British Journal of Educational Technology (BJET)

 Vol. 50, n°6, 11/2019

Learning Analytics and AI: Politics, Pedagogy and Practices

 

• Learning analytics and AI: Politics, pedagogy and practices, Simon J. Buckingham Shum, Rosemary Luckin
• Policy networks, performance metrics and platform markets: Charting the expanding data infrastructure of higher education, Ben Williamson
• A social cartography of analytics in education as performative politics, Paul Prinsloo
• Designing educational technologies in the age of AI: A learning sciences‐driven approach, Rosemary Luckin, Mutlu Cukurova
• Complexity leadership in learning analytics: Drivers, challenges and opportunities, Yi‐Shan Tsai, Oleksandra Poquet, Dragan Gašević, Shane Dawson, Abelardo Pardo
• Practical ethics for building learning analytics, Kirsty Kitto, Simon Knight
• From data to personal user models for life‐long, life‐wide learners, Judy Kay, Bob Kummerfeld
• Supporting and challenging learners through pedagogical agents: Addressing ethical issues through designing for values, Deborah Richards, Virginia Dignum
• Escape from the Skinner Box: The case for contemporary intelligent learning environments, Benedict du Boulay
• Intelligent analysis and data visualisation for teacher assistance tools: The case of exploratory learning, Manolis Mavrikis, Eirini Geraniou, Sergio Gutierrez Santos, Alexandra Poulovassilis
• Explanatory learner models: Why machine learning (alone) is not the answer, Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger
• The heart of educational data infrastructures = Conscious humanity and scientific responsibility, not infinite data and limitless experimentation, Petr Johanes, Candace Thille
• Special Section: Human Learning and Learning Analytics in the Age of Artificial Intelligence,  Guest Editor: Andreja Istenič Starčič
• Human learning and learning analytics in the age of artificial intelligence, Andreja Istenič Starčič
• A digital game‐based assessment of middle‐school and college students’ choices to seek critical feedback and to revise, Maria Cutumisu, Doris B. Chin, Daniel L. Schwartz
• Building pipelines for educational data using AI and multimodal analytics: A “grey‐box” approach, Kshitij Sharma, Zacharoula Papamitsiou, Michail Giannakos
• Artificial intelligence and multimodal data in the service of human decision‐making: A case study in debate tutoring, Mutlu Cukurova, Carmel Kent, Rosemary Luckin

https://onlinelibrary.wiley.com/toc/14678535/2019/50/6?campaign=woletoc