Formative Assessment, Learning Data Analytics and Gamification

<p>Part 1: Formative e-Assessment</p> <p>Chapter 1: Collaborative e-Assessment as a Strategy for Scaffolding Self-Regulated Learning in Higher Education</p> <p>Chapter 2: Towards an Adaptive e-Assessment System Based on Trustworthiness</p> <p>Chapter 3: e-Assessment for Skill Acquisition in Online Engineering Education: Challenges and Opportunities</p> <p>Chapter 4: Evaluation Model for e-Assessment</p> <p>Chapter 5: Confidence and Learning: Affective and Cognitive Aspects in Online Mathematics With Automatic Feedback</p> <p>Chapter 6: Teaching and Learning Methods at the Open University of Japan: Transition From the Broadcasting Model to a More Personalized Learning Model</p> <p>Part 2: Learning Analytics</p> <p>Chapter 7: An Assessment Analytics Framework (AAF) for Enhancing Students’ Progress</p> <p>Chapter 8: Automating Learner Feedback in an eTextbook for Data Structures and Algorithms Courses</p> <p>Chapter 9: Creating University Analytical Information Systems: A Grand Challenge for Information Systems Research</p> <p>Chapter 10: Methodology of Predictive Modeling of Students’ Behavior in Virtual Learning Environment</p> <p>Chapter 11: A Review of Emotion-Aware Systems for e-Learning in Virtual Environments</p> <p>Part 3: Gamification</p> <p>Chapter 12: LudifyME: An Adaptive Learning Model Based on Gamification</p> <p>Chapter 13: κPAX: Experiences on Designing a Gamified Platform for Serious Gaming</p> <p>Chapter 14: An Attrition Model for MOOCs: Evaluating the Learning Strategies of Gamification</p> <p>Chapter 15: Conversational Agents as Learning Facilitators: Experiences With a Mobile Multimodal Dialogue System Architecture</p>