Presentation of the workshop "An approach to assessing students’ competences developed through math research" by MatLan - Romania, held during the 8th Science Projects Workshop in the Future Classroom Lab, Brussels, 16-18 October 2015
Constructing fair tests that give teachers accurate information about students' learning is important. A table of specification helps organize test planning and content validity by determining what content will be covered. Rubrics can also help with validity when used appropriately. Multiple choice tests can be valid for assessing certain cognitive levels like knowledge and comprehension, but other assessment types may better measure skills and higher-level thinking. Teachers should consider cognitive level and learning objectives when choosing assessments.
The document provides a revision checklist for IGCSE Geography students. It outlines the key topics and content that students need to know to prepare for their exams. The checklist is organized into three themes: population and settlement, the natural environment, and economic development. For each topic area, the checklist specifies the key details students should understand and provides space to check off topics once revised. It aims to help students systematically plan their revision and identify any gaps in knowledge.
This document provides guidance for writing a psychology experiment report. It outlines the key sections that should be included such as the title, abstract, introduction, method, results, discussion, and deadlines. For each section, it describes the types of information that should be included and provides a marking scheme for evaluating the content and quality. The overall purpose is to help students structure their report and understand what is required to receive a high mark.
This document provides an overview and unpacking of the 4th grade mathematics Common Core State Standards that will be implemented in North Carolina schools in 2012-2013. It is intended to help educators understand what students need to know and be able to do to meet the standards. New concepts for 4th grade include factors and multiples, multiplying fractions by whole numbers, and angle measurement. The document also discusses the Standards for Mathematical Practice and the two critical areas of focus for 4th grade: multi-digit multiplication and division.
Mpa res 2 how to write your full blown research proposalKaren S.
This document outlines the typical structure and contents of a research proposal, including introduction of the research problem and background, literature review, methodology, and statistical analysis plan. Key sections are the statement of the problem, theoretical framework, research design, sampling method, data collection procedures, and statistical treatment of data. The document provides guidance on the level of detail and number of pages typically included in each section of a full research proposal.
Emil Pulido on Qualitative Research: Analyzing Qualitative DataEmilEJP
There are no set formulas or steps for analyzing and interpreting qualitative research data. The main goals are to summarize the collected data accurately and find meaning within the data. When analyzing qualitative data, researchers should explore all possible perspectives to identify patterns and new understandings. Suggested steps include becoming familiar with the data, identifying themes, describing findings, categorizing and coding data, and looking for themes. Computer software can help with data storage and manipulation but does not replace the researcher's analysis abilities. Strategies for interpretation include extending the analysis, connecting findings to experiences, seeking advice, contextualizing within literature, and linking to theory. Researchers should ensure the credibility of interpretations by considering factors like observation reliability and potential biases.
This document is an outline for a dissertation submitted in partial fulfillment of a Master's degree in Business Administration. It includes standard sections such as an abstract, table of contents, introduction, literature review, research methodology, data analysis and interpretation, conclusion and recommendations. The introduction provides background on the topic, objectives, significance and problem statement. The literature review analyzes previous research. The methodology describes the theoretical framework, hypotheses, research design, data collection and analysis. Data analysis and interpretation employs statistics to analyze collected data. The conclusion states outcomes and recommendations provides suggestions to solve issues investigated.
Candidates for the AS Biology exam take three papers:
- Paper 1 consists of 40 multiple choice questions testing knowledge across the AS syllabus.
- Paper 2 consists of structured questions of variable mark value testing knowledge across the AS syllabus.
- Paper 31 or 32 consists of two parts, one involving use of a microscope, to test experimental skills over 1 hour working with biological materials. Candidates answer all questions on these papers.
Constructing fair tests that give teachers accurate information about students' learning is important. A table of specification helps organize test planning and content validity by determining what content will be covered. Rubrics can also help with validity when used appropriately. Multiple choice tests can be valid for assessing certain cognitive levels like knowledge and comprehension, but other assessment types may better measure skills and higher-level thinking. Teachers should consider cognitive level and learning objectives when choosing assessments.
The document provides a revision checklist for IGCSE Geography students. It outlines the key topics and content that students need to know to prepare for their exams. The checklist is organized into three themes: population and settlement, the natural environment, and economic development. For each topic area, the checklist specifies the key details students should understand and provides space to check off topics once revised. It aims to help students systematically plan their revision and identify any gaps in knowledge.
This document provides guidance for writing a psychology experiment report. It outlines the key sections that should be included such as the title, abstract, introduction, method, results, discussion, and deadlines. For each section, it describes the types of information that should be included and provides a marking scheme for evaluating the content and quality. The overall purpose is to help students structure their report and understand what is required to receive a high mark.
This document provides an overview and unpacking of the 4th grade mathematics Common Core State Standards that will be implemented in North Carolina schools in 2012-2013. It is intended to help educators understand what students need to know and be able to do to meet the standards. New concepts for 4th grade include factors and multiples, multiplying fractions by whole numbers, and angle measurement. The document also discusses the Standards for Mathematical Practice and the two critical areas of focus for 4th grade: multi-digit multiplication and division.
Mpa res 2 how to write your full blown research proposalKaren S.
This document outlines the typical structure and contents of a research proposal, including introduction of the research problem and background, literature review, methodology, and statistical analysis plan. Key sections are the statement of the problem, theoretical framework, research design, sampling method, data collection procedures, and statistical treatment of data. The document provides guidance on the level of detail and number of pages typically included in each section of a full research proposal.
Emil Pulido on Qualitative Research: Analyzing Qualitative DataEmilEJP
There are no set formulas or steps for analyzing and interpreting qualitative research data. The main goals are to summarize the collected data accurately and find meaning within the data. When analyzing qualitative data, researchers should explore all possible perspectives to identify patterns and new understandings. Suggested steps include becoming familiar with the data, identifying themes, describing findings, categorizing and coding data, and looking for themes. Computer software can help with data storage and manipulation but does not replace the researcher's analysis abilities. Strategies for interpretation include extending the analysis, connecting findings to experiences, seeking advice, contextualizing within literature, and linking to theory. Researchers should ensure the credibility of interpretations by considering factors like observation reliability and potential biases.
This document is an outline for a dissertation submitted in partial fulfillment of a Master's degree in Business Administration. It includes standard sections such as an abstract, table of contents, introduction, literature review, research methodology, data analysis and interpretation, conclusion and recommendations. The introduction provides background on the topic, objectives, significance and problem statement. The literature review analyzes previous research. The methodology describes the theoretical framework, hypotheses, research design, data collection and analysis. Data analysis and interpretation employs statistics to analyze collected data. The conclusion states outcomes and recommendations provides suggestions to solve issues investigated.
Candidates for the AS Biology exam take three papers:
- Paper 1 consists of 40 multiple choice questions testing knowledge across the AS syllabus.
- Paper 2 consists of structured questions of variable mark value testing knowledge across the AS syllabus.
- Paper 31 or 32 consists of two parts, one involving use of a microscope, to test experimental skills over 1 hour working with biological materials. Candidates answer all questions on these papers.
The document discusses various techniques for assessing and evaluating learning in the classroom. It describes several commonly used classroom assessment techniques (CATs) such as the one-minute paper, muddiest point, and directed paraphrasing. These CATs provide insights into student learning and help students monitor their own progress. The document also discusses evaluation methods like multiple choice questions, true-false questions, matching questions, essay questions, and rubric-based scoring of assessments. The goal is to choose evaluation tools that effectively test students' mastery of learning objectives.
This document discusses principles and methods of research data interpretation. It describes how data is organized, analyzed, and interpreted to draw meaningful inferences. Specifically, it outlines various methods of data interpretation including direct observation, tables, graphs, numerical/statistical methods, and mathematical modeling. It emphasizes that interpretation establishes relationships within data and relates results to existing knowledge to further research. Proper interpretation requires avoiding biases and false generalizations.
The document provides guidance on summarizing data from field work and investigations. It outlines three levels of summary: a brief description of results (Level 1), a good description of results that gives meaning and some conclusions (Level 2), and a detailed description with clear reasons for results and conclusions that link back to original ideas (Level 3). Past examiners noted the best investigations used a variety of techniques and clearly described, explained data, and identified links between data to draw sound conclusions connected to the original topic. Conclusions should return to key ideas, use useful data to answer questions, evaluate hypotheses, summarize main points, and link the investigation back to examples.
Wynberg girls high-Jade Gibson-maths-data analysis statisticsWynberg Girls High
The document discusses different types of data and methods for analyzing and displaying data. It describes quantitative and qualitative data, discrete and continuous data. It also explains various methods for interpreting data including pictorial methods like graphs and arithmetic methods like measures of central tendency and dispersion. Specific graphs and measures discussed include histograms, bar graphs, mean, median, mode, range, percentiles, quartiles, and interquartile range. The document also cautions about potential ways that graphs and statistics can be misleading.
The document provides guidance on the structure and components of a scientific research paper, outlining the typical chapters which include an introduction, literature review, methodology, results and discussion, conclusion, and recommendations. Instructions are given for key sections such as the abstract, hypothesis, and bibliography. The purpose of the research paper is to investigate and solve a scientific problem or question using the scientific method.
How to write your dissertation data analysis chapters.The Free School
This document provides guidance on writing data analysis chapters for a doctoral thesis. It begins by explaining that data analysis chapters differ from introductory chapters in that they are where the author advances scholarly knowledge by interpreting evidence related to their research question. The document then provides tips on structuring data analysis chapters, with each chapter containing an introduction, analytical middle section, and conclusion. It emphasizes writing chapters that cumulatively advance a core theoretical argument through paragraphs that follow an "argument-evidence-conclusion" structure known as a "sandwich." Overall, the document aims to help doctoral candidates effectively analyze and present data in their thesis.
There are two main types of composite measures - indexes and scales. Indexes use nominal level indicators that are given equal weight, while scales use continuous level indicators where each response contributes differently to the total score. Both can be weighted or unweighted. Constructing indexes and scales requires selecting valid items, examining relationships between items and constructs, and handling missing data. Common scale types include Thurstone, Likert, semantic differential, and Guttman scales. Typologies summarize variables into nominal categories but risk oversimplification. Validity and reliability are important concepts for measuring devices.
This document discusses data interpretation and provides details on what interpretation is, its importance, techniques for interpretation, and precautions that should be taken. Interpretation refers to drawing inferences from collected facts after analytical study and finding broader meanings of research results. It helps explain factors observed in a study and provides guidance for future research. Proper interpretation establishes connections between studies and explanatory concepts, and is necessary to understand abstract principles and the real significance of findings.
Step-by-by instructions collecting and analyzing quantitative and qualitative data for graduate and dissertation students. Provide information and use sample writings to draft your paper.
The document provides guidance on organizing and structuring an effective report on an event. It recommends determining the presentation style and tailoring the report for different audiences. Key recommendations include tracking important information throughout the event, highlighting the top points rather than including unnecessary details, writing an executive summary, and including visuals like charts, photos and samples to better illustrate the content. The purpose is to concisely communicate the event outcomes, results and key takeaways for sponsors and other stakeholders in a clear and impactful way.
1) The document provides guidelines for critiquing a research study, outlining important aspects that should be evaluated such as the title, abstract, introduction, methods, results, discussion, and conclusion.
2) Key areas that are assessed include whether the problem and objectives are clearly defined, the sampling and data collection methods are appropriate, the data is analyzed correctly, and the conclusions are supported by the results.
3) A successful critique answers questions about each component of the study and evaluates whether the report achieves the purpose of research through rigorous methodology and meaningful findings.
The document provides an introduction to research methodology. It defines research and discusses the main types of research: exploratory research, descriptive research, explanatory research, basic research, and applied research. It also discusses types of applied research and the time dimension of research, including cross-sectional, longitudinal, and cohort analysis. Finally, it outlines different types of research approaches such as empirical research, qualitative research, quantitative research, and historical research, and discusses the key characteristics of research.
Data representation and analysis - MathematicsNayan Dagliya
Statistical and numerical methods are essential for representing and analyzing massive amounts of data in the modern world. Common statistical diagrams like scatter plots, histograms, ogives, pie charts and bar graphs are used to visualize different types of data. Key statistical measures include the mean, median, mode, standard deviation and coefficient of variance. Statistics has applications in many fields including actuarial science, business analytics, demography, environmental science, machine learning and more. Analyzing data using statistics and extracting important information is crucial across many domains.
The data, collected for research, has to be processed, analyzed and interpreted to develop a solution to the research question.
Data analysis is a practice in which unorganized or unfinished data is ordered and organized so that useful information can be extracted from it.
It is the most enjoyable part of carrying out the research since after all of the hard works and waiting the researcher gets the chance to find out the answers. So analyzing the data and interpreting the results are the “reward” for the work of collecting the data.
The observation method is the most commonly used method for behavioral science studies. It involves direct observation by the investigator without asking questions to respondents. This allows the investigator to obtain information about current behaviors. It is less demanding than interview or questionnaire methods as it does not require active cooperation from respondents. Some common observation techniques include warranty cards, pantry audits, and distributor audits.
This document provides guidance for teachers on getting started with teaching the Common Core State Standards. It discusses aligning pacing guides to the CCSS, understanding the structure and components of the CCSS document, using standards and crosswalks to identify what content is staying the same and what is changing, the emphasis on mathematical practices, examples of performance tasks and sample test items, and strategies for teaching like proof drawings and math talks. It also addresses assessment design and ensuring lessons and pacing allow sufficient time for students to master the depth and rigor of the new standards.
This document provides a rubric for evaluating student research papers. It evaluates papers across several dimensions, including research title, introduction (background, literature review, significance), research framework, research problem, definition of terms, methods (research design, data gathering, analysis), results and discussion, conclusion and recommendations, citations and references, and grammar/composition. Each dimension contains 3-6 criteria for excellent performance and provides a rating scale from excellent to needs improvement. The rubric aims to make evaluations objective and provide useful feedback to students.
This document discusses the presentation of results and data in research papers. It explains that the results section presents findings from the study in tables, figures and narrative text. The discussion section interprets the results and explains how they help answer the research question. Data should be presented clearly and concisely using tables, figures, graphs or other visuals as appropriate. The purpose is to report the key findings and discuss their implications.
Scientix 9th SPWatFCL Brussels 6-8 November 2015: EU Space AwarenessBrussels, Belgium
Presentation of the project "EU Space Awareness" by Teodora Ioan, held during the 9th Science Projects Workshop in the Future Classroom Lab, Brussels, 6-8 November 2015
Scientix 4th SPNE Barcelona 16 April 2015: IrresistibleBrussels, Belgium
This document describes the Irresistible project, which aims to raise youth awareness of Responsible Research and Innovation through inquiry-based science education. It lists Irresistible's university and research institute partners across 10 European countries. The project focuses on engaging students through educational materials combining scientific content and societal issues. Example modules address topics like nanoscience, renewable energy, and the role of carbohydrates in mother's milk. Materials are designed for both formal and informal learning environments. The goal is to produce and test learning activities while increasing awareness of responsible research practices among students, teachers, and researchers.
STEM and European Schoolnet: Scientix, inGenious and Go-LabBrussels, Belgium
- The document discusses several European Schoolnet (EUN) projects focused on STEM education, including Scientix, inGenious, and Go-Lab.
- Scientix is a community for science education in Europe that aims to improve science teaching and learning from primary through secondary school. It includes resources like an online portal and annual conferences.
- inGenious works to engage students in STEM careers through school-industry collaboration. It collects examples of such partnerships and evaluates their effectiveness.
- The document provides details on the goals, activities, and impact of these various EUN STEM initiatives in promoting science, technology, engineering, and math education across Europe.
The document discusses various techniques for assessing and evaluating learning in the classroom. It describes several commonly used classroom assessment techniques (CATs) such as the one-minute paper, muddiest point, and directed paraphrasing. These CATs provide insights into student learning and help students monitor their own progress. The document also discusses evaluation methods like multiple choice questions, true-false questions, matching questions, essay questions, and rubric-based scoring of assessments. The goal is to choose evaluation tools that effectively test students' mastery of learning objectives.
This document discusses principles and methods of research data interpretation. It describes how data is organized, analyzed, and interpreted to draw meaningful inferences. Specifically, it outlines various methods of data interpretation including direct observation, tables, graphs, numerical/statistical methods, and mathematical modeling. It emphasizes that interpretation establishes relationships within data and relates results to existing knowledge to further research. Proper interpretation requires avoiding biases and false generalizations.
The document provides guidance on summarizing data from field work and investigations. It outlines three levels of summary: a brief description of results (Level 1), a good description of results that gives meaning and some conclusions (Level 2), and a detailed description with clear reasons for results and conclusions that link back to original ideas (Level 3). Past examiners noted the best investigations used a variety of techniques and clearly described, explained data, and identified links between data to draw sound conclusions connected to the original topic. Conclusions should return to key ideas, use useful data to answer questions, evaluate hypotheses, summarize main points, and link the investigation back to examples.
Wynberg girls high-Jade Gibson-maths-data analysis statisticsWynberg Girls High
The document discusses different types of data and methods for analyzing and displaying data. It describes quantitative and qualitative data, discrete and continuous data. It also explains various methods for interpreting data including pictorial methods like graphs and arithmetic methods like measures of central tendency and dispersion. Specific graphs and measures discussed include histograms, bar graphs, mean, median, mode, range, percentiles, quartiles, and interquartile range. The document also cautions about potential ways that graphs and statistics can be misleading.
The document provides guidance on the structure and components of a scientific research paper, outlining the typical chapters which include an introduction, literature review, methodology, results and discussion, conclusion, and recommendations. Instructions are given for key sections such as the abstract, hypothesis, and bibliography. The purpose of the research paper is to investigate and solve a scientific problem or question using the scientific method.
How to write your dissertation data analysis chapters.The Free School
This document provides guidance on writing data analysis chapters for a doctoral thesis. It begins by explaining that data analysis chapters differ from introductory chapters in that they are where the author advances scholarly knowledge by interpreting evidence related to their research question. The document then provides tips on structuring data analysis chapters, with each chapter containing an introduction, analytical middle section, and conclusion. It emphasizes writing chapters that cumulatively advance a core theoretical argument through paragraphs that follow an "argument-evidence-conclusion" structure known as a "sandwich." Overall, the document aims to help doctoral candidates effectively analyze and present data in their thesis.
There are two main types of composite measures - indexes and scales. Indexes use nominal level indicators that are given equal weight, while scales use continuous level indicators where each response contributes differently to the total score. Both can be weighted or unweighted. Constructing indexes and scales requires selecting valid items, examining relationships between items and constructs, and handling missing data. Common scale types include Thurstone, Likert, semantic differential, and Guttman scales. Typologies summarize variables into nominal categories but risk oversimplification. Validity and reliability are important concepts for measuring devices.
This document discusses data interpretation and provides details on what interpretation is, its importance, techniques for interpretation, and precautions that should be taken. Interpretation refers to drawing inferences from collected facts after analytical study and finding broader meanings of research results. It helps explain factors observed in a study and provides guidance for future research. Proper interpretation establishes connections between studies and explanatory concepts, and is necessary to understand abstract principles and the real significance of findings.
Step-by-by instructions collecting and analyzing quantitative and qualitative data for graduate and dissertation students. Provide information and use sample writings to draft your paper.
The document provides guidance on organizing and structuring an effective report on an event. It recommends determining the presentation style and tailoring the report for different audiences. Key recommendations include tracking important information throughout the event, highlighting the top points rather than including unnecessary details, writing an executive summary, and including visuals like charts, photos and samples to better illustrate the content. The purpose is to concisely communicate the event outcomes, results and key takeaways for sponsors and other stakeholders in a clear and impactful way.
1) The document provides guidelines for critiquing a research study, outlining important aspects that should be evaluated such as the title, abstract, introduction, methods, results, discussion, and conclusion.
2) Key areas that are assessed include whether the problem and objectives are clearly defined, the sampling and data collection methods are appropriate, the data is analyzed correctly, and the conclusions are supported by the results.
3) A successful critique answers questions about each component of the study and evaluates whether the report achieves the purpose of research through rigorous methodology and meaningful findings.
The document provides an introduction to research methodology. It defines research and discusses the main types of research: exploratory research, descriptive research, explanatory research, basic research, and applied research. It also discusses types of applied research and the time dimension of research, including cross-sectional, longitudinal, and cohort analysis. Finally, it outlines different types of research approaches such as empirical research, qualitative research, quantitative research, and historical research, and discusses the key characteristics of research.
Data representation and analysis - MathematicsNayan Dagliya
Statistical and numerical methods are essential for representing and analyzing massive amounts of data in the modern world. Common statistical diagrams like scatter plots, histograms, ogives, pie charts and bar graphs are used to visualize different types of data. Key statistical measures include the mean, median, mode, standard deviation and coefficient of variance. Statistics has applications in many fields including actuarial science, business analytics, demography, environmental science, machine learning and more. Analyzing data using statistics and extracting important information is crucial across many domains.
The data, collected for research, has to be processed, analyzed and interpreted to develop a solution to the research question.
Data analysis is a practice in which unorganized or unfinished data is ordered and organized so that useful information can be extracted from it.
It is the most enjoyable part of carrying out the research since after all of the hard works and waiting the researcher gets the chance to find out the answers. So analyzing the data and interpreting the results are the “reward” for the work of collecting the data.
The observation method is the most commonly used method for behavioral science studies. It involves direct observation by the investigator without asking questions to respondents. This allows the investigator to obtain information about current behaviors. It is less demanding than interview or questionnaire methods as it does not require active cooperation from respondents. Some common observation techniques include warranty cards, pantry audits, and distributor audits.
This document provides guidance for teachers on getting started with teaching the Common Core State Standards. It discusses aligning pacing guides to the CCSS, understanding the structure and components of the CCSS document, using standards and crosswalks to identify what content is staying the same and what is changing, the emphasis on mathematical practices, examples of performance tasks and sample test items, and strategies for teaching like proof drawings and math talks. It also addresses assessment design and ensuring lessons and pacing allow sufficient time for students to master the depth and rigor of the new standards.
This document provides a rubric for evaluating student research papers. It evaluates papers across several dimensions, including research title, introduction (background, literature review, significance), research framework, research problem, definition of terms, methods (research design, data gathering, analysis), results and discussion, conclusion and recommendations, citations and references, and grammar/composition. Each dimension contains 3-6 criteria for excellent performance and provides a rating scale from excellent to needs improvement. The rubric aims to make evaluations objective and provide useful feedback to students.
This document discusses the presentation of results and data in research papers. It explains that the results section presents findings from the study in tables, figures and narrative text. The discussion section interprets the results and explains how they help answer the research question. Data should be presented clearly and concisely using tables, figures, graphs or other visuals as appropriate. The purpose is to report the key findings and discuss their implications.
Scientix 9th SPWatFCL Brussels 6-8 November 2015: EU Space AwarenessBrussels, Belgium
Presentation of the project "EU Space Awareness" by Teodora Ioan, held during the 9th Science Projects Workshop in the Future Classroom Lab, Brussels, 6-8 November 2015
Scientix 4th SPNE Barcelona 16 April 2015: IrresistibleBrussels, Belgium
This document describes the Irresistible project, which aims to raise youth awareness of Responsible Research and Innovation through inquiry-based science education. It lists Irresistible's university and research institute partners across 10 European countries. The project focuses on engaging students through educational materials combining scientific content and societal issues. Example modules address topics like nanoscience, renewable energy, and the role of carbohydrates in mother's milk. Materials are designed for both formal and informal learning environments. The goal is to produce and test learning activities while increasing awareness of responsible research practices among students, teachers, and researchers.
STEM and European Schoolnet: Scientix, inGenious and Go-LabBrussels, Belgium
- The document discusses several European Schoolnet (EUN) projects focused on STEM education, including Scientix, inGenious, and Go-Lab.
- Scientix is a community for science education in Europe that aims to improve science teaching and learning from primary through secondary school. It includes resources like an online portal and annual conferences.
- inGenious works to engage students in STEM careers through school-industry collaboration. It collects examples of such partnerships and evaluates their effectiveness.
- The document provides details on the goals, activities, and impact of these various EUN STEM initiatives in promoting science, technology, engineering, and math education across Europe.
The document describes the PRIMAS project, which aimed to promote inquiry-based learning in mathematics and science education across Europe between 2010-2013. It involved 12 countries and provided teaching materials, professional development for teachers, and support for implementing inquiry-based learning. For teachers, the project used a cascade model of professional development, including off-job, by-job, and in-job learning. It organized professional development courses and provided guidance for supporting teacher actions. Dissemination activities also targeted school authorities, parents, and students to promote understanding of inquiry-based learning.
Scientix: building a community for science education in EuropeBrussels, Belgium
Scientix is an EU-funded project managed by European Schoolnet that aims to build a community for science education in Europe. It provides a portal and networking opportunities to connect STEM projects and encourage collaboration. The portal disseminates project resources and outcomes. Scientix also organizes conferences and workshops to facilitate sharing of ideas and resources among STEM teachers and project teams. The current phase, Scientix 2, runs from 2013-2015 and aims to expand the community to more participants.
Presentation of the project "CRESCENDO" by Alberto Muñoz Rodriguez, held during the 10th Scientix Projects Networking Event, Brussels, 26 February 2016
ToTCOOP+i Lesson plan unit_3_final_version_enToTCOOPiTech
This document outlines a training program on financial risk management for cooperative company board members. It includes the following:
- Training objectives, contents, activities, duration, methods, and target group for the program.
- A list of 6 learning activities, including descriptions of activities such as a PowerPoint presentation on risk management, an icebreaker to introduce participants, and exercises to illustrate key concepts and spark self-reflection.
- The goal is to help board members understand financial risk sources and management procedures, and mitigate risks using hedging strategies. Interactive methods like group work and discussions are incorporated throughout the 12-hour blended program.
This document provides guidance on developing the methodology section of a research project. It discusses key components of a methodology section including describing the study design, sampling method, data collection tools, and data analysis procedures. A good methodology section clearly explains how the research will be conducted so that others could understand and potentially replicate the study. It also discusses how the chosen research methods should be appropriate for answering the research question and achieving the study's objectives.
This document defines and describes thinking, reasoning and working mathematically (t, r, w m) and how it can be promoted in mathematics learning. T, r, w m involves making decisions about what mathematical knowledge to use, incorporates communication skills, and is developed through engaging investigations. It promotes higher-order thinking and confidence in doing math. The document outlines how t, r, w m can be encouraged in three phases of investigations: identifying problems, understanding concepts, and justifying solutions. Teachers can support t, r, w m through discussion, challenging problems, and reflection. The curriculum promotes these skills through real-world problems, investigative approaches, and connections between topics.
The document provides guidance on writing the Method section of a research paper. The Method section should describe the study in enough detail that other researchers could replicate it. It includes subsections for participants, design, materials, apparatus, procedure, and participant characteristics. The participants subsection describes the number, demographics, and source of participants. The design subsection describes the research design. The materials subsection lists what was used to collect data. The procedure subsection provides a step-by-step description of how the study was conducted. The goal is to give readers a clear understanding of how the research was performed.
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.
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.
Assignment Instructions
YouTube: https://www.youtube.com/
PCTECHGUIDE: www.pctechguide.com/
Instructions:For this project, complete the following using screenshots, images or diagram of sample products, processes, etc. to illustrate and descriptive texts to address the items below (you may also consult YouTube.com as a source) This is not a research paper; however, provide your source(s):
1. Identify at least three types of computers, how they process information, and the purpose and function of each computer.
2. Identify how software and hardware work together to perform computing tasks and how software is developed and upgraded.
3. Identify at least three different types of application software and provide a general description each application software.
4. Using an operating system, identify what is an operating system, how it works, and how it solves common problems related to the operating systems.
5. Illustrate the process of using an operating system to manipulate a computer’s desktop, files and disks.
6. Use screenshots, images or diagram of sample products, processes, etc. to illustrate and descriptive texts to explain each items provided.
Submission Instructions: Upon completion, submit your completed project in this area of the classroom for grading.
************
Grading Rubric
Assessment Rubric
Exemplary
Accomplished
Developing
Beginning
Points Available
Points Earned
· Identify at least three types of computers, how they process information, and the purpose and function of each computer.
Student effectivelycompleted the assignment.
Student partiallycompleted the assignment.
The student providedlimited and meaninglesssubstance completing the assignment.
Student failed to complete the assignment.
15
· Identify how software and hardware work together to perform computing tasks and how software is developed and upgraded.
Student effectivelycompleted the assignment.
Student partiallycompleted the assignment.
The student providedlimited and meaninglesssubstance completing the assignment.
Student failed to complete the assignment.
15
· Identify at least three different types of application software and provide a general description each application software.
Student effectivelycompleted the assignment.
Student partiallycompleted the assignment.
The student providedlimited and meaninglesssubstance completing the assignment.
Student failed to complete the assignment.
15
· Using an operating system, identify what is an operating system, how it works, and how it solves common problems related to the operating systems.
Student effectivelycompleted the assignment.
Student partiallycompleted the assignment.
The student providedlimited and meaninglesssubstance completing the assignment.
Student failed to complete the assignment.
15
· Illustrate the process of using an operating system to manipulate a computer’s desktop, files and disks.
Student effectivelycompleted the assignment.
Student partiallycompleted the assignment.
The stu.
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.
Elaborating on Process and Results: A Comprehensive Analysis and Interpretationassignmentcafe1
Join us on an insightful journey as we dive deep into the process and results of a comprehensive analysis, providing a thorough understanding and interpretation of the findings. In this engaging SlideShare presentation, we will explore the intricacies of conducting a rigorous analysis, deciphering the outcomes, and deriving meaningful insights.
In this presentation, we will introduce the importance of conducting a comprehensive analysis in various fields and disciplines. Understand the value of robust research methodologies, data collection techniques, and analytical tools in gaining a deeper understanding of complex phenomena. Explore how the analysis process illuminates patterns, relationships, and trends that inform decision-making, shape strategies, and drive improvements.
We will delve into the key steps involved in conducting a comprehensive analysis. Explore the stages of data collection, data cleaning, and data transformation to ensure the integrity and quality of the dataset. Understand various analysis methods, such as quantitative analysis, qualitative analysis, or mixed-method approaches, depending on the nature of the research questions and available data.
Furthermore, we will discuss the interpretation and presentation of the results. Learn how to interpret statistical findings, identify significant patterns, and extract meaningful insights from the data. Explore the effective visualization and communication techniques to present the results in a clear and compelling manner, catering to different audiences and stakeholders.
Through case studies, examples, and practical insights, we will showcase the importance of interpreting the results in the context of the research objectives and real-world implications. Discuss the process of drawing conclusions, making recommendations, and translating findings into actionable strategies. Explore the ethical considerations of data analysis and the responsible use of findings.
Whether you are a researcher, analyst, decision-maker, or simply interested in the analytical process, this presentation will provide you with a comprehensive understanding of analysis methods and interpretation techniques. Let us embark on a journey of analysis, unraveling the complexities, and deriving meaningful insights that drive informed decisions and impactful outcomes.
This document outlines a lesson plan for a geometry problem involving the design of road construction to minimize costs. The problem aligns with common core math standards around applying geometric methods to design problems. The instructional strategy has students work in teams to use prior knowledge and construct various models to solve the problem. The learning objective is for students to create geometric representations of highway designs and calculate costs of different routes. The technology of Geometer's Sketchpad is used to enhance the lesson by providing accurate visuals and measurements to support students' critical thinking about different problem solving methods.
This document outlines a lesson plan for teaching students to apply geometric methods to solve a design problem related to minimizing the cost of road construction. The lesson uses Geometer's Sketchpad software to allow students to model different road construction routes and calculate costs. Students work in teams to come up with various solutions using prior knowledge of distance formulas and geometric representations. The technology enhances the lesson by providing precise measurements and visual representations to help students efficiently test different problem-solving methods. It also supports critical thinking by engaging students in interactive modeling and exploration of solutions.
Assignment Details For this component, you will need to ch.docxrock73
Assignment Details
For this component, you will need to choose one of the research topics from the list below.
Your task is to develop an hypothesis based on your chosen research topic and to design a
true experiment to test your hypothesis. You will then ‘write up’ your experiment in the
form of an APA style methods section containing the following sections: design statement,
participants, materials, procedures, and use of variables. this assignment must be
submitted via Turnitin.
Research Topics
1. The relationship between the alcohol and risk taking behaviour.
2. The relationship between social media use and self-esteem.
3. The relationship between video games and aggressive behaviour.
4. The relationship between sleep and mood.
5. The relationship between physical activity and cognitive capacity.
What are the assessment criteria?
The following criteria will be assessed: design statement, participants, materials,
procedure, and use of variables.
Helpful Advice For Component 2
• The best way to approach this component is to imagine that you have designed a
study, collected the data and you writing it up as a methods section for an APA journal.
• The purpose of the methods section is to tell the reader what you did and how you
did it. It should always be written in the past tense.
• When thinking about the amount of detail that you need to include, a good guide is
that another researcher should be able to replicate your experiment based on what you
have written.
• A good place to start is to look at methods sections of other papers that have used
a similar design or materials to what you have used.
• Each section has a similar weighting (2 – 6 marks out 20), so your word count
should be spread relatively evenly across each section (i.e.., 80 – 100 words per section).
Assignment Title: Portfolio – Component 2: Experimental Design
Due Date: 23:55 January 22nd
Document Format:
Formatted according to APA guidelines (size 12 Times New
Roman Font, justified, double-spaced lines). Your name and
word count must be included in the header. (Please include
Simple Title Page).
File Format:
Microsoft Word File – the file name must contain your
surname and the assessment number, for e.g.,
Smith-Component2.docx
Word count range: 500 – 600 words (maximum of 600 words, penalties apply)
Weighting:
The Portfolio contributes 60% to the final grade for this course.
Component 2 contributes 40% to the final grade for this course
(i.e. 40/60 of the Portfolio mark).
Reference list required: A separate reference list is not required. If you need to cite a reference, include the Author(s) and year in the text.
• Design Statement
The section should give a logical outline of the experiment. It should describe:
• The hypothesis;
• The type of design;
• The independent variable;
• The dependent variable.
Suggestion: Do not include too much information about the procedure – the design
statement should be a clear, concise ...
This document outlines a curriculum project focused on problem solving. It discusses the foundation of applying technology, pedagogy and content knowledge (TPACK) to curriculum and instruction. The essential question is about the role of problem solving in society's evolution. Standards for technology literacy and mathematical practice involving problem solving are presented. Objectives are to apply and demonstrate a four-step problem solving process by creating a multimedia presentation. Assessment involves a multimodal project showing the problem solving process.
This document outlines the key steps and considerations for writing a dissertation in data analytics, including identifying patterns in data, deriving insights, developing predictive models, and using models to make decisions. It emphasizes that dissertations should apply these analytical activities to address real-world problems or opportunities. The dissertation should demonstrate that the stated research was actually conducted and convincingly report the solutions found. Various research methods, tools, types of data, and analytical project types are also discussed.
Here are 10 drafting materials and tools/drawing instruments I found in the puzzle:
1. T-square
2. Protractor
3. Compass
4. Divider
5. Triangle
6. Eraser
7. Pencil
8. Ruler
9. Scale
10. Drawing paper
MECHANICAL DRAFTING
K to 12 – Technology and Livelihood Education
13
How Do You Apply What You Learned?
Activity 1.1
Directions: Identify the drafting materials and tools/drawing instruments shown in the
pictures below. Write your answers on a separate sheet of paper.
1.
2.
3.
This document outlines the typical sections and components of a science research paper, including an introduction, literature review, methodology, results, and conclusion. It discusses key elements like stating a clear purpose, hypotheses, methods, data analysis, findings, and recommendations. The document provides guidance on how to structure and present each section to effectively communicate the research.
The document discusses the systems approach in education. It defines the systems approach as a problem-solving process that engages a series of steps to solve an identified educational problem. The systems approach has two major parts: system analysis and system synthesis. System analysis involves breaking down the problem into components, while system synthesis uses the data from system analysis to select and implement solution strategies. The systems approach focuses on all elements of instruction, including the learner, content, experiences, and strategies to ensure the components work as an organic whole to achieve the objectives. Some advantages of the systems approach are that it helps identify suitable resources and allows for continuous improvement. Limitations include resistance to change and that it requires hard work.
This document outlines the typical research process, including developing a research question based on personal experiences and a literature review, establishing a conceptual framework, choosing a research strategy and data generation methods, collecting and analyzing data, and evaluating the overall process. It describes common strategies like surveys, experiments, case studies, and ethnography. It also discusses using multiple data sources and analysis methods to validate findings through triangulation. The overall model presents research as a cyclical process of planning, implementation, analysis, and reflection.
The document discusses using new technologies to enhance technical education in Scottish Borders schools. It provides examples of sharing course programs between schools, new forms of assessment, and utilizing technologies like online portfolios. It also addresses how literacy skills are developed through design-based learning activities that allow students to estimate, measure, evaluate their work, and apply specialist skills to make quality products.
The document discusses research reports and their components. It provides examples of formal and informal research topics. It also outlines the typical sections of a research report such as the abstract, introduction, methodology, results, discussion, and conclusion. An example of a student research report on utilizing used electrical wires to create accessories is also provided with details on the introduction, research questions, and methodology. Overall, the document serves as a guide for writing formal research reports with standardized components and formats.
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Scientix 8th SPWatFCL Brussels 16-18 October 2015: An approach to assessing students’ competences developed through math research
1. Workshop An approach to assessing students’ competences developed through math research - MatLan
project – Ariana-Stanca Vacaretu
An approach to assessing students’ competences developed through math research – Outline of the
workshop
1. What is ‘competence’? How do you assess students’ math/ sciences competences? What kind of
instruments & methods do you use?
2. Discussion on MatLan competence wheel & approach for developing assessment tools.
3. Participants read the handout Making use of aids and tools competence. Q&A
4. Group work – define assessment strategy (methods and tools) for assessing the Making use of aids
and tools competence.
MatLan competence wheel & approach for developing assessment tools
2. Workshop An approach to assessing students’ competences developed through math research - MatLan project – Ariana-Stanca Vacaretu
3. Workshop An approach to assessing students’ competences developed through math research - MatLan
project – Ariana-Stanca Vacaretu
Handout
Competence: Making use of aids and tools (IT included)
Definition of the competence
This competence has been defined by Mogens Niss and Tomas Hojgaard (Niss, 2011) as consisting of:
a. having knowledge of the existence and properties of the diverse forms of relevant tools used in
mathematics and having an insight into their possibilities and limitations in all sorts of contexts;
b. being able to reflectively use such aids.
Concept clarification
According to Cambridge Dictionaries (Cambridge University, 2015) a tool is a piece of equipment that
you use with your hands to make or repair something while an aid is a piece of equipment that helps you
to do something.
Examples of aids and tools used by students in the MeJ workshop
Types of aids and tools Reasons for using the aids
and tools
Sycamore
tree leaf
observation/
recognising mathematical
structures
analysis of the midrib and
the veins/
portraying mathematical
relationships
Protractor identifying the measure of
the angle between the
midrib and the veins/
portraying mathematical
relationships
4. Types of aids and tools Reasons for using the aids
and tools
Calculator calculating values ( r(n) =
𝑓 𝑛+1
𝑓 𝑛
) to identify patterns/
portray mathematical
relationships
Mathematica
– software
creating a model to check
the solution/ ascertain the
reasonableness of a
mathematical solution and
any limits and constraints
to that solution, given the
context of the problem
Geogebra representing values ( r(n) =
𝑓 𝑛+1
𝑓 𝑛
) to identify patterns/
assist in implementing
processes and
procedures to determine
mathematical solutions
5. Types of aids and tools Reasons for using the aids
and tools
Plotting
paper
representing graphs/
assisting in implementing
processes and procedures
to determine mathematical
solutions
Python
programme
representing mathematical
concepts
(building the Fibonacci
spiral using squares)/
visualisation
Table 1: Aids and tools students used when working on the Modelling plant growth topic
6. Components Behaviour Behavioural
indicator
Low (novice) Medium (competent) High (expert)
Having
knowledge of
the existence
and
properties of
the diverse
forms of
relevant tools
used in
mathematics
and having an
insight into
their
possibilities
and
limitations in
all sorts of
contexts
Student
- chooses the appropriate tools and
aids s/he already used during the
math lessons by describing their
possibilities and limitations in the
research topic context;
- searches for appropriate tools and
aids s/he might use when
researching the topic, learns how
to use them, and describes their
possibilities and limitations in the
research topic context;
- constructs the tools and aids
necessary for understanding and
solving the research task.
They represent research topic
related data and/ or relationships by
using tools and aids.
They make appropriate use of
various aids and tools that may assist
in implementing processes and
procedures for determining
mathematical solutions.
They interpret the resulting findings
from using the tools and aids.
Identifies and
uses at least two
aids and tools
that may assist
mathematical
research activity
and clearly
describes the
limitations of the
used tools.
Identifies and uses 2 aids
and tools s/he already
used during the math
lessons; the used aids and
tools may assist in
formulating the research
task mathematically.
Describes, in general
terms, the possibilities
and the limitations of the
used tools.
Identifies and uses at
least 2 aids and tools s/he
already used during the
math lessons.
Searches for appropriate
tools and aids s/he might
use when researching the
topic, learns how to use
them.
The aids and tools used
may assist in
implementing processes
and procedures for
determining
mathematical solutions.
Using the tools involves a
sequence of process or
linking different
information.
Describes the possibilities
and the limitations of the
used tools by illustrating
what s/he means.
Identifies and uses at least
2 complex aids and tools
(with multiple
functionalities) which may
assist in implementing
processes and procedures
to determine mathematical
solutions; the aids and
tools are either tools s/he
already used during the
math lessons or new tools
s/he identifies.
If necessary, constructs
new tool(s) necessary for
understanding and solving
the research task.
Interprets the resulting
findings from using the
tools and aids.
Describes the possibilities
and the limitations of the
used tools by illustrating
what s/he means, after
reflecting to understand
and evaluate the merits
and limitations of the tool.
Being able to
reflectively
use such aids
Student analyses the use of aids and
tools (which aids and tools they have
used, why they used these aids and
tools). They evaluate the use of the
aids and tools and communicate
their learning from this experience.
They may reflect on what else they
could have used, and why they
ended up not using those aids and
tools.
Being able to
reflectively use
such aids
Analyses the use of aids
and tools (which aids and
tools they have used and
why).
Evaluates the use of the
aids and tools and
communicates their
learning from this
experience.
Evaluates the use of the
aids and tools and
communicates their
learning from this
experience.
Reflects on what else s/he
could have used, and why
s/he ended up not using
those aids and tools.
Table 2: Criteria of behavioural indicators of the competence making use of aids and tools within the MeJ context
7. Level Level description
6 The student identifies and uses at least 3 familiar or non-familiar, complex aids and tools (with
multiple functionalities) which may assist in implementing processes and procedures for
determining mathematical solutions.
Constructs new tool(s) - necessary for understanding and solving the research task.
Interprets the resulting findings from using the tools and aids.
Describes the possibilities and the limitations of the used tools by illustrating what s/he means,
after reflecting to understand and evaluate the merits and limitations of the tool.
Evaluates the use of the aids and tools and communicates their learning from this experience.
Reflects on what else s/he could have used, and why s/he ended up not using those aids and
tools.
5 The student identifies and uses 3 familiar or non-familiar, complex aids and tools (with multiple
functionalities) which may assist in implementing processes and procedures for determining
mathematical solutions. Has the idea to create a new tool or aid necessary for understanding and
solving the research task (e.g. a programme).
Interprets the resulting findings from using the tools and aids.
Describes the possibilities and the limitations of the used tools by illustrating what s/he means,
after reflecting to understand and evaluate the merits and limitations of the tool.
Evaluates the use of the aids and tools and communicates their learning from this experience.
Reflects on what else s/he could have used.
4 The student identifies and uses 3 aids and tools for implementing processes and procedures for
determining mathematical solutions. Searches for appropriate tools and aids s/he might use
when researching the topic, learns how to use them.
Describes the possibilities and the limitations of the used tools by illustrating what s/he means.
Evaluates the use of the aids and tools and communicates their learning from this experience.
3 The student identifies and uses at least 2 aids and tools, familiar or non-familiar. Using the tool
involves a sequence of process or linking different information. The aids and tools used may
assist in implementing processes and procedures to determine mathematical solutions.
Describes the possibilities and the limitations of the used tools by illustrating what s/he means.
Evaluates the use of the aids and tools.
2 The student identifies and uses 2 tools and aids s/he already used during math lessons. Using the
tools involves a sequence of processes. The used aids and tools may assist the student in
formulating the research task mathematically. Describes, in general terms, the possibilities and
the limitations of the used tools and aids.
Analyses the use of both aids and tools (which aids and tools they have used, why they used
these aids and tools).
1 The student identifies and uses 2 familiar tools and aids (e.g. measuring instruments, objects that
are mentioned in the text of the research task). S/he describes, in general terms, the possibilities
and the limitations of the used tools.
S/he uses the tools and aids in order to recognise mathematical structures in the text of the
research topic.
S/he names the used tools and formulates one reason for using the identified tools.
Table 3. The developmental progression of the competence making use of aids and tools within the MeJ context