IC Colloquium: Learning analytics as the regulation of educational processes
Event details
| Date | 19.09.2019 |
| Hour | 09:15 › 10:00 |
| Location | |
| Category | Conferences - Seminars |
By: Patrick Jermann - EPFL
Digital Vocational Education & Training candidate
Abstract:
Everyone is excited by the large amounts of educational data that are created through massive online courses, or the detailed behavioural traces made available by technologies like eye-trackers. The excitement comes from the idea that we could use data science techniques to filter the data, detect patterns, diagnose learners and finally optimise education. In this talk I describe learning analytics following a model inspired by control theory and distributed cognition. Following control theory, educational processes could be improved by collecting data about the current state of the situation and triggering actions when needed to influence the process. Following distributed cognition, humans and computers complement each other in monitoring and controlling the process. In addition to data science, research in human computer interaction and field studies are necessary to design tools that help learners, teachers or managers take better educational decisions. I finally propose a research agenda based on this approach to facilitate the digital transformation of the Swiss vocational education system.
Bio:
Patrick Jermann received a PhD degree in psychology in 2004 from the University of Geneva. He started his career in the TECFA team (University of Geneva) designing and studying online environments featuring innovative collaboration scripts. From 2000 to 2003 he was a visiting researcher at the University of Pittsburgh in the Learning Research and Development Center (LRDC). From 2003 to 2013, he was a researcher and a lecturer of computer science in the CRAFT team at the Ecole Polytechnique Fédérale de Lausanne. His research about the regulation of collaborative activity involved tangible interfaces, augmented reality and dual eye tracking. Since 2013 he is the executive director of the Center for Digital Education, where he built the team that created 120 MOOCs and attracted more than 2 million learners worldwide. His current projects include the Swiss MOOC Service, a national MOOC platform for Swiss universities; the EPFL Learning Companion, an online tool for students to assess their learning skills; a centralised Jupyter Notebooks facility for education and Campus Analytics, an initiative to mine institutional data to provide recommendations to students, teachers and educational managers.
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Digital Vocational Education & Training candidate
Abstract:
Everyone is excited by the large amounts of educational data that are created through massive online courses, or the detailed behavioural traces made available by technologies like eye-trackers. The excitement comes from the idea that we could use data science techniques to filter the data, detect patterns, diagnose learners and finally optimise education. In this talk I describe learning analytics following a model inspired by control theory and distributed cognition. Following control theory, educational processes could be improved by collecting data about the current state of the situation and triggering actions when needed to influence the process. Following distributed cognition, humans and computers complement each other in monitoring and controlling the process. In addition to data science, research in human computer interaction and field studies are necessary to design tools that help learners, teachers or managers take better educational decisions. I finally propose a research agenda based on this approach to facilitate the digital transformation of the Swiss vocational education system.
Bio:
Patrick Jermann received a PhD degree in psychology in 2004 from the University of Geneva. He started his career in the TECFA team (University of Geneva) designing and studying online environments featuring innovative collaboration scripts. From 2000 to 2003 he was a visiting researcher at the University of Pittsburgh in the Learning Research and Development Center (LRDC). From 2003 to 2013, he was a researcher and a lecturer of computer science in the CRAFT team at the Ecole Polytechnique Fédérale de Lausanne. His research about the regulation of collaborative activity involved tangible interfaces, augmented reality and dual eye tracking. Since 2013 he is the executive director of the Center for Digital Education, where he built the team that created 120 MOOCs and attracted more than 2 million learners worldwide. His current projects include the Swiss MOOC Service, a national MOOC platform for Swiss universities; the EPFL Learning Companion, an online tool for students to assess their learning skills; a centralised Jupyter Notebooks facility for education and Campus Analytics, an initiative to mine institutional data to provide recommendations to students, teachers and educational managers.
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Practical information
- General public
- Free
- This event is internal
Contact
- Host: Pierre Dillenbourg