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British Journal of Educational Technology (BJET)


Référence :  Vol. 50, n°6, novembre 2019

Thème :  earning 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


Informations complémentaires :
  https://onlinelibrary.wiley.com/.../6?campaign=woletoc


catégorie(s) :  contenu de l'éducation