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The UNESCO Chair on Data Science in Higher Education Learning and Teaching at Curtin University has been re-appointed for another four-year term. 👏 Since 2016, the UNESCO Chair has been leading global efforts to improve learning through datascience. Joining Professor David Gibson is Professor Dirk Ifenthaler as Co-Chair, reflecting Curtin’s ongoing commitment to advancing research and innovation in hashtag#education. Professor Gibson said he was honoured to be reappointed and looked forward to the opportunities ahead. “I am thrilled to continue leading this important work applying data science to reshape higher education, empower students and improve teaching practices on a global scale,” Professor…

An open-access article was published presenting a survey tool on AI competence for in-service and pre-service teachers. Delcker, J., Heil, J., & Ifenthaler, D. (2024). Evidence-based development of an instrument for the assessment of teachers’ self-perceptions of their artificial intelligence competence. Educational Technology Research and Development. https://doi.org/10.1007/s11423-024-10418-1 Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on…

A new monograph focussing on models for artificial intelligence promoting learning processes was published. Gibson, D. C., & Ifenthaler, D. (2024). Computational learning theories. Models for artificial intelligence promoting learning processes. Springer. https://doi.org/10.1007/978-3-031-65898-3 This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity, and multidisciplinary knowledge-building. It advances the learning sciences by integrating learning theory with computational biology and complexity. It offers an updated mechanism of learning that integrates previous theories, provides a basis for scaling from individuals to societies, and unifies models of psychology, sociology, and cultural studies. The book provides a road…

New open access article published based on a Delphi study focussing AI in education. Ifenthaler, D., Majumdar, R., Gorissen, P., Judge, M., Mishra, S., Raffaghelli, J., & Shimada, A. (2024). Artificial intelligence in education: implications for policymakers, researchers, and practitioners. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-024-09747-0  One trending theme within research on learning and teaching is an emphasis on artificial intelligence (AI). While AI offers opportunities in the educational arena, blindly replacing human involvement is not the answer. Instead, current research suggests that the key lies in harnessing the strengths of both humans and AI to create a more effective and beneficial learning…

New edited volume published focussing on the use of data analytics in assessment. Sahin, M., & Ifenthaler, D. (Eds.). (2024). Assessment analytics in education. Designs, methods and solutions. Springer. https://doi.org/10.1007/978-3-031-56365-2  This edited volume, “Assessment Analytics in Education – Designs, Methods, and Solutions,” presents a collection of contributions focusing on analytics-based indicators or measurements centering on learning processes and related behavior, (meta-)cognition, emotion, and motivation, as well as social processes. In addition, implications on design, analytics procedures, and related indicators are addressed. It features two major parts: Part I – Perspectives on Behavior, Engagement, and Interaction, and Part II – Perspectives on Analytics, Design, and Indicators.

This book integrates foundational ideas from psychology, immersive digital learning environments supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behavior and emotion factors in digital learning experiences. Kovanovic, V., Azevedo, R., Gibson, D. C., & Ifenthaler, D. (Eds.). (2023). Unobtrusive observations of learning in digital environments. Examining behavior, cognition, emotion, metacognition and social processes using learning analytics. Springer. https://doi.org/10.1007/978-3-031-30992-2.  New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into…