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Rogers Kaliisa; Ryan Shaun Baker; Barbara Wasson; Paul Prinsloo – Journal of Learning Analytics, 2025
This article investigates the state of AI regulations from diverse geopolitical contexts including the European Union, the United States, China, and several African nations, and their implications for learning analytics (LA) and AI research. We used a comparative analysis approach of 11 AI regulatory documents and applied the OECD framework to…
Descriptors: Artificial Intelligence, Learning Analytics, Foreign Countries, Federal Regulation
Kamila Misiejuk; Sonsoles López-Pernas; Rogers Kaliisa; Mohammed Saqr – Journal of Learning Analytics, 2025
Generative artificial intelligence (GenAI) has opened new possibilities for designing learning analytics (LA) tools, gaining new insights about student learning processes and their environment, and supporting teachers in assessing and monitoring students. This systematic literature review maps the empirical research of 41 papers utilizing GenAI…
Descriptors: Literature Reviews, Artificial Intelligence, Learning Analytics, Data Collection
Rachelle Esterhazy; Rogers Kaliisa; Daniel Sanchez; Malcolm Langford; Crina Damsa – Journal of Learning Analytics, 2025
The advent of advanced technology has opened new horizons for studying collaborative learning, although ambiguity remains in the classification and rationale for combining modalities in multimodal collaboration analytics (MMCA). Addressing this gap is crucial for the progression of collaborative learning practices and research. This review…
Descriptors: Learning Analytics, Cooperative Learning, Learning Processes, Learning Modalities

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