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The Coming but Uneven Storm: How AI Regulation Will Impact AI and Learning Analytics Research in Different Countries
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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
The Right to Be Forgotten and Educational Data Mining: Challenges and Paths Forward
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Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
Trends of Learning Analytics in STE(A)M Education: A Review of Case Studies
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Li, Kam-Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2020
Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…
Descriptors: Learning Analytics, Art Education, STEM Education, Adoption (Ideas)
EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage
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Klose, Mark; Desai, Vasvi; Song, Yang; Gehringer, Edward – International Educational Data Mining Society, 2020
Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…
Descriptors: Privacy, Learning Analytics, Data Collection, Information Storage
A Formative, Inclusive, Whole-School Approach to the Assessment of Social and Emotional Education in the EU. Analytical Report
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Cefai, Carmel; Downes, Paul; Cavioni, Valeria – European Commission, 2021
This analytical report seeks to address the evident gap in the formative assessment of social and emotional education by providing a framework indicating how social and emotional education may be assessed through a whole-school approach, both at individual (learner) and contextual (classroom climate and whole school system) levels, accompanied by…
Descriptors: Foreign Countries, Educational Assessment, Formative Evaluation, Holistic Approach
Proceedings of the International Association for Development of the Information Society (IADIS) International Conference: e-Learning 2022, Part of the Multi Conference on Computer Science and Information Systems (MCCSIS 2022) (16th, Lisbon, Portugal, July 19-22, 2022)
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Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19