دانلود کتاب Manage Your Own Learning Analytics: Implement a Rasch Modelling Approach

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Preface
Contents
Editor and Contributors
Privacy-Driven Learning Analytics
Introduction
Analytics and Privacy in Educational Research
Learning Analytics Data and Associated Risks
Policies and Frameworks
Technical Solutions
Stage 1—Risk Assessment and Privacy
Measuring Re-Identification Risk
Examples of Re-Identification Risk Mitigation Techniques
Stage 2—Towards Provable Privacy
Provable Privacy Enhancing Mechanisms
Privacy-Driven Learning Analytics
Conclusion
References
Using Log Stream Data and Item Response Theory to Understand Proficiency in Collaboration
Assessing 21st Century Skills
Method
Overview
Develop Tasks that Capture Log Stream Data
Turning Log Stream Data into Measurement Items
Results
Fit of Items to the Rasch Model
Wright Map
Interpreting the Assessment Data
Moving from a Wright Map to Understanding Skill Development
A Broader Sense of the Skill
Conclusion
References
Introductory Analysis of the Rasch Model
Rasch Model
Overview
Tests
Parameter Estimation
Fit Statistics
χ2 Statistic
Outfit and Infit
Significance and Sample Size
Conclusion
Appendix
Dichotomous Model as a Function of Outcome, x
R Code for Toy Example
References
Data Evaluation of Happiness Scale Online Study: A Rasch Measurement Analysis
Introduction
Background
Literature Review
Research Design and Methodology
Research Questions
Results
Data Preparation
Part: II Data Review
Part: III Data Review
Data Analysis
Correlation Study
Research Question-1
Research Question-2
Research Question-3
Research Question-4
Research Question-5
Research Question-6
Research Question-7
Research Question-8
Research Question-9
Research Question-10
Category Probability Curves
Discussion
Conclusions
Appendix—Research Survey
Research Questionnaire Addressed to Young Students of Secondary School/Technical School
Part: II Survey
Part III: The Scale of Experiencing Happiness (SDS)
A Research Questionnaire for Young People
References
Social Media Analytics, Learning Analytics and Healthcare Industry: Risky Drinking
Historical Overview
The Intersection of Social Media Analytics and Learning Analytics
Health and Human Services Context
Case Study Healthcare Industry: Risky Drinking
Introduction of the Case Organisation
Overview of the Project
The Scoping Literature Review
Literature Search and Article Review
Themes
Literature Review Concluding Comments
Population Surveys
Data Collection
Online Surveys
Data Analysis
Survey Findings
General Population Survey
Worker Survey
Search Terms
Talkwalker Implementation
The Initial Topic Query
Data Cleaning
Final Topic Query
Social Media Analytics
Conclusion, Limitations and Directions for Future Research
Double Meanings in the English Language
Tweeting Style
Sentiment
Project Recommendations
Summary
References
The Adoption of the Rasch Measurement Approach as a Learning Analytics Tool in Higher Education
Introduction
Learning Analytics
Research Methodology
Results
Contextualised Analytics
Personalised Learning Analytics
Assessment Analytics
Conclusion
References
Rasch Model Case Study: Investigating Cognitive Performances of School Children\'s Museum Learning Experiences
Introduction
Study Background
Cognitive Styles
Wholist-Analytic Dimension
Verbal-Imagery Dimension
Individual Cognitive Preferences Construct
Multimedia Learning
Museum Exhibit Representations
Research Implementation
Rasch Analysis as the Analytic Learning Tool
Data Analysis
Variable Map
Fit Map
Item Estimates (Thresholds) and Case Estimates
Item Analysis Result
Results and Findings
The Overall Performances According to Treatment Group
Single Cognitive Style Dimension (SCSD) Performances
Combine Cognitive Style Dimension (CCSD) Performances
The Interactive Effects
Conclusion
References
Exploring a Framework for Constructivist Design with the eLearning Space
eLearning Definition: Purposed for this Chapter
Constructivist Instructional Design
Knowledge Construction and Online Learning Design
Justification for the Study
Aim of the Study
Methodology: Exploratory Sequential Design
Limitations of the Study
Overview of the Framework
Learning Design Element 1: Social Learning Presence
Learning Design Element 2: Social Learning Interaction
Learning Design Element 3: Knowledge-Sharing Space
Learning Design Element 4: Meta-Cognitive Load
Learning Design Element 5: Knowledge Co-construction
Proposed Framework for Construction of Knowledge Within eLearning
Main Contribution of the Study
References
Industry 4.0: Learning Analytics Using Artificial Intelligence and Advanced Industry Applications
Introduction
Industry 4.0
Artificial Intelligence
Education 4.0
Learning Analytics
SWOT Analysis of Industry 4.0 and the Impact on Learning Analytics
Conclusion
References
Machine Learning for Learning Analytics for Meta-cognitive Support
Introduction
Learning Analytics Stands on the Shoulders of Big Data, Deep and Machine Learning
Learning Analytics: Evolutionary Step Forward?
Impact and Privacy of Learning Analytics
Learning Analytics for Personalizing Education
Ingredients for Learning Analytics
Learning Paradigms
Learning Analytics; Analogy to Medical Optimization
Meta-cognitive Representations for Learning Analytics
Recursive Analytics: Coping with NP Completeness
Mapping for Meta-cognitive Imagination
Toward Didactic Topologies for Analytics
References