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
Mehr zum Inhalt
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 |