This book constitutes selected, revised and extended papers from the 13th International Conference on Computer Supported Education, CSEDU 2021, held as a virtual event in April 2021.
The 27 revised full papers were carefully reviewed and selected from 143 submissions. They were organized in topical sections as follows: artificial intelligence in education; information technologies supporting learning; learning/teaching methodologies and assessment; social context and learning environments; ubiquitous learning; current topics.
Who is Best Suited for the Job? Task Allocation Process between Teachers and Smart Machines based on Comparative Strengths.- Prediction of Students' Performance based on Their Learning Experiences and Assessments: Statistical and Neural Network Approaches.- The Time Travel Exploratory Games Approach: An Artificial Intelligence Perspective.- Guidelines for the Application of Data Mining to the Problem of School Dropout.- Existing Machine Learning Techniques for Knowledge Tracing: A Review using the PRISMA Guidelines.-
Information Technologies Supporting Learning.- Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain's Approach.- Developing an Interest in Mathematics with Occupational Exemplars.- Moroccan Higher Education at Confinement and Post Confinement Period: Review on the Experience.- Efficient and Accurate Closed-domain and Open domain Long-form Question Answering.- Creation of a Teacher Support System for Technology-enhanced Accelerated Learning of Math in Schools.- Investigating STEM Courses Performance in Brazilians Higher Education.- Towards the Use of lJ
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