AI/ML in Education: Trends and Applications

Dear Colleagues,

Teaching and learning has become regenerative to foster technological challenges, post-pandemic facilitation and empower sustainable development. Artificial intelligence and machine learning offer significant advantages over traditional teaching and learning delivery for immersive, engaging and scaffolding primary, secondary and/or higher education. Therefore, in this Special Issue, we aim to collect recent insights, challenges and approaches on AI and ML technologies used to support teaching, learning, and assessment towards a fusion of smarter future education awareness for everyone

Submissions to this Special Issue should indicate how the implementation of AI and ML expands curriculum/subject areas, behavioural change, metacognition, learner assessment and practice, and learner-instructor interaction in ways that traditional teaching and learning applications cannot. Moreover, papers discussing the key challenges of user experience design implemented within AI and ML applications in education, will be appreciated. Prospective topics include but are not limited to the following:

· Augmented/virtual reality in education;

· Explainable and interpretable AI in education;

· Learning games in education;

· Gamification in education;

· Agents and multi-agent systems in education;

· Mobile learning in education;

· Virtual learning environments in education;

· Personalization in education;

· Metacognition in education;

· Learner motivation and engagement in education;

· Learner performance/assessment in education;

· Computer human interaction in education;

· Learning styles in education;

· Curriculum co-design;

· MOOCs;

Guest Editor,

Dr. Eleni G. Makri