Formative Assessment, Learning Data Analytics and Gamification: In ICT Education

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification.

This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Discusses application of automatic techniques for e-assessment of learning activitiesPresents strategies to provide immediate and useful feedback on students’ activitiesProvides methods to collect, analyze, and correctly visualize learning data in educational environmentsExplains the applications, benefits, and challenges of using gamification techniques in academic contextsOffers solutions to increase students’ participation and performance while lowering drop-out rates and retention levels

Part 1: Formative e-Assessment

Chapter 1: Collaborative e-Assessment as a Strategy for Scaffolding Self-Regulated Learning in Higher Education

Chapter 2: Towards an Adaptive e-Assessment System Based on Trustworthiness

Chapter 3: e-Assessment for Skill Acquisition in Online Engineering Education: Challenges and Opportunities

Chapter 4: Evaluation Model for e-Assessment

Chapter 5: Confidence and Learning: Affective and Cognitive Aspects in Online Mathematics With Automatic Feedback

Chapter 6: Teaching and Learning Methods at the Open University of Japan: Transition From the Broadcasting Model to a More Personalized Learning Model

Part 2: Learning Analytics

Chapter 7: An Assessment Analytics Framework (AAF) for Enhancing Students’ Progress

Chapter 8: Automating Learner Feedback in an eTextbook for Data Structures and Algorithms Courses

Chapter 9: Creating University Analytical Information Systems: A Grand Challenge for Information Systems Research

Chapter 10: Methodology of Predictive Modeling of Students’ Behavior in Virtual Learning Environment

Chapter 11: A Review of Emotion-Aware Systems for e-Learning in Virtual Environments

Part 3: Gamification

Chapter 12: LudifyME: An Adaptive Learning Model Based on Gamification

Chapter 13: κPAX: Experiences on Designing a Gamified Platform for Serious Gaming

Chapter 14: An Attrition Model for MOOCs: Evaluating the Learning Strategies of Gamification

Chapter 15: Conversational Agents as Learning Facilitators: Experiences With a Mobile Multimodal Dialogue System Architecture