Learning and Knowledge Analytics in Open Education - Selected Readings from the AECT-LKAOE 2015 Summer International Research Symposium

Learning and Knowledge Analytics in Open Education - Selected Readings from the AECT-LKAOE 2015 Summer International Research Symposium

von: Feng-Qi Lai, James D. Lehman

Springer-Verlag, 2016

ISBN: 9783319389561

Sprache: Englisch

244 Seiten, Download: 6488 KB

 
Format:  PDF, auch als Online-Lesen

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Learning and Knowledge Analytics in Open Education - Selected Readings from the AECT-LKAOE 2015 Summer International Research Symposium



  Foreword 5  
  Preface 8  
  Contents 11  
  Editors and Contributors 13  
  1 Learning Is a Journey, not a Destination 23  
     Abstract 23  
     1.1 What Is Teaching? 24  
     1.2 Getting from Point A to Point B 25  
     1.3 Knowing the Learner, Knowing the Lesson 27  
     1.4 Aligning Evaluation 29  
     1.5 What Is “Normal”? 30  
     1.6 Conclusion 32  
     References 32  
  2 The Impact of Instructional Design: Questions of Conscience 34  
     Abstract 34  
     2.1 Introduction 34  
     2.2 Discussion 36  
     2.3 Conclusion 39  
     References 40  
  3 Using Data Analytics to Drive Performance and Instructional Decision-Making 42  
     Abstract 42  
     3.1 Introduction 42  
     3.2 Optimization Through Assessment 43  
     3.3 Global Positioning 43  
     3.4 GPS and Learning 45  
     3.5 Impactful Technology 45  
     3.6 Strategy and Focus 47  
     3.7 Strategy for Using Data Analytics to Create Meaningful Assessments to Drive Performance and Enhance Instructional Decision-Making 47  
     3.8 Measure Performance 48  
        3.8.1 Step 1: Identify Representative Tasks 48  
     3.9 Identify Expert Performers 48  
        3.9.1 Step 2: Select Expert and Nonexpert Performers 48  
     3.10 Identify Mediating Mechanisms 49  
        3.10.1 Step 3: Analyze Performance to Understand Mechanisms that Allow Individuals to Excel 49  
     3.11 Facilitate Acquisition of Mediating Mechanisms 50  
        3.11.1 Step 4: Use Information to Drive Future Training and Performance Improvement Strategies 50  
     3.12 Broad Impact on Learning 50  
     References 51  
  4 Learning Analytics: Serving the Learning Process Design and Optimization 52  
     Abstract 52  
     4.1 Introduction 52  
     4.2 Process Model of Learning Analytics 53  
     4.3 Multisource Data Collection and Storage 55  
     4.4 Typical Approaches of Data Analysis and Visualization 56  
     4.5 Optimizing Learning and Teaching 58  
     4.6 Conclusion 59  
     References 60  
  5 Design of Online Student Orientation with Conceptual and Procedural Scaffolding 62  
     Abstract 62  
     5.1 Introduction 63  
     5.2 Project Overview 63  
     5.3 Literature Review 65  
        5.3.1 Student Orientation for Online Learning 65  
        5.3.2 Scaffolding in Open-Ended Online Learning Environments 66  
     5.4 Design Framework and Research Method 67  
     5.5 Analysis for Design 68  
        5.5.1 Analysis of Student and Instructor Needs 68  
        5.5.2 Analysis of Learning Context 70  
        5.5.3 Analysis of Learning Tasks 71  
     5.6 Strategies in Development 72  
     5.7 Formative Evaluation 75  
        5.7.1 Usability Testing 76  
        5.7.2 Student Performance and Participation 76  
        5.7.3 Knowledge of Online Learning Strategies 77  
        5.7.4 Perceived Usefulness 79  
        5.7.5 Technology Competency and Awareness of Tech Support Information 80  
     5.8 Conclusion and Discussion 82  
     Acknowledgments 83  
     Appendix A—Time Management Worksheet 83  
     Appendix B—End-of-Orientation Questionnaire (EOQ) 84  
     Appendix C—EOQ Items Mapping with Orientation Objectives 86  
     References 87  
  6 Improving Learning in MOOCs Through Peer Feedback: How Is Learning Improved by Providing and Receiving Feedback? 90  
     Abstract 90  
     6.1 Introduction 91  
     6.2 Collaborative Inquiry in MOOCs, Peer Assessment, and Learning 92  
     6.3 Methods 94  
        6.3.1 Data Sources 94  
        6.3.2 Data Analysis 94  
           6.3.2.1 For the Analysis of Student Essays 94  
        6.3.3 For Analysis of Student Perceptions of Peer Assessment 96  
        6.3.4 For Analysis of Students’ Community Knowledge 96  
     6.4 Results and Findings 98  
        6.4.1 The Effects of Providing Grading/Feedback on the Quality of Writing 98  
        6.4.2 The Effects of Receiving Feedback on the Quality of Writing 99  
        6.4.3 Community Knowledge 100  
     6.5 Discussion and Implications 102  
     Appendix 103  
        Information Accumulation Discussion Thread 103  
        Explanation Thread 105  
        Knowledge Building Discussion Thread 106  
     References 108  
  7 Emerging Technology: Instructional Strategies for Nailing Jell-O to a Tree 109  
     Abstract 109  
     7.1 Aiming at a Moving Target 109  
        7.1.1 Emerging Technologies 110  
     7.2 Instructional Strategies 112  
        7.2.1 Motivation 112  
        7.2.2 Merrill’s First Principle of Instruction 113  
     7.3 Task-Centered Principle 114  
     7.4 Activation Principle 114  
     7.5 Demonstration Principle 115  
     7.6 Application Principle 115  
     7.7 Integration Principle 116  
     7.8 Conclusions 116  
     References 117  
  8 Utopian and Dystopian Futures for Learning Technologies 118  
     Abstract 118  
     8.1 Introduction 118  
     8.2 Utopia and Dystopia Defined 118  
     8.3 The Future of Learning Technologies: A Utopian Model 119  
     8.4 The Future of Learning Technologies: A Brief Dystopian View 124  
     References 125  
  9 Open Educational Resources (OER)-Based Flipped Classroom Practice in an Undergraduate Course 127  
     Abstract 127  
     9.1 Introduction 128  
     9.2 Purpose and Objectives of the Study 130  
     9.3 Description of Instructional Approaches 130  
        9.3.1 Course Format and Organization 130  
        9.3.2 Course Evaluation Design 131  
     9.4 Methods 132  
        9.4.1 Participants 132  
        9.4.2 Data Collection Instrument 132  
        9.4.3 Data Collection and Analysis 134  
     9.5 Findings 134  
        9.5.1 Objective 1: Describe Participating Students’ Perceptions About OER and MOOCs Before the Course 134  
        9.5.2 Objective 2: Describe Participating Students’ Learning Process in OER-Based Flipped Course Through Three Aspects: Self-reported Degree of Familiarity with Course Contents Over Weeks, Self-reported Changes in General Feelings Over Weeks and Their Course Journals 134  
        9.5.3 Objective 3: Examine Students’ General e-Learning Satisfaction After the Course 138  
     9.6 Conclusions and Suggestions 139  
     Acknowledgments 140  
     References 140  
  10 Tracking Students’ Activities in Serious Games 142  
     Abstract 142  
     10.1 Introduction and Related Literature 143  
     10.2 Research Questions and Context 144  
     10.3 Method 145  
        10.3.1 Participants 145  
        10.3.2 Data Sources 145  
           10.3.2.1 Log Files 145  
           10.3.2.2 Performance Score 146  
     10.4 Analyses and Findings 146  
        10.4.1 Correlations of Tracking Variables with Students’ Performance 146  
        10.4.2 Learning Path 147  
     10.5 Discussion and Conclusion 151  
     10.6 Limitations and Future Directions 152  
     Acknowledgments 153  
     References 153  
  11 Eight Trends Affecting the Field of Instructional Design and Technology: Opportunities and Challenges 155  
     Abstract 155  
     11.1 Introduction: A Clarification of Terms 155  
     11.2 Trend #1: Performance Improvement 156  
     11.3 Trend #2: Performance Support 157  
     11.4 Trend #3: Online Learning 158  
     11.5 Trend #4: Social Media 158  
     11.6 Trend #5: Educational Games 159  
     11.7 Trend #6: Mobile Learning 160  
     11.8 Trend #7: Massive Open Online Courses 161  
     11.9 Trend #8: Learning Analytics 161  
     11.10 Conclusion: The Expanding Toolbox 162  
     Acknowledgments 162  
     References 163  
  12 Social Media: An Integration Guideline for Teaching and Learning in Higher Education 164  
     Abstract 164  
     12.1 Introduction 165  
     12.2 Method 166  
        12.2.1 Overview of Research Design 166  
        12.2.2 Participants 166  
        12.2.3 Data Collection and Analysis 166  
     12.3 Results 167  
        12.3.1 Demographic Characteristics of Participants 167  
        12.3.2 External and Internal Barriers 169  
        12.3.3 Guidelines for Social Media Integration 171  
        12.3.4 Curating Content 174  
        12.3.5 Copyright 175  
        12.3.6 Intellectual Property 176  
        12.3.7 Violations of Academic Integrity 176  
        12.3.8 Protecting Student Privacy 177  
        12.3.9 Antiharassment 177  
     12.4 Discussions 178  
        12.4.1 Technology Barriers 179  
           12.4.1.1 Wireless Access and Reliability 179  
           12.4.1.2 Tool Access, Reliability and Complexity 179  
        12.4.2 Process Barriers 179  
           12.4.2.1 Support 179  
           12.4.2.2 Professional Development 180  
        12.4.3 Administrative Barriers 180  
           12.4.3.1 Compensation and Time Requirements 180  
        12.4.4 Environmental Barriers 181  
           12.4.4.1 Legal Issues 181  
           12.4.4.2 Technology Effectiveness 181  
     12.5 Conclusion 182  
     References 183  
  13 An Instructional Design Model for Information Science 185  
     Abstract 185  
     13.1 Introduction 186  
     13.2 Instructional Design 186  
     13.3 Instructional Design Models 188  
     13.4 Information Science 189  
     13.5 An Instructional Design Model for Information Science 190  
     13.6 Conclusion 191  
     References 191  
  14 If Content Is King then e3 Instruction Is Queen 193  
     Abstract 193  
     14.1 Motivation 194  
     14.2 Typical Instructional Sequence 195  
     14.3 Instructional Events 196  
     14.4 TELL-ASK Example 196  
     14.5 First Principles of Instruction 197  
     14.6 Support for First Principles of Instruction 198  
     14.7 Demonstration Principle 199  
     14.8 Application Principle 200  
     14.9 Learning Events 200  
     14.10 Example Tell-Show-Do Instruction 201  
     14.11 How to Revise Existing Instruction 201  
     14.12 The Context Problem 202  
     14.13 Problem-Centered 203  
     14.14 Problem-Centered Example 204  
     14.15 Recommendation 205  
     14.16 Conclusion 205  
     References 205  
  15 Academic Writing, Publishing, and Presentations in Educational Technology 207  
     Abstract 207  
     15.1 Assumptions and Implications 208  
     15.2 Organization 208  
     15.3 Educational Research 209  
     15.4 Presentation Guidelines 211  
     15.5 Writing Guidelines 211  
     15.6 Developing a Research Agenda 212  
     15.7 Types of Research Questions and Associated Methods 214  
     15.8 Presenting—Where to Present and Why 215  
     15.9 Publishing 215  
     15.10 Resources 217  
     References 218  
  16 Chinese Scholars’ Perspectives Regarding Educational Technology 219  
     Abstract 219  
     16.1 Introduction 219  
     16.2 Methodology 221  
        16.2.1 Design and Sample 221  
        16.2.2 The Survey Instrument 224  
     16.3 Findings and Analysis 224  
        16.3.1 Procedure of Data Analysis 224  
        16.3.2 Findings 225  
           16.3.2.1 Understanding of the Educational Technology Field 225  
           16.3.2.2 Understanding of the Major Areas in the Educational Technology Field 226  
           16.3.2.3 Where Most Knowledge in Educational Technology Was Obtained 227  
           16.3.2.4 Textbooks Used in the School 227  
           16.3.2.5 Research Interest in Educational Technology 228  
           16.3.2.6 Research Areas in Which Studies Were Conducted 229  
        16.3.3 Papers Published 230  
           16.3.3.1 Perspectives 230  
           16.3.3.2 Ideas, Perceptions, and Perspectives 233  
     16.4 Discussion and Conclusion 234  
     Acknowledgments 236  
     References 236  
  17 Epilogue 237  
     17.1 The Importance of Instructional Events 238  
     17.2 Aligning Goals, Instruction, and Assessment 239  
     17.3 The Growing Interest in Learning Analytics 240  
     17.4 The Importance of Clear Written Communication 241  
     17.5 Conclusion 241  
     References 242  
  Index 243  

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