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Developing Effective Educational Experiences through Learning Analytics

Book Description

The quality of students’ learning experiences is a critical concern for all higher education institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Developing Effective Educational Experiences through Learning Analytics is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning. Highlighting the relevance of data analytics to current educational practices, this book is ideally designed for researchers, practitioners, and professionals actively involved in higher education settings.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. List of Reviewers
  6. Preface
    1. REFERENCES
  7. Chapter 1: A Language and a Space
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MOTIVATION AND REFLECTION
    5. FOCUS AND ATTENTION
    6. SEMANTIC AND DISCOURSE ANALYSES
    7. SOCIAL LEARNING ANALYTICS (SLA)
    8. SENSEMAKING AND EVALUATION
    9. CONCLUSION AND FUTURE WORK
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  8. Chapter 2: Advances in Algorithms for Re-Sampling Class-Imbalanced Educational Data Sets
    1. ABSTRACT
    2. INTRODUCTION
    3. TECHNIQUES FOR DEALING WITH IMBALANCED DATA
    4. OVER-SAMPLING USING PROPENSITY SCORES (OUPS)
    5. SAFE LEVEL OUPS
    6. EXPERIMENTAL DESCRIPTION
    7. RESULTS
    8. CONCLUSION
    9. REFERENCES
  9. Chapter 3: An Institution Wide Approach to Learning Analytics
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. SETTING THE SCENE
    5. CASE STUDY PART 1: AN INSTITUTION WIDE STRATEGY
    6. CASE STUDY PART 2: STUDENTS – HEARING THE STUDENT VOICE THROUGH UOW SURVEY
    7. CASE STUDY PART 3: TECHNOLOGY – DATA WAREHOUSE TECHNOLOGY
    8. CASE STUDY PART 4: ACADEMICS – INVOLVING THE ACADEMIC COMMUNITY
    9. CASE STUDY PART 5: GOVERNANCE – IMPLEMENTING GOVERNANCE STRUCTURES
    10. SOLUTIONS AND RECOMMENDATIONS
    11. FUTURE RESEARCH DIRECTIONS
    12. CONCLUSION
    13. REFERENCES
    14. KEY TERMS AND DEFINITIONS
  10. Chapter 4: Developing a Framework for the Effective Use of Learning Analytics
    1. ABSTRACT
    2. INTRODUCTION
    3. TEACHING PROGRAMMING TO UNDERGRADUATE STUDENTS
    4. TEACHING NOVICE PROGRAMMERS
    5. LEARNING ANALYTICS
    6. USING VIDEO AS A DATA SOURCE
    7. CODING AND GESTURE RECOGNITION
    8. ANALYSING THE DATA
    9. THE COURSEWORK CONTEXT
    10. PRE-COURSE EXPERIENCE
    11. INTERPRETATION / SUMMARY
    12. IN-COURSE EXPERIENCE
    13. PROGRAMMING ACTIVITY
    14. VIDEO ANALYSIS: PRELIMINARY FINDINGS
    15. VIDEO ANALYSIS: INCLUSIVE
    16. IN-COURSE INTERPRETATION / SUMMARY
    17. POST-COURSE EXPERIENCE
    18. STUDENT EVALUATIONS
    19. POST-COURSE INTERPRETATION / SUMMARY
    20. SUMMARY
    21. REFERENCES
  11. Chapter 5: Developing a Framework for the Visualisation of Learning Analytics in UK Higher Education
    1. ABSTRACT
    2. INTRODUCTION
    3. CURRENT ENVIRONMENT
    4. DESIGN AND DEVELOPMENT
    5. IMPLEMENTATION
    6. CONCLUSION
    7. FURTHER WORK
    8. CRITICAL EVALUATION
    9. REFERENCES
  12. Chapter 6: Effective Learning Strategies for the 21st Century
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. VALIDITY AND RELIABILITY ANALYSES OF A REVISED MSLQ
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
    9. APPENDIX 1
    10. APPENDIX 2
  13. Chapter 7: Here Be Dragons
    1. ABSTRACT
    2. INTRODUCTION
    3. ENGAGING WITH DATA AS CONSTRUCT
    4. DATA, BLACK BOXES AND ALGORITHMS
    5. ENGAGING WITH STUDENT DATA AS CONSTRUCT
    6. STUDENT DATA AND STUDENT RESPONSIBILITY
    7. STUDENT-CENTRED LEARNING ANALYTICS
    8. STUDENT DATA, AGENCY AND PRIVACY SELF-MANAGEMENT
    9. A CASE STUDY OF OPEN UNIVERSITY POLICY
    10. GENERAL PRINCIPLES FOR A NEW DEAL ON STUDENT DATA IN LEARNING ANALYTICS
    11. CONCLUSION
    12. REFERENCES
    13. ENDNOTES
  14. Chapter 8: Outstanding Student Achievement
    1. ABSTRACT
    2. INTRODUCTION
    3. ACADEMIC CONTEXT
    4. ACADEMIC AS “DOMAIN” EXPERT
    5. LEARNING ANALYTICS OF DIDACTIC TEACHING
    6. ACADEMIC AS “LEARNING-TO-LEARN” EXPERT
    7. LEARNING ANALYTICS RELATING TO SOCRATIC TEACHING
    8. CRITICAL APPLICATION OF LEARNING ANALYTICS RESULTS
    9. CRITICAL EVALUATION OF LEARNING ANALYTICS IMPACT
    10. CONCLUSION
    11. REFERENCES
    12. ADDITIONAL READING
  15. Chapter 9: Personalising the Pathway
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. LITERATURE REVIEW
    5. EIBT AND LEARNING ANALYTICS: CHALLENGES AND OPPORTUNITIES
    6. LIMITATIONS AND FUTURE RECOMMENDATIONS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  16. Chapter 10: Post-Course Survey Development
    1. ABSTRACT
    2. INTRODUCTION
    3. TRAINING EVALUATION
    4. SURVEY DEVELOPMENT METHOD
    5. SUMMARY REPORTING
    6. CONCLUSION AND RECOMMENDATIONS
    7. REFERENCES
    8. KEY TERMS AND DEFINITIONS
    9. APPENDIX: POST-COURSE FEEDBACK SUMMARY REPORT
  17. Chapter 11: Role of Learning Analytics in Enhancing Teaching and Learning
    1. ABSTRACT
    2. INTRODUCTION
    3. LEARNING ANALYTICS: CONCEPT, TOOLS, AND TECHNIQUES
    4. APPLICATION AREAS OF LEARNING ANALYTICS
    5. CHALLENGES AND BARRIERS TO SUCCESSFUL APPLICATION OF LEARNING ANALYTICS
    6. PRACTICAL/MANAGERIAL IMPLICATIONS AND RECOMMENDATIONS
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
    9. REFERENCES
  18. Chapter 12: The Role of Learning Analytics in Global Higher Education
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. ROLE OF LEARNING ANALYTICS IN GLOBAL HIGHER EDUCATION
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  19. Compilation of References
  20. About the Contributors