In this course students will learn how to easily adapt their daily practice to a more rigorous experimental and analytical approach. The students will learn how to perform experiments efficiently with maximum result.
Case studies are used in training sessions to facilitate learning. They present real life decision making situations that participants discuss either through answering questions or open discussion in groups. This allows participants to thoroughly analyze and understand the case. Case studies simplify complex concepts, expose participants to real work situations, improve analytical thinking and teamwork, and provide solutions that can be references for similar future problems. However, appropriate cases may be difficult to find, present only one person's perspective, take more time than other methods, and have no single right answer. Overall, the experiential learning benefits outweigh these disadvantages.
The document discusses the process of developing a table of specifications (TOS) for assessment instruments. It defines a TOS as a table that aligns objectives, instruction, and assessment. The purpose of a TOS is to guide what topics should be included and how many items should assess each level. To prepare a TOS, teachers select learning outcomes, outline subject matter, decide on items per subtopic, and create a two-way chart listing objectives, class time spent, percentages, number of items, and item specifications based on Bloom's taxonomy. Tips for the TOS include avoiding excessive detail, focusing on major ideas, choosing an appropriate cognitive taxonomy, and weighing the distribution against student level and test constraints.
A blueprint provides a detailed guide for developing an assessment. It outlines the key topics to be covered, learning objectives to be assessed, and the number and type of questions to include. The document presented discusses how to create a blueprint by analyzing content, determining learning objectives based on Bloom's taxonomy, allocating questions to each topic based on objectives, and specifying question types and their weightings. Blueprints benefit students, teachers and administrators by ensuring assessments comprehensively and validly measure the intended curriculum.
The document provides guidance for writing test items and creating a table of specification. It explains that a table of specification is a two-way chart that describes the topics to be covered on a test and the number of items or points associated with each topic, to ensure all elements of a course of study are properly assessed. It also defines different levels of thinking skills - knowledge, comprehension, application, analysis, synthesis, and evaluation.
This document outlines the key steps in constructing a language test:
1. Developing test specifications that describe the test purpose, test takers, skills assessed, and other details.
2. Writing and revising test items based on the specifications.
3. Trying out the test on students and analyzing results to evaluate item difficulty and effectiveness.
4. Validating the test through expert review and comparing scores to other measures of student ability.
5. Conducting a public trial with future test users to get feedback and approval before finalizing the test.
This document discusses guidelines for setting effective question papers and evaluating answer scripts. It outlines the important factors to consider when framing questions, such as the purpose, objectives, and type of assessment. The types of questions that can be used are described, including objective, short answer, and essay questions. Guidelines are provided for framing questions effectively and evaluating different question types, including preparing scoring keys and marking rubrics. The conclusion emphasizes the importance of teachers playing a role in the evaluation process to create a healthy learning environment.
The document discusses the preparation phase of test construction and describes the purpose and benefits of creating a table of specifications. A table of specifications serves as a blueprint for ensuring a valid, reliable, and objective test. It provides a systematic way to determine an adequate representative sample of learner behaviors and objectives to measure within a given time frame. Creating a table of specifications also allows the test constructor to determine which objectives need more emphasis and coverage. The document provides an example of a simplified table of specifications for a 4th year math test, explaining the different columns for objectives, skills, test item types, number of items, item numbers, and scoring.
Case studies are used in training sessions to facilitate learning. They present real life decision making situations that participants discuss either through answering questions or open discussion in groups. This allows participants to thoroughly analyze and understand the case. Case studies simplify complex concepts, expose participants to real work situations, improve analytical thinking and teamwork, and provide solutions that can be references for similar future problems. However, appropriate cases may be difficult to find, present only one person's perspective, take more time than other methods, and have no single right answer. Overall, the experiential learning benefits outweigh these disadvantages.
The document discusses the process of developing a table of specifications (TOS) for assessment instruments. It defines a TOS as a table that aligns objectives, instruction, and assessment. The purpose of a TOS is to guide what topics should be included and how many items should assess each level. To prepare a TOS, teachers select learning outcomes, outline subject matter, decide on items per subtopic, and create a two-way chart listing objectives, class time spent, percentages, number of items, and item specifications based on Bloom's taxonomy. Tips for the TOS include avoiding excessive detail, focusing on major ideas, choosing an appropriate cognitive taxonomy, and weighing the distribution against student level and test constraints.
A blueprint provides a detailed guide for developing an assessment. It outlines the key topics to be covered, learning objectives to be assessed, and the number and type of questions to include. The document presented discusses how to create a blueprint by analyzing content, determining learning objectives based on Bloom's taxonomy, allocating questions to each topic based on objectives, and specifying question types and their weightings. Blueprints benefit students, teachers and administrators by ensuring assessments comprehensively and validly measure the intended curriculum.
The document provides guidance for writing test items and creating a table of specification. It explains that a table of specification is a two-way chart that describes the topics to be covered on a test and the number of items or points associated with each topic, to ensure all elements of a course of study are properly assessed. It also defines different levels of thinking skills - knowledge, comprehension, application, analysis, synthesis, and evaluation.
This document outlines the key steps in constructing a language test:
1. Developing test specifications that describe the test purpose, test takers, skills assessed, and other details.
2. Writing and revising test items based on the specifications.
3. Trying out the test on students and analyzing results to evaluate item difficulty and effectiveness.
4. Validating the test through expert review and comparing scores to other measures of student ability.
5. Conducting a public trial with future test users to get feedback and approval before finalizing the test.
This document discusses guidelines for setting effective question papers and evaluating answer scripts. It outlines the important factors to consider when framing questions, such as the purpose, objectives, and type of assessment. The types of questions that can be used are described, including objective, short answer, and essay questions. Guidelines are provided for framing questions effectively and evaluating different question types, including preparing scoring keys and marking rubrics. The conclusion emphasizes the importance of teachers playing a role in the evaluation process to create a healthy learning environment.
The document discusses the preparation phase of test construction and describes the purpose and benefits of creating a table of specifications. A table of specifications serves as a blueprint for ensuring a valid, reliable, and objective test. It provides a systematic way to determine an adequate representative sample of learner behaviors and objectives to measure within a given time frame. Creating a table of specifications also allows the test constructor to determine which objectives need more emphasis and coverage. The document provides an example of a simplified table of specifications for a 4th year math test, explaining the different columns for objectives, skills, test item types, number of items, item numbers, and scoring.
The document discusses how to improve test reliability by providing clear instructions, unambiguous questions, familiar formatting, and objective scoring. It recommends training scorers, reviewing items for errors, using parallel distractors of similar length, and avoiding subjectively scored items or those that provide clues. Tables of specifications can improve validity by matching test questions to course content and objectives. Formative evaluations provide ongoing feedback, while summative evaluations assess effectiveness after full implementation.
The document provides guidelines for constructing a valid, reliable, and usable test or exam. It discusses the importance of ensuring content validity by covering all important course areas and staying within the syllabus. Questions should be clear, specific, and have an unambiguous marking scheme. The document also recommends planning the test structure with the appropriate knowledge, understanding, application and skill weightings. The response should be 3 sentences or less.
The document outlines the steps involved in developing and administering a test:
1) Determining the objectives and purpose of the test, 2) Developing a test blueprint to guide item sampling, 3) Creating items and determining scoring methods, and 4) Administering and analyzing the test results. It also discusses different types of learning objectives, domains of learning, and considerations for test design like open vs. closed book and testing frequency.
The document outlines the 5 main steps in test development: 1) test conceptualization which includes defining what will be measured and pilot studies, 2) test construction including scaling methods, writing items, and approaches, 3) test tryout, 4) item analysis to evaluate item difficulty, reliability, validity, and discrimination, and 5) test revision to ensure quality over time as needed. Key aspects include defining the construct being measured, using various scaling and scoring models, analyzing item performance, and revalidating tests periodically.
The document discusses the steps involved in preparing a question paper for nursing education. These include: 1) Designing the format and structure of the paper; 2) Creating a blueprint to map learning objectives, topics, and question types; 3) Developing model questions and a marking scheme; 4) Refining the questions for clarity, difficulty level, and grammar; 5) Editing and numbering the paper; and 6) Reviewing the paper for coverage, abilities tested, adherence to blueprint, precision, and errors. The goal is to create an objective and standardized exam that reliably evaluates students.
Polishing the examination – key points, Liz Norman, ANZCVS Exam Writing Works...Liz Norman
Polishing the examination – key points
A presentation given at the Australian and New Zealand College of Veterinary Scientists Examination Writing Workshop, November 2013
Liz Norman, Massey University, New Zealand
This document discusses the importance and components of a Table of Specifications (TOS). It notes that a TOS is a two-way chart that describes the topics to be covered on a test and the number of items or points associated with each topic. It emphasizes that a TOS identifies the objectives and content to be measured, helps ensure a fair test, and should be developed before instruction begins. Using a TOS can improve the validity of teacher-made tests and thereby provide a more valid assessment of student achievement.
This document provides guidance on developing test specifications, or a test blueprint, for an assessment. It outlines key information to include such as the assessment objectives, intended audience, testing environment limitations, and a formula for determining the number of test items per instructional objective based on teaching hours. The test specifications help ensure the assessment is appropriately targeted and administered.
This document provides guidance on constructing a table of specifications (TOS) for test questions. It discusses the key elements needed for an effective TOS, including: thorough knowledge of Bloom's Revised Taxonomy; reference to budgeted lesson plans; simple mathematical computations; recall of teaching experiences; and preparation of budgeted lessons. The document reviews Bloom's Revised Taxonomy in detail and provides a step-by-step process for developing a TOS, including: determining the desired number of test items, listing topics and time spent, calculating the number of items per topic, adjusting totals, and allocating items across cognitive domains and topics.
The document provides guidance on developing and using a table of specifications (TOS) to help teachers construct valid classroom tests. A TOS helps ensure tests are aligned to instruction by mapping objectives, time spent on each objective, and cognitive level taught to the number and type of test items. It provides evidence that tests accurately measure the intended content and require similar levels of thinking to what was taught. The document explains how to create a sample TOS and use it to determine the proportion of test items devoted to each objective based on class time. An effective TOS can improve the validity of inferences made from classroom tests.
Topic: Table of Specification
Student Name: Hina Shabbir
Class: M.Ed
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Recommendations play an important role in research studies by suggesting actions or policies based on the study's findings and conclusions, not personal beliefs. Recommendations should be logically reasoned and relevant to the specific topic, as well as feasible and attainable. They can advise on policies, future research directions, solutions to problems identified, or improvements and changes to current practices.
Classroom Assessment Techniques in Higher Education TeachingIsabeau Iqbal
Introduction to Classroom Assessment Techniques for teaching in higher education. Lesson plan that accompanies these slides can be found at isabeauiqbal.ca (resources section).
This document provides an overview of the MBA 715 - Forensic Research & Analysis course. The course aims to develop critical thinkers and evidence-based managers through engaging scholarship. It focuses on current empirical literature related to fraud and forensics. The course objectives are to understand empirical research in this area, learn the research process and methodology, develop critical thinking for defining research problems, and familiarize students with evidence-based management. It is part of a three-course research sequence culminating in an empirical study capstone project. The course format is online asynchronous delivery over 5 weeks with an emphasis on learning through hands-on application and frequent feedback.
A 45-year-old male presents with
progressive difficulty in walking for the past 6
months. On examination, he has weakness of
both lower limbs, increased tone and brisk
reflexes. The most likely diagnosis is:
a) Guillain-Barré syndrome
b) Amyotrophic lateral sclerosis
c) Multiple sclerosis
d) Spinal muscular atrophy
Key: b
Multiple completion type
Stem is an incomplete statement with more
than one blank
Examinee has to select the appropriate
choice to complete the statement
Directions: Each question has four alternatives.
Select the most appropriate answer to complete
the statement
This document discusses different types of test questions used in education measurement and evaluation. It describes supply type tests where students must supply missing information, including short answer and extended answer varieties. Short answer questions assess basic knowledge through one word to short responses, while extended/essay questions allow lengthier, paragraph responses to measure higher-order thinking. Selection type tests involve choosing from options, including true/false, matching, and multiple choice questions. The advantages and disadvantages of each question type are outlined.
The document summarizes key points from a presentation about constructing theoretical and conceptual frameworks in Ph.D theses. It discusses that theoretical and conceptual frameworks are important visual representations that are often asked about by assessors and examiners. It defines each framework and explains that they are constructed over time based on the progression of the research. The theoretical framework visually represents how theories inform the study, while the conceptual framework shows how concepts are interconnected and related to research objectives. The document recommends placing frameworks in Chapter 2 and being prepared to modify them based on feedback.
Writing the Theoretical and Conceptual Framework of a Quantitative Researchschool
This document discusses theoretical and conceptual frameworks in research. It defines a theory as a set of constructs, definitions, and propositions that explain phenomena. The theoretical framework comprises concepts and theories that guide a study. The conceptual framework provides the scope and range of a concept and discusses how theories combine. Important purposes of a conceptual framework include identifying the research problem and connecting variables to hypotheses. Key steps in constructing a conceptual framework involve examining keywords and variables, selecting an applicable theory, and describing the theory's relevance. Examples of conceptual frameworks include the IV-DV model and IPO model.
This document discusses key aspects of research methodology, including:
- Defining a research problem, which refers to a difficulty a researcher wants to solve through theoretical or practical means. Important criteria include having alternatives and outcomes.
- Selecting a research problem by considering novelty, importance, resources, and other factors like time and costs.
- Developing a research design that details the means of collecting information and procedures for studying the problem based on objectives, resources, and the nature of the problem.
- Experimental design principles include replication, randomization, and control groups to test hypotheses scientifically.
1) The document discusses content analysis and pedagogical analysis. Content analysis is a research technique used to analyze text and determine the presence of words, concepts, themes. Pedagogical analysis involves breaking down the content into smaller units and determining instructional objectives, teaching methods, and evaluation devices.
2) The key steps of pedagogical analysis are dividing content into sub-units, determining previous knowledge required, setting objectives, selecting teaching strategies like methods and aids, providing examples, and creating assessment items.
3) Pedagogical analysis helps ensure effective teaching by comprehensively analyzing tasks, strategies, and goals to improve delivery of information.
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory CourseKatrin Becker
The document summarizes an inquiry-based introductory computer science course that was designed to reconcile traditional syllabus structures with more flexible learning approaches. Key aspects included having students drive content exploration within specified goals and outcomes. Assessment was criterion-based and focused on mastery through rubrics rather than exams. The course offered choice in assignments mapped to objectives to support different learning levels, with benefits of greater investment but costs of requiring extensive preparation and flexibility from instructors.
The document discusses how to improve test reliability by providing clear instructions, unambiguous questions, familiar formatting, and objective scoring. It recommends training scorers, reviewing items for errors, using parallel distractors of similar length, and avoiding subjectively scored items or those that provide clues. Tables of specifications can improve validity by matching test questions to course content and objectives. Formative evaluations provide ongoing feedback, while summative evaluations assess effectiveness after full implementation.
The document provides guidelines for constructing a valid, reliable, and usable test or exam. It discusses the importance of ensuring content validity by covering all important course areas and staying within the syllabus. Questions should be clear, specific, and have an unambiguous marking scheme. The document also recommends planning the test structure with the appropriate knowledge, understanding, application and skill weightings. The response should be 3 sentences or less.
The document outlines the steps involved in developing and administering a test:
1) Determining the objectives and purpose of the test, 2) Developing a test blueprint to guide item sampling, 3) Creating items and determining scoring methods, and 4) Administering and analyzing the test results. It also discusses different types of learning objectives, domains of learning, and considerations for test design like open vs. closed book and testing frequency.
The document outlines the 5 main steps in test development: 1) test conceptualization which includes defining what will be measured and pilot studies, 2) test construction including scaling methods, writing items, and approaches, 3) test tryout, 4) item analysis to evaluate item difficulty, reliability, validity, and discrimination, and 5) test revision to ensure quality over time as needed. Key aspects include defining the construct being measured, using various scaling and scoring models, analyzing item performance, and revalidating tests periodically.
The document discusses the steps involved in preparing a question paper for nursing education. These include: 1) Designing the format and structure of the paper; 2) Creating a blueprint to map learning objectives, topics, and question types; 3) Developing model questions and a marking scheme; 4) Refining the questions for clarity, difficulty level, and grammar; 5) Editing and numbering the paper; and 6) Reviewing the paper for coverage, abilities tested, adherence to blueprint, precision, and errors. The goal is to create an objective and standardized exam that reliably evaluates students.
Polishing the examination – key points, Liz Norman, ANZCVS Exam Writing Works...Liz Norman
Polishing the examination – key points
A presentation given at the Australian and New Zealand College of Veterinary Scientists Examination Writing Workshop, November 2013
Liz Norman, Massey University, New Zealand
This document discusses the importance and components of a Table of Specifications (TOS). It notes that a TOS is a two-way chart that describes the topics to be covered on a test and the number of items or points associated with each topic. It emphasizes that a TOS identifies the objectives and content to be measured, helps ensure a fair test, and should be developed before instruction begins. Using a TOS can improve the validity of teacher-made tests and thereby provide a more valid assessment of student achievement.
This document provides guidance on developing test specifications, or a test blueprint, for an assessment. It outlines key information to include such as the assessment objectives, intended audience, testing environment limitations, and a formula for determining the number of test items per instructional objective based on teaching hours. The test specifications help ensure the assessment is appropriately targeted and administered.
This document provides guidance on constructing a table of specifications (TOS) for test questions. It discusses the key elements needed for an effective TOS, including: thorough knowledge of Bloom's Revised Taxonomy; reference to budgeted lesson plans; simple mathematical computations; recall of teaching experiences; and preparation of budgeted lessons. The document reviews Bloom's Revised Taxonomy in detail and provides a step-by-step process for developing a TOS, including: determining the desired number of test items, listing topics and time spent, calculating the number of items per topic, adjusting totals, and allocating items across cognitive domains and topics.
The document provides guidance on developing and using a table of specifications (TOS) to help teachers construct valid classroom tests. A TOS helps ensure tests are aligned to instruction by mapping objectives, time spent on each objective, and cognitive level taught to the number and type of test items. It provides evidence that tests accurately measure the intended content and require similar levels of thinking to what was taught. The document explains how to create a sample TOS and use it to determine the proportion of test items devoted to each objective based on class time. An effective TOS can improve the validity of inferences made from classroom tests.
Topic: Table of Specification
Student Name: Hina Shabbir
Class: M.Ed
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Recommendations play an important role in research studies by suggesting actions or policies based on the study's findings and conclusions, not personal beliefs. Recommendations should be logically reasoned and relevant to the specific topic, as well as feasible and attainable. They can advise on policies, future research directions, solutions to problems identified, or improvements and changes to current practices.
Classroom Assessment Techniques in Higher Education TeachingIsabeau Iqbal
Introduction to Classroom Assessment Techniques for teaching in higher education. Lesson plan that accompanies these slides can be found at isabeauiqbal.ca (resources section).
This document provides an overview of the MBA 715 - Forensic Research & Analysis course. The course aims to develop critical thinkers and evidence-based managers through engaging scholarship. It focuses on current empirical literature related to fraud and forensics. The course objectives are to understand empirical research in this area, learn the research process and methodology, develop critical thinking for defining research problems, and familiarize students with evidence-based management. It is part of a three-course research sequence culminating in an empirical study capstone project. The course format is online asynchronous delivery over 5 weeks with an emphasis on learning through hands-on application and frequent feedback.
A 45-year-old male presents with
progressive difficulty in walking for the past 6
months. On examination, he has weakness of
both lower limbs, increased tone and brisk
reflexes. The most likely diagnosis is:
a) Guillain-Barré syndrome
b) Amyotrophic lateral sclerosis
c) Multiple sclerosis
d) Spinal muscular atrophy
Key: b
Multiple completion type
Stem is an incomplete statement with more
than one blank
Examinee has to select the appropriate
choice to complete the statement
Directions: Each question has four alternatives.
Select the most appropriate answer to complete
the statement
This document discusses different types of test questions used in education measurement and evaluation. It describes supply type tests where students must supply missing information, including short answer and extended answer varieties. Short answer questions assess basic knowledge through one word to short responses, while extended/essay questions allow lengthier, paragraph responses to measure higher-order thinking. Selection type tests involve choosing from options, including true/false, matching, and multiple choice questions. The advantages and disadvantages of each question type are outlined.
The document summarizes key points from a presentation about constructing theoretical and conceptual frameworks in Ph.D theses. It discusses that theoretical and conceptual frameworks are important visual representations that are often asked about by assessors and examiners. It defines each framework and explains that they are constructed over time based on the progression of the research. The theoretical framework visually represents how theories inform the study, while the conceptual framework shows how concepts are interconnected and related to research objectives. The document recommends placing frameworks in Chapter 2 and being prepared to modify them based on feedback.
Writing the Theoretical and Conceptual Framework of a Quantitative Researchschool
This document discusses theoretical and conceptual frameworks in research. It defines a theory as a set of constructs, definitions, and propositions that explain phenomena. The theoretical framework comprises concepts and theories that guide a study. The conceptual framework provides the scope and range of a concept and discusses how theories combine. Important purposes of a conceptual framework include identifying the research problem and connecting variables to hypotheses. Key steps in constructing a conceptual framework involve examining keywords and variables, selecting an applicable theory, and describing the theory's relevance. Examples of conceptual frameworks include the IV-DV model and IPO model.
This document discusses key aspects of research methodology, including:
- Defining a research problem, which refers to a difficulty a researcher wants to solve through theoretical or practical means. Important criteria include having alternatives and outcomes.
- Selecting a research problem by considering novelty, importance, resources, and other factors like time and costs.
- Developing a research design that details the means of collecting information and procedures for studying the problem based on objectives, resources, and the nature of the problem.
- Experimental design principles include replication, randomization, and control groups to test hypotheses scientifically.
1) The document discusses content analysis and pedagogical analysis. Content analysis is a research technique used to analyze text and determine the presence of words, concepts, themes. Pedagogical analysis involves breaking down the content into smaller units and determining instructional objectives, teaching methods, and evaluation devices.
2) The key steps of pedagogical analysis are dividing content into sub-units, determining previous knowledge required, setting objectives, selecting teaching strategies like methods and aids, providing examples, and creating assessment items.
3) Pedagogical analysis helps ensure effective teaching by comprehensively analyzing tasks, strategies, and goals to improve delivery of information.
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory CourseKatrin Becker
The document summarizes an inquiry-based introductory computer science course that was designed to reconcile traditional syllabus structures with more flexible learning approaches. Key aspects included having students drive content exploration within specified goals and outcomes. Assessment was criterion-based and focused on mastery through rubrics rather than exams. The course offered choice in assignments mapped to objectives to support different learning levels, with benefits of greater investment but costs of requiring extensive preparation and flexibility from instructors.
This course introduces students to research methodology. It provides an overview of quantitative and qualitative research methods and their application in higher education. The course aims to help students develop key research skills including conducting literature reviews, using APA style citations, identifying elements of research proposals, and understanding different research designs. Assessment focuses on demonstrating knowledge of research processes and writing skills. A core assignment involves producing a 10-12 page literature review and presentation on a higher education topic of interest. The concept paper format outlined provides guidance for structuring research proposals, including sections on introduction, problem statement, objectives, methodology and literature review.
This document provides the course plan for a Quantitative Methods course taught at Gyan Ganga Institute of Technology & Management.
The course aims to introduce students to basic statistical techniques for business decision making. It covers topics like descriptive statistics, probability, inferential statistics, regression, correlation, and the use of statistical software.
The course is designed to help students understand and apply statistical concepts to business problems. It will use methods like lectures, case discussions, student presentations and assignments to teach topics over 38 sessions. Student performance will be evaluated through class participation, assignments, quizzes and tests.
The document discusses the Table of Specification (TOS), a tool used to design tests and exams. The TOS breaks down the topics to be covered on the test according to the number of questions asked from each topic and the cognitive levels of questions. It helps ensure content validity and that a representative sample of questions is included. The major columns of the TOS include the competencies to be tested, hours spent on each competency, cognitive levels required, and number/percentage of items for each competency. The cognitive levels described are Remembering, Understanding, Applying, Analyzing, Evaluating, and Creating. The document provides examples of questions for each cognitive level and guidelines for constructing a TOS.
This document discusses 8 choices that researchers must make when designing qualitative research studies: 1) whether to start with a research design or not; 2) whether to take steps to strengthen validity; 3) how to clarify units of data collection; 4) how to attend to sampling; 5) whether to incorporate concepts/theories; 6) whether to plan early for participant feedback; 7) whether to be concerned with generalizing findings; and 8) whether to prepare a research protocol. The document provides guidance on each of these design elements.
Please pay attention to all the details. The instructor told me th.docxstilliegeorgiana
Please pay attention to all the details. The instructor told me the conclusion must include all the topics learned in this class sin ce week 2. I added all the necessary info you need to complete the conclusion for my final paper.
Concusion Section
7 - Conclusion: In this section, the student will identify a summary of their EBP project as well as consider the potential contribution to their specialty track (FAMILY NURSE PRACTITIONER) practice setting. The required content includes: MUST BE A COMPREHENSIVE CONCLUSION FROM WEEK 2 THROUGH WEEK 7
· Provide a comprehensive summary of key points from this EBP proposal project (PART A)
WEEK 2 – To develop an EBP PICOT/PICo question as well as a research question, numerous sources can trigger the spirit of inquiry, or to put it simply, the "I wonder . . . ?" The sources include, but are not limited to, the following.
· Identification of a concern in a practice area (i.e., "I wonder how I can prevent . . . ")
· Inconsistencies found in professional literature (i.e., Article A says I should do X, but Article B says that the preferred action is Y. I wonder which one is correct for my practice area.")
· Problems occurring with the practice area (i.e., "This has been a problem in the unit as long as I can remember; I wonder how I can improve the . . . ")
· Reviewing nursing theory (i.e., "I read that knowledge helps with self-care; I wonder whether it would help to foster patient compliance with . . . )
Although the source of the EBPPICOT/PICo or research study question can vary based upon your practice area and its related events, the role of nursing theory is where this week begins.
WEEK 3 – Discussions - Elements of Quantitative Research: Design and Sampling
This discussion will explore the quantitative approach sampling and design by analyzing a single study quantitative research article related to your specialty track. WEEK 4 - Developing New Evidence: Qualitative Research Studies Overview of the Qualitative Research Approach
Qualitative research studies phenomena in their natural settings. By using the natural settings, this design interprets phenomena in terms of the meanings that people bring to them. Qualitative research aims to get a better understanding through firsthand experience because subjects share thoughts, feelings, and experiences. Qualitative research involves the collection of a variety of empirical materials. These materials include, but are not limited to, case study, personal experience, life story, interviews, observations, historical perspectives, interactional, and visual texts. All of this information becomes data that describe routine as well as problematic moments with the meanings these moments have in individuals' lives.
Often, the qualitative approach is used as the initial research study in an area of interest because it will help to explore and define the phenomena. By gaining an understanding of underlying reasons, opinions, and motivations, it provid ...
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.
General Framework for Setting Examination Papers and Test PapersWilliam Kapambwe
The document provides guidance on developing test specifications and examination papers, including defining test content and mapping domains, using taxonomies to classify learning objectives, and selecting assessment methods that align with domains of learning. It discusses Bloom's taxonomy and provides examples of verbs for different cognitive levels. Assessment options are described for various learning domains, including cognitive, affective, and psychomotor. Frameworks like Romiszowski's are presented for relating knowledge and skills to test construction. The importance of congruence between learning outcomes and assessment methods is emphasized.
The document provides guidance on developing test specifications and examination papers, including defining test content and mapping, using taxonomies to classify learning objectives, choosing appropriate assessment methods based on the cognitive, affective, and psychomotor domains being assessed, and ensuring congruency between learning outcomes and assessment techniques. It discusses Bloom's and Romiszowski's taxonomies and provides examples of verbs to use for different levels. The conclusion emphasizes the importance of aligning assessments with the intended learning outcomes.
This document outlines the course objectives, content, teaching methods, and assessment details for a Design of Experiments course. The course has 5 modules that cover topics such as experimental design principles, factorial experiments, analysis of variance, quality by experimental design, signal-to-noise ratios, and parameter and tolerance design. Teaching methods include lectures, videos, problem solving, group discussions, and assignments. Students will learn to design and analyze experiments to obtain objective conclusions. Assessment includes continuous internal evaluations with tests and assignments worth 50% and an end of semester exam worth 50%.
Nursing research is a systematic process that helps nurses answer questions about patient care, education, and administration. It ensures practices are evidence-based rather than tradition-based. Nursing research can be conducted in various settings to evaluate effectiveness of techniques, determine educational needs, and refine existing knowledge. The overall goal is to develop an evidence-based body of knowledge to guide the nursing profession.
Earli 2011 Db Methodology Practice Oriented ResearchCees Terlouw
This document presents a design-based methodology for practice-oriented research. It discusses using study counseling group meetings to address the problem of high dropout rates for students entering higher education. The methodology aims to bridge the gap between research and practice through collaborative work between practitioners and researchers. It presents a reconstructed model and results from evaluating study counseling group meetings, which showed lower dropout rates for participating students after one year. The document concludes that the model provides an approach for unifying research and practice, and that integrating practical and academic results into a shared knowledge base is needed.
This document summarizes key points from a seminar on aligning assessments. The seminar covered:
- Defining assessment and exploring how it fits within a standards-based system
- Analyzing classroom assessment options and aligning them to content standards
- Discussing four types of assessments: selected response, constructed response, performance, and personal communication
- Learning how to choose assessments that best measure specific standards while being efficient to implement
The goal was for teachers to understand how to align assessments to standards and design assessments that inform instruction and support student learning.
This document outlines the methodology of design-based research (DBR) for improving educational practices. DBR is defined as a flexible methodology that iteratively develops and tests innovations through collaboration between researchers and practitioners in real-world settings. This leads to context-sensitive design principles and theories. DBR aims to address local problems while also advancing theoretical knowledge. It produces learning environment designs, software, design narratives, and theoretical accounts based on data collected through repeated measurements over the course of design, implementation, analysis, and redesign cycles.
The document discusses the 5-E model of instruction for teaching science. The 5-E model includes 5 phases - Engage, Explore, Explain, Elaborate, and Evaluate. The Engage phase introduces a topic to spark curiosity. The Explore phase allows students to experiment. The Explain phase guides students to understand concepts. The Elaborate phase has students apply concepts to new situations. The Evaluate phase assesses student learning throughout the process. The 5-E model is based on an inquiry approach and is designed to help students develop scientific understanding.
The document provides an overview of preparing a research proposal, including key sections. It discusses the importance of properly defining the research problem and designing the study through determining appropriate methods, sampling techniques, and data analysis procedures. The main components of an effective research proposal are outlined as the title, introduction, statement of the problem, procedures, time/cost estimates, and appendices.
This document outlines the objectives and content of a research methods course. The course aims to teach students key concepts in research including constructs, relationships, indicators, and research models. It will explain quantitative, qualitative, and design science approaches. Students will learn skills like formulating research questions, designing instruments, collecting and analyzing data, writing proposals, and reviewing research articles. The course will be taught through lectures, discussions, assignments, projects and presentations. Students will be assessed through quizzes, assignments, exams, and a project proposal.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
2. Description of the Course Goals: Increase sensitivity for doing experiments in an efficient and effective way. Getting to know how to analyze data Exploring the possibilities to optimize processes Means: Presentation in the group Experimental intermezzo’s Homework + feedback Take own case Structure: Half-day sessions 5 – 6 sessions, spread over 5 – 6 weeks. Level: to be discussed; the character of the training will be adapted to the conceptual level expected.
3. Layout of the course Session 1: Introduction to experimenting Purpose Variables Experiments Full factorial 2^N example Session 2: Experimental options and analyses Options (confounding and partial factorial schemes) Analyses (strategy, ANOVA) Session 3: Expanding and alternative experiments Continued: analyses (outliers, multiple regression) Statistical model en optimalisation CCD and Box-Behnken Session 4: Taguchi Philosophy Original approach Advantages/disadvantages Integration with classical methods: robust design Session 5: Own case