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Learning technologies for transforming large-scale teaching, learning, and assessment / Demetrios Sampson, J. Michael Spector, Dirk Ifenthaler, Pedro Isaías, Stylianos Sergis, editors.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Educational technology.
- Physical Description:
- 1 online resource
- polychrome
- Place of Publication:
- Cham, Switzerland : Springer, [2019]
- System Details:
- text file
- Contents:
- Intro; Foreword; Preface; Contents; Part I: Teaching, Learning and Assessment at Large-Scale: Trends and Challenges; Chapter 1: Releasing Personal Information Within Learning Analytics Systems; 1 Introduction; 2 Theoretical Framework; 2.1 Privacy in the Digital Age; 2.2 Learning Data and Privacy Issues; 2.3 Purpose of the Study; 3 Method; 3.1 Participants and Design; 3.2 Instruments and Materials; 3.2.1 Study Interest Questionnaire; 3.2.2 Control Over Data Scale; 3.2.3 Sharing of Data Questionnaire; 3.2.4 Demographic Information; 3.2.5 Learning Analytics System Comparison
- 3.3 Procedure and Analysis4 Results; 4.1 Using Data for Learning Analytics Systems; 4.2 Disclosing Personal Information, Study-Related Constructs, and Benefits of LA Systems; 5 Discussion; 5.1 Implications; 5.2 Limitations and Outlook; References; Chapter 2: Measurement Challenges of Interactive Educational Assessment; 1 Introduction; 2 Background; 3 Four Psychometric Challenges; 3.1 Time Sensitivity; 3.2 Digital Performance Space Relationships; 3.3 Layers of Aggregations and Translations; 3.4 Representations of Dynamics; 4 Case Story: Virtual Performance Assessment
- 5 Conclusion and ImplicationsReferences; Chapter 3: Integrated e-Learning Paradigm in the Twenty-First Century: Management Education; 1 Introduction; 2 New Paradigm in Twenty-First Century e-Learning; 2.1 Collaborative Learning; 2.2 Experiential Learning; 2.3 Multimedia Learning; 2.4 Active Learning Cycle; 3 Integrated e-Learning Environment in the Twenty-First Century; 4 Conclusion; References; Part II: Analytics for Improving Learning Experiences; Chapter 4: Building a Learning Experience: What Do Learners' Online Interaction Data Imply?; 1 Introduction; 1.1 Online Learning Experience
- 1.2 Interaction in Online Learning2 Method; 2.1 Participants; 2.2 Context; 2.3 Data Sources; 2.4 Data Analysis; 3 Results; 3.1 The Nature of Learners' Interactions in an e-Learning Environment; 3.2 The Relationship Between Interaction Types; 3.3 Would Interaction Pattern of Learners Yield a Meaningful Learning Experience as a Structure?; 4 Discussion and Conclusion; 5 Limitations and Future Studies; References; Chapter 5: Evaluating the Usefulness of the Visualization Tool SimReal+ for Learning Mathematics: A Case Study at the Undergraduate Level; 1 Introduction
- 2 Visualizations in Mathematics Education2.1 The Notion of Visualization; 2.2 The Visualization Tool SimReal+; 3 Theoretical Framework; 3.1 Instrumental Approach; 3.2 The Notion of Usefulness; 3.3 Evaluation Criteria; 3.3.1 Technical Usefulness Criteria; 3.3.2 Pedagogical Usefulness Criteria; 3.3.3 Mathematical Usefulness Criteria; 4 Methodology; 4.1 The Setting of the Study; 4.2 Research Purpose and Questions; 4.3 Methods; 5 Results; 5.1 Technical Usefulness; 5.2 Pedagogical Usefulness; 5.3 Mathematical Usefulness; 5.4 Summary of Results; 6 Discussion; 6.1 Technical Usefulness
- Notes:
- Includes index.
- 6.2 Pedagogical Usefulness
- Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on July 12, 2019).
- Other Format:
- Print version: Sampson, Demetrios Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment
- ISBN:
- 9783030151300
- 3030151301
- Publisher Number:
- 99985145075
- Access Restriction:
- Restricted for use by site license.
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