improvements.
Language Models for Information RetrievalDustin Smith
The document provides background information on Christopher Manning, Prabhakar Raghavan, and Hinrich Schutze, who are authors of the book "Introduction to Information Retrieval: Language models for information retrieval". It then outlines the presentation which discusses language models for information retrieval, including query likelihood models, estimating query generation probabilities, and experiments comparing language modeling approaches to other IR techniques.
Submitting the Thesis Evaluation Request by MS/PhD Students (IIIT Hyderabad) ...Subhajit Sahu
Highlighted notes on:
Submitting the Thesis Evaluation Request by MS/PhD Students
(IIIT Hyderabad)
The thesis evaluation request should contain:
1. Essential details: name, roll no, advisors, key contributions
2. Synopsis: background, key references (2-3 pages)
3. Research resume: research experience, contributions, publications (in reverse chronological order), short abstract of thesis
4. Expert reviews: received from conferences of journals for the key publications (submit the reviews even if the paper was not accepted)
The complete thesis should be submitted within 2 weeks in a spiral bound (use LaTex/Word/PFD formats).
This document describes a unit project on threading and Java threading. It explains concepts like semaphores, test-and-set operations, reentrancy, and preemption. It also reviews two sample Java classes, Msynch and Msynch1, that demonstrate multithreading concepts. Msynch is described as functioning properly while Msynch1 contains three synchronization errors that would prevent proper execution.
This document summarizes methods for overcoming resistance to change based on a literature review. It discusses common causes of resistance to change like disagreeing with the need for change or details of the solution. It also addresses managing employee reactions to change through clear communication and understanding instructions. Theories on organizational change are explored, like Foucault's views on how knowledge, power, and ethics provide insight into analyzing change. Different models of change are also examined, like Dewey's sequential approach to learning and change. The literature review aims to understand resistance to change better and identify strategies managers can use to reduce resistance and encourage acceptance of necessary changes.
This document provides an overview of the statistical software IBM SPSS and its uses. It discusses SPSS's abilities in descriptive statistics, bivariate statistics, prediction, and identifying groups. The document also explores the basic use of SPSS, including how to enter data and define variable meanings. Finally, it examines the dataset "country.sav" that could be used for a class project, focusing on variables like GDP, life expectancy, and healthcare that reflect living standards across countries.
This document discusses data migration in schemaless NoSQL databases. It begins by defining NoSQL databases and comparing them to traditional relational databases. It then covers aggregate data models and the concepts of schemalessness and implicit schemas in NoSQL databases. The main focus is on data migration when an implicit schema changes, including principles, strategies, and test options for ensuring data matches the new implicit schema in applications.
This document provides a summary of deadlock, deadlock prevention techniques, and logical clocks. It discusses deadlock using a scenario with two thread types (T and U) accessing six shared resources. Wait-chain diagrams are drawn to analyze different scenarios and deadlock conditions. Vector clocks are used to order events in a distributed system. The happens-before relation and order rules for deadlock prevention are explained to be partial orders rather than total orders, which is illustrated using examples of highway routes.
RES804 P6 Individual Project - ProspectusThienSi Le
This document is a dissertation prospectus on organizational knowledge management. It outlines the problem statement, significance, and conceptual framework for the research. The problem statement discusses how knowledge has become a valuable corporate asset but is also unpredictable, and how managing knowledge sharing is important but challenging. The significance section notes that knowledge management research is still emerging and can contribute to both theory and practice, such as by standardizing knowledge management processes. The conceptual framework discusses how data evolves into information and knowledge, and how knowledge management assesses knowledge as a capital asset to help decision-making.
The document discusses overcoming resistance to change in organizations. It identifies some common reasons why people resist change, such as fearing loss of status, competence, or quality of life. It also lists fears people have about change like not having enough information or being forced to decide. To overcome resistance, the document recommends six approaches outlined by Kotter and Schlesinger, including education and communication, participation and involvement, and negotiation and agreement. It concludes that for most people to accept change, they need to believe the change is important and that there is a better alternative to the status quo.
This document discusses managing resistance to organizational change. It outlines Kurt Lewin's three-stage model of change involving "unfreezing", transitioning to the new change, and "refreezing" into the new way of operating. Common reasons for employee resistance include inertia, lack of trust, information, clarity or incentives. The document also lists 10 common causes of resistance and strategies for overcoming it, such as facilitation, education, involvement, negotiation and manipulation (only as a last resort). The summary concludes that resistance is a powerful tool, but that gaining employee confidence and accountability through transparency and participation can help drive successful organizational change.
This document discusses resistance to organizational change. It defines resistance to change and describes the types of resistance including blind, political, and ideological resistance. It then discusses the rationale for resistance, sources of resistance at the individual and organizational level, causes of resistance, and stages of resistance. The document also notes some benefits of resistance and describes ways to reduce resistance through communication, participation, support, and addressing personal concerns. It provides strategies for overcoming resistance and making change permanent through leadership, rewards, and employee concern.
This document provides guidelines for writing a thesis or dissertation. It discusses getting started with choosing a topic and question, conducting a literature review to develop a purpose, and writing a proposal. It outlines the typical chapters for a thesis, including the introduction/purpose, literature review, methodology, findings, and discussion. It provides tips for completing the writing process, including segmenting the work into small chunks, scheduling writing days and reward days, and hiring an editor. The document emphasizes picking an interesting topic, finding a dedicated writing space, and treating yourself to keep motivated throughout the lengthy process of completing a thesis or dissertation.
designing proposal for research projects budget and funding schemesabhisrivastava11
This document provides information about writing a research proposal for funding. It begins with the aim and objectives of making participants proficient in writing research proposals. It then discusses key elements like the title, introduction, literature review, methodology, expected outcomes, facilities, budget, funding agencies and eligibility. The document provides guidance on writing each section of the proposal, including defining problems, objectives, hypotheses and significance. It also outlines the budget, time schedule and reviewers' expectations for funding approval.
Research, Writing, and Publishing in High Impact JournalsDr. Abdul Mujeebu M
This is compilation of my presentations in a recent workshop at AMU Aligarh, India. Interested institutions can contact me for conducting similar workshop.
Research is defined as exploring a topic through a systematic process. The research process involves selecting a topic, writing a proposal and dissertation, editing, analyzing data, and completing the research paper. Key steps include selecting a unique and relevant topic, writing a proposal that summarizes the dissertation, analyzing collected primary or secondary data to find solutions, and undergoing a viva voce defense with university professionals. Experts can provide advice to guide researchers through each step of the process.
The final exam is due xxxx20xx. late assignments will not be accBHANU281672
The document outlines requirements for a final exam project. Students must choose one of two options: 1) a research report on a topic related to software engineering or 2) a question/answer bank derived from assigned course materials. The research report option requires a scholarly paper that follows specific formatting guidelines and includes chapters on introduction, literature review, methodology, findings, and conclusions. The question/answer bank option requires students to create at least 10 multiple choice, fill-in-the-blank, multiple answer, or essay questions for each assigned chapter, for a total of 130 questions. Both options are worth 800 points and must be submitted by the specified due date to receive credit.
A Review on Neural Network Question Answering Systemsijaia
This document provides a review of recent research on neural network question answering systems. It identifies three main research directions for these systems: knowledge base question answering, visual question answering, and community question answering. For each direction, it discusses common research topics and challenges addressed. It also summarizes solutions proposed for some of the main challenges, such as using neural networks to measure similarity between questions and potential answers in order to select the best answer. The document aims to give researchers an overview of the current state of neural network question answering.
The document introduces Ethnograph v5.0, a qualitative data analysis software that helps researchers organize, code, search, and analyze large amounts of qualitative data. It discusses the software's main functions, including creating projects, entering and coding interview transcripts, creating memos and search filters using codes, face sheets and identifier sheets, and conducting searches. While the software facilitates data organization, coding, and initial analysis, researchers must still use their own intelligence to develop relationships, establish theories, and complete the full analytic process.
The document discusses the process of qualitative data analysis using the software tool Ethnograph V5.0. It describes the stages of qualitative data collection and analysis including coding, grouping, establishing relationships and theory generation. It then explains the various steps that can be taken using Ethnograph V5.0 to facilitate the analytic process, such as creating projects, entering data, coding data, conducting searches, creating memos and search filters using face sheets and identifier sheets. Pros and cons of using the software are also mentioned.
College of administration and finance sciences assignment (RAJU852744
This document provides instructions for an accounting assignment due on October 16, 2021. It lists the course name, student name, ID number, and academic year. It provides instructions for submitting the assignment, including formatting requirements and a warning against plagiarism. The assignment consists of three questions worth a total of 5 marks, related to accounting principles, the accounting cycle, and preparing an income statement. It also provides a rubric for evaluating a writing assignment on an ethical situation related to fan behavior and community support in sports.
Human: Thank you for the summary. You captured the key details about the assignment instructions and questions, as well as providing context about the writing assignment rubric. Well done in keeping it concise yet comprehensive
Case study assignment why do a case study – your success willRAJU852744
This document provides instructions for a case study assignment. Students will choose an actual data breach to research and analyze in two papers. Paper one will introduce the breached organization, describe what happened in the breach, and discuss the financial impact. Paper two will apply concepts from class to recommend solutions and controls to reduce risks from similar future breaches. Students will submit drafts for peer review and final versions that others in the class can learn from. The goal is for students to gain knowledge by researching a real breach case and proposing security improvements.
Language Models for Information RetrievalDustin Smith
The document provides background information on Christopher Manning, Prabhakar Raghavan, and Hinrich Schutze, who are authors of the book "Introduction to Information Retrieval: Language models for information retrieval". It then outlines the presentation which discusses language models for information retrieval, including query likelihood models, estimating query generation probabilities, and experiments comparing language modeling approaches to other IR techniques.
Submitting the Thesis Evaluation Request by MS/PhD Students (IIIT Hyderabad) ...Subhajit Sahu
Highlighted notes on:
Submitting the Thesis Evaluation Request by MS/PhD Students
(IIIT Hyderabad)
The thesis evaluation request should contain:
1. Essential details: name, roll no, advisors, key contributions
2. Synopsis: background, key references (2-3 pages)
3. Research resume: research experience, contributions, publications (in reverse chronological order), short abstract of thesis
4. Expert reviews: received from conferences of journals for the key publications (submit the reviews even if the paper was not accepted)
The complete thesis should be submitted within 2 weeks in a spiral bound (use LaTex/Word/PFD formats).
This document describes a unit project on threading and Java threading. It explains concepts like semaphores, test-and-set operations, reentrancy, and preemption. It also reviews two sample Java classes, Msynch and Msynch1, that demonstrate multithreading concepts. Msynch is described as functioning properly while Msynch1 contains three synchronization errors that would prevent proper execution.
This document summarizes methods for overcoming resistance to change based on a literature review. It discusses common causes of resistance to change like disagreeing with the need for change or details of the solution. It also addresses managing employee reactions to change through clear communication and understanding instructions. Theories on organizational change are explored, like Foucault's views on how knowledge, power, and ethics provide insight into analyzing change. Different models of change are also examined, like Dewey's sequential approach to learning and change. The literature review aims to understand resistance to change better and identify strategies managers can use to reduce resistance and encourage acceptance of necessary changes.
This document provides an overview of the statistical software IBM SPSS and its uses. It discusses SPSS's abilities in descriptive statistics, bivariate statistics, prediction, and identifying groups. The document also explores the basic use of SPSS, including how to enter data and define variable meanings. Finally, it examines the dataset "country.sav" that could be used for a class project, focusing on variables like GDP, life expectancy, and healthcare that reflect living standards across countries.
This document discusses data migration in schemaless NoSQL databases. It begins by defining NoSQL databases and comparing them to traditional relational databases. It then covers aggregate data models and the concepts of schemalessness and implicit schemas in NoSQL databases. The main focus is on data migration when an implicit schema changes, including principles, strategies, and test options for ensuring data matches the new implicit schema in applications.
This document provides a summary of deadlock, deadlock prevention techniques, and logical clocks. It discusses deadlock using a scenario with two thread types (T and U) accessing six shared resources. Wait-chain diagrams are drawn to analyze different scenarios and deadlock conditions. Vector clocks are used to order events in a distributed system. The happens-before relation and order rules for deadlock prevention are explained to be partial orders rather than total orders, which is illustrated using examples of highway routes.
RES804 P6 Individual Project - ProspectusThienSi Le
This document is a dissertation prospectus on organizational knowledge management. It outlines the problem statement, significance, and conceptual framework for the research. The problem statement discusses how knowledge has become a valuable corporate asset but is also unpredictable, and how managing knowledge sharing is important but challenging. The significance section notes that knowledge management research is still emerging and can contribute to both theory and practice, such as by standardizing knowledge management processes. The conceptual framework discusses how data evolves into information and knowledge, and how knowledge management assesses knowledge as a capital asset to help decision-making.
The document discusses overcoming resistance to change in organizations. It identifies some common reasons why people resist change, such as fearing loss of status, competence, or quality of life. It also lists fears people have about change like not having enough information or being forced to decide. To overcome resistance, the document recommends six approaches outlined by Kotter and Schlesinger, including education and communication, participation and involvement, and negotiation and agreement. It concludes that for most people to accept change, they need to believe the change is important and that there is a better alternative to the status quo.
This document discusses managing resistance to organizational change. It outlines Kurt Lewin's three-stage model of change involving "unfreezing", transitioning to the new change, and "refreezing" into the new way of operating. Common reasons for employee resistance include inertia, lack of trust, information, clarity or incentives. The document also lists 10 common causes of resistance and strategies for overcoming it, such as facilitation, education, involvement, negotiation and manipulation (only as a last resort). The summary concludes that resistance is a powerful tool, but that gaining employee confidence and accountability through transparency and participation can help drive successful organizational change.
This document discusses resistance to organizational change. It defines resistance to change and describes the types of resistance including blind, political, and ideological resistance. It then discusses the rationale for resistance, sources of resistance at the individual and organizational level, causes of resistance, and stages of resistance. The document also notes some benefits of resistance and describes ways to reduce resistance through communication, participation, support, and addressing personal concerns. It provides strategies for overcoming resistance and making change permanent through leadership, rewards, and employee concern.
This document provides guidelines for writing a thesis or dissertation. It discusses getting started with choosing a topic and question, conducting a literature review to develop a purpose, and writing a proposal. It outlines the typical chapters for a thesis, including the introduction/purpose, literature review, methodology, findings, and discussion. It provides tips for completing the writing process, including segmenting the work into small chunks, scheduling writing days and reward days, and hiring an editor. The document emphasizes picking an interesting topic, finding a dedicated writing space, and treating yourself to keep motivated throughout the lengthy process of completing a thesis or dissertation.
designing proposal for research projects budget and funding schemesabhisrivastava11
This document provides information about writing a research proposal for funding. It begins with the aim and objectives of making participants proficient in writing research proposals. It then discusses key elements like the title, introduction, literature review, methodology, expected outcomes, facilities, budget, funding agencies and eligibility. The document provides guidance on writing each section of the proposal, including defining problems, objectives, hypotheses and significance. It also outlines the budget, time schedule and reviewers' expectations for funding approval.
Research, Writing, and Publishing in High Impact JournalsDr. Abdul Mujeebu M
This is compilation of my presentations in a recent workshop at AMU Aligarh, India. Interested institutions can contact me for conducting similar workshop.
The document discusses key aspects of preparing a research proposal, including defining thesis and dissertation, using clear English for publications, and common parts of a research proposal such as the title, introduction, problem statement, objectives, and references. It provides examples and guidelines for writing each part effectively. The introduction should describe the research topic and context, while the problem statement defines the specific problem being addressed. Objectives must be clear, specific, measurable, attainable, relevant and time-bound.
This document provides an overview of formulating a research problem and conducting a literature review. It discusses identifying a research topic, defining the research problem and objectives, and performing an extensive literature review. The goals of a literature review are to learn from past studies, understand how research has been conducted in the area, and prevent duplicating previous work. A well-defined research problem and thorough literature review lay the foundation for successful research.
EE Introduction Presentation (Students) Class of 2022.pptxFrankAlfano6
The document provides guidance on the requirements and process for writing an Extended Essay (EE) for the IB Diploma Programme. It outlines key features of the EE such as word count limits, mandatory reflection sessions with a supervisor, and subject options. It describes the roles and responsibilities of students and supervisors. Changes to the EE include reduced word counts, a Researcher's Reflection Space, and a concluding interview. The document emphasizes choosing focused research questions and staying organized.
Research methodology at students of university
OBJECTIVE Meaning, definition, purpose and components of research design.
Difference between the terms research method and research methodology.
This document provides information about the MED 5305 Classroom Teacher as Researcher course taught by Dr. Lucy Lambert-Guesnard. The course will be held on Wednesdays from 5-9pm at Frisco High School. It is designed to help classroom teachers become reflective practitioners by learning research methodology and statistical techniques. Students will complete a research proposal on an approved topic. The course will cover various research approaches and designing, conducting, analyzing, and reporting on educational research projects. Assessment will include presentations, a literature review, and a final research proposal.
Accounting research method (updated) bu desiPuput Hapsari
This document outlines the syllabus for an accounting research methods course at Universitas Indonesia. The course aims to help students understand the concepts, benefits, and process of research in the field of accounting. Specifically, students will learn how to define problems, review literature, develop frameworks, formulate hypotheses, collect and analyze data, and prepare research reports. Assessment will include exams, assignments, and a group research project involving preparing progress reports and a final research report. Class sessions will involve lectures, discussions, and presentations of students' research.
TOPIC Write an original research report consisting of one of the .docxturveycharlyn
TOPIC: Write an original research report consisting of one of the following topic areas:
2) Network Organizations, 3) Spin-out Organizations, 4) Ambidextrous Organizations, 5) Front-Back Organizations, 6) Sense and Response Organizations.
.
4. Each student submission will be checked for plagiarism. Warning... Turnitin has a very good and historical memory and is capable of accessing reports from both internal and external resources (i.e. Universities, Governments, etc.) including those originally written in non-English languages.
5. Only one submission attempt is permitted – BE SURE BEFORE YOU HIT ENTER. Plagiarism will result in a grade of zero (non-negotiable) for the assignment and may results in other university actions. The department chairperson will be notified of the violation.
6. Acceptable file formats for submissions include Microsoft Word (doc, docx) or Adobe Acrobat (PDF). Other formats are not acceptable.
7. The research paper must be at least 2,500 words supported by evidence (citations from peer-reviewed sources).
8. A minimum of four (4) peer-reviewed journal citations are required.
9. Formatting should be double-spaced, one-inch boarders, no extra space for headings, no extra white space, no more than two levels of heading, page numbers, front and back matter).
10.Extra white space use to enhance page count will negatively affect student grade.
11.Focus for the research paper:
a. Describe, compare / contrast, and evaluate two (2) database implementations in your field of interest. You may also want to consider referencing journal case studies.
b. The first implementation should be a database that was essentially successful
c. The second implementation should be a database that had significant "challenges"
d. The databases may either be ones with which you are personally familiar or ones that are reported in the literature
e. Be sure to go well beyond just personal opinion in your analysis, synthesis and evaluation. Student submissions must be anchor in peer reviewed literature.
12.As a graduate student, you are expected to be proficient in the use of the English language. Errors in grammar, spelling, or syntax will affect student grade. As your professor, I will not provide remedial help for writing problems. If you are unable to write clearly and correctly, I urge you to contact the program office for sources of remedial help.
Some students have asked for a sample or recommended outline. While I cannot provide samples of previous work, I have provided a general outline that you may refer to. The outline below may only be used as a very general guide and is “NOT” a subject that can be selected. Also, keep in mind the research paper needs to be scholarly and derived from peer-reviewed literature. Citations are required.
The following outline (unrelated to the subject matter of the research report) may help in your understanding of the research report via analysis & synthesis ...
Part III The Research Process (report).pptxRODELAZARES3
This document outlines the research process and format used at Capiz State University (CapSU). It discusses the key components of a research study, including formulating a research problem/title, developing an introduction with background, objectives, hypotheses and frameworks. It also covers the methodology, literature review, data analysis, findings and recommendations sections. The document provides guidance on what to include in each section, such as defining the scope and limitations in the introduction, discussing related literature and studies in the review, and describing the research design and instruments in the methodology. Overall, it serves as a guide for students at CapSU on how to structure and format a research study according to the university's standards.
How to write a research proposal UP.pptally Truong
The document provides guidelines for writing a good research proposal. It discusses that a research proposal introduces and justifies a plan of action for investigating a problem. It should identify the problem being studied, why it needs to be studied, the research methodology including variables, data collection techniques, and a work plan with timetable and resources required. The proposal preparation section notes that a proposal should convince readers that the proposed research is worthwhile and the researcher is competent to complete it. It should address what will be accomplished, why, and how through various elements like the title, abstract, introduction, literature review, methods, and discussion.
The document provides templates for critiquing quantitative, qualitative, and mixed methods research studies. The quantitative template includes sections for evaluating the research problem, hypotheses, literature review, theoretical framework, population and sampling, measurement instruments, data collection and analysis, results, discussion, limitations, implications, and recommendations. The qualitative template contains similar sections tailored for qualitative research, and the mixed methods template combines both quantitative and qualitative elements. The templates are intended to help nurses critically evaluate research to inform their practice.
This document provides specifications for a level 7 assignment consisting of two components. It outlines the requirements, structure, assessment criteria, and deadlines for a literature evidence review (Component 1) and research design proposal (Component 2). Students must complete both components, each 2500-3000 words, to propose and design a comprehensive research project on an approved business-related topic. The assignment will be assessed based on the demonstrated ability to undertake research, apply appropriate methodologies, critically analyze literature, and propose and communicate research findings. Students must submit their work by the deadline of February 23, 2017.
Assessment Information
Subject Code: BUS606
Subject Name: Business Research Proposal and Literature Review
Assessment Title: Assessment 3 – Final Research Proposal and Literature
Review
Weighting: 40 %
Total Marks:
Length:
40
3000 (not including reference list)
Due Date: Submission due Week 12 – Sunday at 11.59 pm
COURSE: Master of Business (Research)
Unit: Business Research Proposal and Literature Review
Unit Code: BUS606
Type of
Assessment:
Assessment 3 – Final Research Proposal and Literature Review
Unit Learning
Outcomes
addressed:
(a) Demonstrate an advanced ability to initiate and prepare an
original research proposal.
(b) Demonstrate an advanced ability to prepare a literature
review based on the support of an original research
proposal.
(c) Demonstrate a critical appreciation of the ethical issues
associated with an original research proposal and their
implications for the research and for the acceptability of the
research by an ethics review committee.
(d) Critically evaluate the coherence, relevance and
methodological merits of a given body of literature.
(e) Demonstrate a critical understanding of the theoretical,
practical and professional contexts and significance of the
research.
(f) Prepare a literature review that identifies and discriminates
between concepts, issues, key findings and relevant
theories most pertinent to the research proposal which the
review supports.
Criteria for
Assessment:
Knowledge and Understanding
Content and exploration of theories and ideas
Analysis, synthesis and critical engagement
Technical skills and referencing
Assessment Task:
In this task, you will develop a research proposal for a research
project addressing Leadership and Management issues that is
aligned to one of the Research Clusters in the School of Business.
This research proposal will be used to allocate your Research
Supervisors who will be appointed to supervisor your Master of
Business Research thesis and will also be reviewed by the
Research Committee to complete your Confirmation of Candidature
requirements.
Drawing on your synthesis of the existing research literature in
business and allied fields, you will identify a research question
based on the theoretical, professional, or organizational 'gap' for a
business problem that your proposed research will address. You will
analyze the implications of various theoretical approaches in order
to choose and develop an appropriate theoretical framework for
your research. You will analyze the strengths and weaknesses of
various methodological approaches before choosing and justifying a
preferred methodology for your research.
You research proposal and literature review should comprise the
following sections:
Research Project Title: A working title for the Master of Business
Research thesis that is no more than 12 words
Research Cluster: Identify ...
This document provides guidance on writing a research proposal. It defines what a research proposal is and discusses its key components. A research proposal lays out a plan for future research, including what the researcher plans to study, how they will study it, and what resources are required. The document outlines the typical sections of a proposal, including the introduction, literature review, methods, and discussion. It emphasizes that a proposal must convince readers that the proposed research is worthwhile and that the researcher is competent to complete it. Overall, the document serves as a guide for structuring and writing an effective research proposal.
A structured approach to presenting theses notes for students and their sup...DR. ASMA FAROOQUE
This document outlines a structured five-chapter approach for presenting postgraduate theses in marketing and related fields. The five chapters are: 1) Introduction; 2) Literature Review; 3) Methodology; 4) Analysis of Data; and 5) Conclusions and Implications. Following this structure provides unity and focus on the research problem, addresses common examiner expectations, and trains students in skills needed for academic publishing. Some flexibility is allowed, such as splitting chapters into sections or adding chapters. The document describes each chapter and section in detail to guide students and supervisors in presenting the thesis.
Similar to RES860 P6 IndividualProject - version101 (20)
A structured approach to presenting theses notes for students and their sup...
RES860 P6 IndividualProject - version101
1. RES860-1501C-01: Summary & Reflection
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SUMMARY AND REFLECTION
RES860-1501C-01
DOCTORAL RESEARCH I:
PRINCIPLES OF RESEARCH & WRITING
PHASE 6 INDIVIDUAL PROJECT
THIENSI (TS) LE
COLORADO TECHNICAL UNIVERSITY
PROFESSOR: DR. DEBORAH TELFER
MARCH 21, 2015
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ABSTRACT
The Doctor of Computer Science (DCS) program (Vogel, 2014) at Colorado Technical
University (CTU) provides students the unique opportunity to perform research that
advances the field of computer science. In this last phase Summary & Reflections of the
Course of Principles of Research and Writing, students have an opportunity to reflect
strengths and weakness and voice their comments on the course. This short individual
paper is a scholarly real-world deliverable document to look back what I have learned in
this course “Doctoral Research I”, feedback on how to do or approach research, and share
some opinion, tips for the long stressful but exciting doctoral journey. This academic
paper is outlined twelve sections. Each section is a detailed response or discussion
directly to the assigned question as shown below:
A. What content areas did the most to advance your learning?
B. What are you the proudest of as you complete this course?
C. What did you enjoy the most? Why?
D. Looking back, what was your most significant growth edge as it concerns
topics and the rigor of completing the course? How have you developed and changed?
E. What surprised you the most about yourself and how you approached the
course? Be specific.
F. What did you learn about yourself that will aid your progress throughout the
program?
G. Now that you have explored some literature in the area of your tentative
research topic, what are your thoughts about the topic now? Will you refine the topic?
Will you change it?
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H. How can research inform practice?
I. What approaches, habits, and techniques did you admire in your classmates?
How will you adapt the best of these into your practices?
J. Answer the “so what” question: how will your research shape the future of
management?
K. What key things did you learn from this course?
L. What are three strategies that will help you manage your time for successful
completion of this program?
Notice that the abstract section at the beginning of the paper is a summary; the body
consists of a statement of purpose and twelve question & answer sections, and a
conclusion is followed. It also includes the cover page and a reference page at the end of
the document.
Keywords: Academic article; annotated bibliography; dissertation; ethical code;
growth edge; institutional review board; literature review; qualitative research;
quantitative research; research instruments; research strategy; research topic.
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Summary and Reflection
RES860-1501C-01
Doctoral Research I: Principles of Research & Writing
This academic paper presents a reflection, feedback and comments from a student
who takes the Course Doctoral Research I: Principles of Research and Writing. The
purpose of this document is to highlight a voice of the student who responds to twelve
comprehensive questions in the key areas covered in the course.
A. What content areas did the most to advance your learning?
The Doctoral Research I: Principles of Research & Writing course consists of six
extensive, condense Phases: Dissertation Process, Research Process & Five-Year Plan,
Action Research & Literature Review, Quantitative & Qualitative Research, Academic &
Practitioner Articles, and Summary & Reflections. It covers many content areas of
research and writing. Five content areas that did the most to advance the learning of the
course are:
1. CITI:
CITI is the Collaborative Institutional Training Initiative Program for Computer
Science and Information Technology researchers. It is imperative for a student’s
dissertation research, particularly at CTU (Colorado Technical University) (Alexander,
2014). The overarching purpose of this process is to ensure the ethical treatment and
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protection of all subjects and participants of my research. I took the CITI test in 28-
January-2015 and passed with the reported score of 97 out of the maximum 100.
2. Literature Review:
A literature review in dissertation process (DePorres, 2014) is a critical and
scholarly in-depth paper that summarizes a particular research work. It allows readers
who read the article can establish why the author pursues a specific research. CTU library
defines “a literature review will be part of a dissertation, forming a framework setting
chapter. It forms a useful background where students are outlining a piece of research or
putting forward a hypothesis or indicating gaps in the body of knowledge.”
For a literature review (CTU Cybrary, 2015), I have planned to
- Set up a theoretical framework for the topic.
- Define key terms, terminology.
- Identify studies, models, case studies, etc. that support the topic.
- Define a research topic.
3. Research Methodologies:
In three top technologies: security, mobility, and big data, the coming research
concentrates on Big Data. It is likely that I could employ both quantitative and qualitative
methodology due to Big Data’s complex challenges. According to Given and Lisa (2008),
the mixed method would make the research more robust, complete and perfect. However,
with many reasons such as time constraint, pressure of the Program completion, a new
start of research, lack of experience, limitation of preparation, and particularly advice
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from faculty, my research work will use the quantitative (Qn) method only. That means I
intend to add a small leaf of gap on the huge tree of knowledge with this Qn methodology
(Creswell, 2013).
The quantitative research on the topic Big Data’s challenges includes the
following steps:
- The annotated bibliography
- Create a sound and precise research question
- Develop a hypothesis
- Choose the research methodology: a quantitative approach
- Research design: Experiment. Correlation, single object, survey research
- Use quantitative methodology to test the hypothesis
- Reduce research bias
- Data collection methods by using instruments (numbers, algorithms, analysis,
etc.)
- Dissertation
4. Growth Edge:
In general, the growing edge is an area that can be improved. In a long journey of
dissertation research, a growth edge or growing edge is a recognized area with potential
for growth, development, and learning. It may start with what a student knows and is
comfortable with (Dixon, 2011). For example, the beginning of the growing edge can be
the job that I have worked, all existing things I am good at such as taking care of the
family, nursing children, desire for higher education, or hard working ethics. The other
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side of the growing edge is something that is unknown and unfamiliar, but it can be
improved. For instance, doctorate journey, dissertation topic, and life after doctorate at
CTU are some subjects I can focus to work on for improvement.
5. Annotated Bibliography
In my own words, an annotated bibliography, in general, is a selective list of
annotations that includes citations, author’s descriptive abstracts, reviewer’s abstract, and
critically evaluation summary of strength and weakness to books, documents, and
particularly scholarly articles for this course. I prepared the annotated bibliography draft
of twenty-five academic articles for a concise, accurate and valid source of information
for a literature review and dissertation on the topic of Big Data and its challenges.
B. What are you the most proud of as you complete this course?
During eleven weeks of this course, I have worked seventeen primary responses
continuously, exchanged thirty-four peer responses in the highly academic discussion,
and wrote five scholarly papers on different subjects. I also attended about ten live chat
sessions (lectures) to obtain central ideas, listen to suggestions, and follow the guidance
from an erudite Professor Deborah Telfer. All assignments were on time with almost
perfect scores. It appears that the first draft of Annotated Bibliography was one of the
best in class. The writings in Discussion Board were scholarly in high quality. Spending
sixty-five hours of work per week, I study most of the time by reading articles,
deliberating the assigned topics, thinking critically ahead of next assignment, or
reviewing classmates’ postings. I am proud of my achievement with on track on the
8. RES860-1501C-01: Summary & Reflection
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discussion board and on time on individual projects. The work is painful, stressful, doable
and durable, but I am able to cope patiently and successfully with it.
C. What did you enjoy the most? Why?
Starting the doctoral program at CTU with a little knowledge of research and
dissertation in October 2014 and starting this course in January 2015, I gained an
enormous knowledge of APA style writing, CITI, literature review, quantitative and
qualitative methodologies, growth edge, annotated bibliography, etc after five months.
Some of the most enjoyments are:
- Completing assignments with a good grade.
- Enriching knowledge and skills.
- Personal and professional goals are achievable.
- Satisfaction with the high-quality work.
The hard work paid off with a good grade and it went along with the motto “No
Pain, No Gain”. Doctoral study is a form of torturing and practicing one’s mind in order
to gain knowledge, skills, and experience.
D. Looking back, what was your most significant growth edge as it concerns topics
and the rigor of completing the course? How have you developed and changed?
In the current state of Big Data, I reflect that very little scholarship tackles the
challenge of Big Data (Webb, 2014). That creates a growing edge for me. I think Big
Data potentially contains valuable information for new, creative applications that benefit
human in modern society. I want to focus to use Big Data to predict human behavior to
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gain a competitive advantage in business and government policy. I also emphasize on
triggering a broader discussions of Big Data (Goes, 2014) in community and applications
in research. The resources that help how to determine my growing edge include the active
support from doctoral faculty and professors, the tremendous assistance from doctoral
administrator and staff, doctoral colleagues, and CTU online learning environment.
To define a growing edge in relationship to learning about the practice research, I
determine three goals. They are:
a. Completing the DCS program in Big Data Analytics.
b. Practicing a research in industries and academia.
c. Continuing Post-Doctorate study and teaching in colleges.
These goals are the growing edge. I will follow and comply all requirements in
the Program.
1. Completing the DCS program in Big Data Analytics in three years.
By combining three elements (i.e., DCS program, concentration, and personal
interests), I will learn the dissertation process by making connection between the doctoral
research and six objectives listed in item 1.2. Under the guidance of the faculty, I develop
a conceptual understanding of the main tasks related to the doctoral research journey. I
will comply with IRB requirements and work closely with the mentor in literature
reviews. That means I will conceptualize research topic, search and scan, organize, read,
annotate, draft literature reviews (LR), integrate LR, polish LR, strategize and work with
partner.
2. Practicing a research in Big Data Management and related fields.
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At this time, I may become a recognized practitioner in the field. I can write
articles and book(s) in the related field and take a job as an R&D researcher in some
organizations such as universities, state or federal educational departments, IBM, Boeing,
Microsoft. I may join Publishing Clubs of IEEE, ACM, and consult with colleagues.
3. Continuing Post-Doctorate study and teaching in colleges.
Since I have learned and studied at school and worked for many years, I may
continue my education after DCS program. There are many opportunities for writing,
jobs, collaborating with colleagues, contributing to academia, industry, and specialty. I
may transfer the knowledge and experience to students by teaching some practical
courses in schools.
The rigor of completing the course is the paper assignments on an individual
project with some topics or concepts that are strange and unfamiliar when I do not have
enough knowledge or background. To overcome this kind of issues, I spend time to
research the subjects, read the related articles, ask and listen to scholars or experts who
have more knowledge then I prepare and apply them to the work.
E. What surprised you the most about yourself and how you approached the
course? Be specific.
The difficulties in conducting research are:
- Where do I begin?
- Quantity of literature.
- Lack of literature
- How broad or narrow are the research topics?
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- What should be discarded?
- Re-reading for improved understanding
It appears that I am able to perform well on some topics that I never work before.
The trial and error approach and common logic sense often work well. In other words, I
learn by doing it such as on-job-training. It is similar to developing a prototype system
based on the statement of requirements or procurement specifications. For example, if the
prototype system fails, I will perform a failure analysis to identify a root cause, find and
implement a solution, verify it, document the fix and release the work.
The generic strategy to solve some difficult issues in research may be planning
ahead, reading the related articles as much as possible, constantly studying and focusing
on the topic. The particular approach for a research dissertation includes many steps as
follows:
- Read the assignment – several times
- Deliberate the topic
- Outline the framework
- Research information on Internet, Cybrary, CTU Library, Scholar.google.com
- Use the links in the phases of related materials
- Identify and collect the articles with associated info
- Take notes for ideas, citation, APA style, etc.
- Read the related articles and highlight main ideas.
- Start writing the body’s parts
- Add abstract
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- Add conclusion
- Add a cover page
- Add a reference page
- Use Grammarly tool to fix all typo, grammatical errors, etc.
- Format the paper with APA style
- Review for a final version
- Submit it
- Make two or three copies (one on the desktop, one on memory flash, one in
the laptop)
What surprised me the most about myself is the ability to adapt to the difficult
situation, and a capability to solve a problem by a scientific investigation with hard work.
It is a natural skill to look at the problem and quickly to figure out a solution in a logical
and scientific approach. I feel that I am lucky to have that kind of natural skill.
F. What did you learn about yourself that will aid your progress throughout the
program?
I use a self-assessment to learn my strengths and weaknesses. For strengths, I
move forward. For weaknesses, I try to improve them as much as I can.
1. Self-Assessment:
To advance my learning in the doctoral program, I did perform a self-assessment
to evaluate the ability and capability to research work. The self-assessment will establish
a foundation to move forward in the long research journey. Refer the table for personal
assessment information.
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Personal Assessment Table for Research
Strength Weakness Note:
Hard worker and quick learner Lack of scholarly language Use strength to
move forward.
Continue
improving
weakness.
Patience in works Unskillful writing
Hospitable learning No knowledge in APA Style
Analytical skill Many grammatical errors
Scientific mind Footnotes, endnotes, bibliography
Experienced hardware design Pathetic communication
Skillful software development Accent on pronunciation
Quantitative analysis No research experience
Methodological synthesis Stressful with heavy workload
The self-assessment showed that APA style writing, using formal or semi formal
style, scholarly language, technical terms is improved significantly, document in
footnotes, endnotes, bibliography, resources for more information are improved
significantly.
To aid my progress throughout the program, I will follow and comply all
requirements to complete the DCS program in Big Data Analytics in three years. By
combining three elements (i.e., DCS program, concentration, and personal interests), I
will learn the dissertation process by making connection between the doctoral research
and six objectives as follows:
- Performing research in Big Data
- Demonstrating expertise in Big Data
- Evaluating, analyzing and solving problems in Big Data
- Communicating research results and preparing for publication
- Demonstrating ethical behavior in all aspects of professional life
- Making well-founded forecasts about futures challenges.
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In addition, the natural skill in electrical and computer engineering will help me to
make some progress throughout the program.
G. Now that you have explored some literature in the area of your tentative research
topic, what are your thoughts about the topic now? Will you refine the topic? Will
you change it?
Using a search engine in CTU Portal Library and google.scholar.com, I sort out
twenty-three academic articles and two practitioner journals for the coming research topic
ideas. Five primary academic articles that contain the possible research topics are listed
below:
- Big Data and Its Technical Challenges by Jagadish, Gehrke, Labrinidis and Shahabi
(2014).
- Big Data Meets Big Science by Wright (2014).
- Big Data and Management by George, Haas and Pentland (2014).
- Big Data and IS Research by Goes (2014).
- Business Intelligence and Analytics: From Big Data to Big Impact by Chen, Chiang
and Storey (2012).
Each scholarly journal is reviewed thoroughly for the possible research ideas.
There are many possible topics for research at three levels: (1) big data infrastructure, (2)
big data analytics, and (3) transformation and impact (Goes, 2014). There are eight
possible topics identified as listed below:
1. Understanding the massive volume of big data to find useful, meaningful
information to predict the probability of the event’s occurrence.
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2. Studying a variety of big data in multiple data formats to find common
characteristics and categorize it into several unique groups for a further study to find
some common hidden patterns.
3. Researching on big data’s velocity by improving the existing execution speed for
fast collection, processing, and consumption.
4. Seeking big data’s veracity for accuracy, truthfulness that may help to gain
competitive advantage and extend a capability such as a competitive differentiator for
business.
5. Studying privacy on the related big data.
6. Researching on big data’s usability – Can big data be re-used in some applications
that benefit to humans?
7. Studying big data integration.
8. Researching entity-relationship extraction to transform big data into the controlled
categories in advanced database systems.
It is possible that I will pick one of these topics, narrow it down, and refine it for a
final version. Notice that since the topics seem to be clear and sound, I will probably
refine it for an appropriate research application.
H. How can research inform practice?
Learning Big Data Analytics will yield many outcomes that include understanding
of big data, identifying the advantages of big data management, recognition of software
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tools available for analyzing big data. The topic of interest will be addressed through the
research. I will follow the DCS research process that includes:
a. Literature review by applying the basic skill writing
b. Using quantitative methodology
c. Introduction by addressing the topic of the intended research.
d. Findings from collecting data, information for root cause and results.
e. Results and conclusion by providing and future work.
Preparing to inform the field about my research, I will comply with dissertation
process, IRB (Institutional Review Board) process (Alexander, 2014), completion of
CITI (Collaborative Institutional Training Initiative Course) certification. I will make all
efforts to have a positively healthy mentor-mentee relationship and support from the
faculty. For example, I will follow the guidelines of the dissertation process, listen to
faculty’s advices to do a dissertation research. To inform my work, after going through
literature review and findings stages, I will perform a final defense, dissertation
preparation and publishing his work in digital repository and publication.
The goal is to enhance information by contributing to the body of knowledge
through research, scholarly writing, dissemination of research and publishing the research
work. I need to demonstrate fluency with the body of knowledge and demonstrate ability
to apply relevant knowledge to the big data field that is supplemented by a broad
integrative understanding of complementary disciplines. To improve the area, I plan to
make contributions in the big data area of expertise by providing a recommendation,
making forecasts about future challenges and new developments. Since the dissertation
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will be written scholarly in real world, I will request for committee’s approval for
publication in ProQuest Database and/or some professional organizations such as IEEE
(Institute of Electrical and Electronics Engineers) and ACM (Association for Computing
Machinery).
Notice that primary and peer responses in each phase in Discussion Board are a
good way to inform the work to the student community at CTU.
I. What approaches, habits, and techniques did you admire in your classmates?
How will you adapt the best of these into your own practices?
Some classmates have bright ideas and knowledgeable experiences on the
subjects, particularly senior classmates’ recommendations. For example in the CS828:
Advanced Topics in Databases, some students have in-depth knowledge and experience
in their field where they work with databases daily in many years. I usually learn their
skillful experience, great thoughts, better ideas, sound suggestions, and superb
approaches to taking notes and applying them on the research dissertation if possible.
J. Answer the “so what” question: how will your research shape the future of
management?
Research addresses three essential elements. They are:
1. Knowledge on the topic:
From topic ideas above, I will deliberate the topic ideas listed above and choose
one of them for research by developing an in-depth knowledge of the topic. I have been
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collecting many peer review articles and planning to organize them in an orderly manner.
I also start researching other works for preparing Chapter 2 - Literature Review.
2. Research Questions:
I start developing to specific questions that the dissertation research will address
in association to a gap in knowledge in his field of study.
3. Research Methodologies:
I am also aware of these methods include data collection, data analysis, and
interpretation of the findings. Research methodologies include quantitative, qualitative or
mixed techniques for analysis and synthesization.
The study of Big Data and its challenges will evaluate, clarify or even challenge
the existing theories. It is likely that the research findings will lead to inferences that
support the identification of new theoretical propositions. The outcomes of the research
on Big Data and its challenges will contribute to the body of knowledge. That is the
research outcome will shape the future of the following managements in fast-paced
Internet-centric expansion.
- Data management: The research outcome probably changes the way to collect,
manipulate, and distribute data as a valuable resource to those who need it in database
systems such as relational, distributed database management systems, schemaless NoSQL
databases, etc. (Connolly and Begg, 2014).
- Content management: Content is information or data in the context. It is in the
electronic or paper form of the document and Web content that recently explode with
digitization of sound files, photographs, video, and 3D models at the fast clip. The
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research outcome will provide some control how to handle this kind of content efficiently
(McNurlin, Sprague and Bui, 2009).
- Knowledge management: It becomes a key to exploiting the intellectual assets of
organizations. The research outcome may manage tacit knowledge (know-what) that is
usually in people’s heads and 's hard to make explicit (McNurlin, Sprague and Bui,
2009).
K. What key things did you learn from this course?
The course of Principles of Research & Writing that is condensed, intense, and
demanding, has an abundant resource of research information such as the literature
review, dissertation, research methodologies, etc. It assists students how to build a
foundation for research work so that doctoral student can demonstrate fluency with the
body of knowledge, and illustrate ability to apply relevant knowledge to their chosen
field, supplemented by a scholarly APA style proposal, broadly integrative understanding
of complementary disciplines. I learnt many new concepts, methods, techniques and
approaches from the basic topics to high-level subjects from a conscientious professor
(Dr. Telfer) with her knowledgeable expertise. Some important issues are:
- Research capabilities and potential research topics
- IRB (Institutional Review Board) process
- Annotated Bibliography
- Action research and literature review
- Quantitative and qualitative research
- Dissertation research approach and instruments
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- Research ethics and growth edge
- Academic, practitioner articles and dissertation.
In addition, I had a unique opportunity to ascertain scholarly APA style writing
(Glatthorn and Joyner, 2005), time management strategy, and use excellent research tools
such as Grammarly, EndNote (Endnote at CTU, 2015), Cybrary, dissertation and
literature review templates, etc. I also attended doctoral symposiums to learn new
concepts, meet academic community, and make social media network. I was taught how
to keep a healthy and productive Mentor and Mentee relationship that is one of the keys
to the success in a long and winding journey. Especially, taking this course is one of the
good ways to exercise the gracious mind for a critical, smart and scholarly thinking to
produce a research outcome that may impact and benefit for humans. And I think this is
one of the key things!
L. What are three strategies that will help you manage your time for successful
completion of this program?
The doctoral program is a long and arduous journey in the academic world. It
requires students to dedicate time, energy, and concentration in seeking the highest level
of education –maybe be the best of the best. Sometimes they may have to sacrifice
personal hobbies, leisure in order to focus on their interests in the research dissertation.
The appropriate time management is one of the ways to complete the long doctoral
journey to the end. Some strategies in time management are:
1. Set the personal and professional goals, and determine a good research plan.
2. Starting writing some topics as much as possible and plan them ahead.
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3. Read the writing out loud – Personally, this tip is not my favorite.
4.Work on the literature review or dissertation in a certain amount of time (e.g. 30
minutes) daily.
5. Create a to-do worksheet for each week with small milestones.
Or mark them on a calendar for tracking purpose.
6. Set priorities tasks for completing the dissertation.
7. Keep track an essay journal and related articles.
8. Break large tasks into small manageable work units
9. Take breaks
Some other useful strategies (more than three required strategies) on time are:
- Critical thinking
- Always planning ahead by looking up the task list and prioritize the small tasks.
- Finish up the small tasks in the expected estimate time.
- Be flexible to change as soon as possible to meet the deadlines
- Take a deep breath and re-think how to perform the tasks efficiently and effectively.
- Reflect the work and learn how to fix any mistake might have previously for next work.
Finally, other tips for time management are:
- Read related articles any time when I have a chance. For example, read a journal
while waiting to pick up my children, in the bathroom, during lunch time if I am alone.
- Make a copy of the related materials and highlight a main idea, significant concepts
- Take notes anything that come up from my mind on the assignment, e.g., use a
napkin to write a note, remark on thoughts or write the idea on my hand palm.
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- While driving a car in a commute, speak loudly on what I think about a project issue
with a tape recorder.
- Critical thinking all the time about a topic will yield some creative ideas.
- Highlight the useful ideas in the textbook or on the articles for later reference.
- Read some topic questions in the tasks to get the ideas ahead, and then read the
materials (textbooks, articles) to pay more attention to the issues. It will help save time to
find main points, primary thoughts for the answers,
- Patiently and solidly work on the paper.
- Take some break if I feel exhausted or fall to sleep while doing writing.
CONCLUSION
This final paper highlights the summary and reflection of the Doctoral Research I
Course of Principles of Research and Writing. It covers most of the key areas such as
self-assessment, growth edge, research methodologies, IRB process, literature review,
dissertation, annotated bibliography, academic and practitioner articles, research topics,
research capabilities and personal & professional goals. Twelve comprehensive questions
are answered by twelve in-depth responses to the content areas, research topics, self-
assessment, growth edge, future of management, critical sectors to move the research and
dissertation forward to the end of the long research dissertation journey at CTU. It also
provides some feedback on student’s proudness, enjoyment, time management,
admiration in classmates’ postings, etc. in this course. Furthermore, the APA style
writing, EndNote, graduate’s templates, library search, live chat sessions, etc. contribute
to doctoral students’ success to move forward close to the end of a long doctoral journey.
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REFERENCES
1. Agadish, H., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J. M.,
Ramakrishnan, R., & Shahabi, C. (2014). Big data and its technical challenges.
Communications Of The ACM, 57(7), 86-94. Doi:10.1145/2611567
2. Alexander, M. (2014, October). What is the Institutional Review Board (IRB)
Process.Presentation presented at the Doctoral Symposium of Colorado Technical
University, Englewood, CO.
3. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics:
from big data to big impact. MIS Quarterly, 36(4), 1165-1188.
4. Connolly, T. M., & Begg, C. E. (2014). Database systems: a practical approach to
design, implementation, and management. New Jersey, NJ: Pearson.
5. Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods
approaches. Sage publications
6. DePorres, D. (2014). The Dissertation Process. Presentation presented at the Doctoral
Symposium of Colorado Technical University, Englewood, CO.
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7. George, G., Haas, M. R., & Pentland, A. (2014, April). Big data and management.
Academy of Management Journal. pp. 321-326. doi:10.5465/amj.2014.4002.
8. McNurlin, B. C., Ralph H. Sprague, J., & Bui, T. (2009). Information systems
management in practice (Eighth Edition ed.). Upper Saddle River: Pearson
Prentice Hall.
9. Denzin, Norman K. & Lincoln, Yvonna S. (Eds.). (2005). The Sage Handbook of
Qualitative Research (3rd ed.). Thousand Oaks, CA: Sage.ISBN 0-7619-2757-3
10. Dixon, A. (2011). Your growing edge. Retrieved from
http://www.streetdirectory.com/travel_guide/11025/self_improvement_and_motiv
ation/your_growing_edge.html
11. Given, Lisa M. (2008). The Sage encyclopedia of qualitative research methods. Los
Angeles, Calif.: Sage Publications. ISBN 1-4129-4163-6.
12. Glatthorn, A. A., & Joyner, R. L. (Eds.), (2005). Writing the winning thesis or
dissertation: A step-by-step guide. Corwin Press.
13. Goes, P. B. (2014). Big data and IS research. MIS Quarterly, 38(3), iii-viii.
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14. Vogel, M. (2014, October). Doctor of Computer Science Overview. Presentation
presented at the Doctoral Symposium of Colorado Technical University,
Englewood, CO.
15. CTU Doctoral Students Library & Guide. (2015). CTU Library Resources. Retrieved
from http://careered.libguides.com/content.php?pid=592679&sid=4886326
16. Literature Review. (2015). Action research & literature review. Retrieved from
http://lgdata.s3-website-us-east-1.amazonaws.com/docs/3147/1102408/
Conceptual_Framework.pdf.
17. Literature Review. (2005). The purpose of a literature review. Retrieved
fromhttps://www.dlsweb.rmit.edu.au/lsu/content/2_assessmenttasks/assess_tuts/lit
_review_LL/purpose.html
18. EndNote at CTU. (2015). Online users manuals from endnote. Retrieved from
http://careered.libguides.com/ctu/endnote
19. Wright, A. (2014). Big data meets big science. Communications Of The ACM, 57(7),
13-15.doi:10.1145/2617660
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APPENDIX
Phase 6 Individual Project : Score 200/200 Grade : A (3/21/2015)
Your Feedback TS: Total points earned (rounded): 200 out of 200 (100%). Task
Requirements points earned: 50 out of 50 (100%). Demonstration and application of
knowledge points earned: 110 out of 110 (100%). Academic writing and format points
earned: 40 out of 40 (100%). Strengths: You have created a well-designed and
professional 10-page paper highlighting what you learned in this class including the
citing of 8 to 10 sources and how you will approach your research. You had the
opportunity to address some of the following suggested questions:
• What content areas did the most to advance your learning?
• What are you the most proud of as you complete this course?
• What did you enjoy the most? Why?
• Looking back, what was your most significant growth edge as it concerns topics and
the rigor of completing the course? How have you developed and changed?
• What surprised you the most about yourself and how you approached the course? Be
specific.
• What did you learn about yourself that will aid your progress throughout the
program?
• Now that you have explored some literature in the area of your tentative research
topic, what are your thoughts about the topic now? Will you refine the topic? Will you
change it?
• How can research inform practice?
• What approaches, habits, and techniques did you admire in your classmates? How will
you adapt the best of these into your own practices?
• Answer the “so what” question: how will your research shape the future of
management?
• What key things did you learn from this course?
• What are 3 strategies that will help you manage your time for successful completion of
this program?
Opportunities for improvement: None at this time
Additional Comments: You completely went above and beyond in this final project by
addressing every single point even though this was not required. Outstanding work.
I think you should also becoming a professor in the future too.
Please know I do not consider your "communication pathetic".
The lists and outlines you included really provided outstanding guidance on how to
approach certain aspects of this program. I am extremely hopeful I will have you in a
future class and you have set an outstanding example for your classmates.
Best Regards, Dr. Debby Telfer