Computer Supported Education

Strategies for the Utilization of Virtual Reality Technologies in the First Year of Architectural Education.- MOOCs, Learning Analytics and OER: An Impactful Trio for the Future of Education!.- Human Factors 4.0 for Engineering and Design Education.- The Effect of Online Discussions on Student's Cognitive and Metacognitive Development.- Practising Reading Fluency with Virtual Voice Assistants: Theoretical Perspectives and Experiences.- Participation in Asynchronous Online Forums for Prediction of Learning Performance.- The Code.org Platform in the Developing of Computational Thinking with Elementary School Students.- Improving Learner Experience, Motivation and Knowledge Gain When using Mulsemedia-based Technology Enhanced Learning.- Effects of Adaptive Educational Games on Adults' Computational Thinking.- Using Augmented Reality in an Inquiry-based Physics Laboratory Course.- Creative Learning inProblem Solving and Development of Computational Thinking.- Through the Lens of Different Stakeholders: Development and Application of a Change Management Guideline for Flipped ClassroomImplementations.- Successful Virtual Collaborative Learning: A Shift in Perspective.- TAEP4.0: Pathways to Education 4.0.- Lukewarm Starts for Computerized Adaptive Testing based on Clustering and IRT.- Technology Enhanced Assessment: Objective Structured Clinical Examination Supported by Simuportfolio.- Working on Interdisciplinary Projects to Strengthen Creative Computational Thinking and to Support Talent Development.- Automatic Formative Assessment Strategies for the Adaptive Teaching of Mathematics.- Improvements in bASES21 - 21st Century Skills Assessment Model to K12.- Modeling Learners in MOOC: A Systematic Review.- The Effect of Prior Knowledge on Persistence, Participation and Success in a Mathematical MOOC.- Systematic Literature Review of Fairness in Learning Analytics and Application of Insights in a Case Study.- Gaze-based Prediction of Students' Understanding of Physics Line-graphs: An Eye-tracking-data based Machine-learning Approach.- Recognition of Students' Multiple Mental States in Conversation based on Multimodal Cues.- Automatic Evaluation of Students' Learning Experience based on Their Freely-written Comments.