SCIoI Alumni

Johann Chevalère

Postdoctoral Researcher

Psychology

U Potsdam

   

Photo: SCIoI

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Johann Chevalère

Johann Chevalère

Photo: SCIoI

Johann Chevalère is a psychologist focusing on cognitive and emotional processing in normal and pathological populations. After a PhD focusing on executive functions in intellectual disabilities at the University of Bordeaux (France), he has been a teaching assistant and spent a year at the University of Fribourg (Switzerland) investigating working memory strategies. More recently, his research has embraced a socio-cognitive approach to study the effectiveness of computer-assisted instruction at Clermont-Auvergne University (France). At ScIoI, his work was devoted to the development of a cognitively and emotionally adaptive intelligent tutoring system (Research Unit 1, SCIoI Project 06). The objective of the project was to help optimize learning situations by providing students with relevant pedagogical strategies tailored to their emotional states and learning performances.


Projects

Johann Chevalère is member of:


6984777 Chevalère 1 apa 50 date desc year 19825 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Ackermann, H., Henke, A., Chevalère, J., Yun, H. S., Hafner, V. V., Pinkwart, N., & Lazarides, R. (2025). Physical embodiment and anthropomorphism of AI tutors and their role in student enjoyment and performance. Npj Science of Learning, 10(1), 1. https://doi.org/10.1038/s41539-024-00293-z
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Chevalère, J., Kirtay, M., Hafner, V. V., & Lazarides, R. (2023). Who to Observe and Imitate in Humans and Robots: The Importance of Motivational Factors. International Journal of Social Robotics, 15(8), 1265–1275. https://doi.org/10.1007/s12369-022-00923-9
Chevalère, J., Lazarides, R., Yun, H. S., Henke, A., Lazarides, C., Pinkwart, N., & Hafner, V. V. (2023). Do instructional strategies considering activity emotions reduce students’ boredom in a computerized open-ended learning environment? Computers & Education, 196, 104741. https://doi.org/10.1016/j.compedu.2023.104741
Yun, H. S., Hübert, H., Chevalère, J., Pinkwart, N., Hafner, V. V., & Lazarides, R. (2023). Analyzing Learners’ Emotion from an HRI Experiment Using Facial Expression Recognition Systems. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies (pp. 396–407). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34550-0_29
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