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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Mirza Shahzan Asagar – Online Submission, 2025
Digital technology has significantly transformed education, requiring teacher educators to develop robust digital competencies to navigate 21st-century classrooms. Digital competence, defined by the European Commission's DigComp framework, includes information and data literacy, communication and collaboration, digital content creation, safety,…
Descriptors: Teacher Competencies, Technological Literacy, Barriers, Educational Policy