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 Project 06.

Chevalère, J., Lazarides, R., Yun, H. S., Henke, A., Lazarides, C., Pinkwart, N., & Hafner, V. (2023). Do instructional strategies considering activity emotions reduce students’ boredom in a computerized open-ended learning environment? Computers & Education, 196. https://doi.org/10.1016/j.compedu.2023.104741
Chevalère, J., Kirtay, M., Hafner, V., & Lazarides, R. (2022). Who to Observe and Imitate in Humans and Robots: The Importance of Motivational Factors. International Journal of Social Robotics. https://doi.org/10.1007/s12369-022-00923-9
Spatola, N., Chevalère, J., & Lazarides, R. (2021). Human vs computer: What effect does the source of information have on cognitive performance and achievement goal orientation? Paladyn, Journal of Behavioral Robotics, 12(1), 175–186. https://doi.org/10.1515/pjbr-2021-0012
Lazarides, R., & Chevalère, J. (2021). Artificial intelligence and education: Addressing the variability in learners’ emotion and motivation with adaptive teaching assistants. Bildung Und Erziehung, 74(3), 264–279. https://doi.org/10.13109/buer.2021.74.3.264
Yun, H. S., Chevalère, J., Karl, M., & Pinkwart, N. (2021). A comparative study on how social robots support learners’ motivation and learning. 14th Annual International Conference of Education, Research and Innovation, 2845–2850. https://doi.org/10.21125/iceri.2021.0708
Kirtay, M., Chevalère, J., Lazarides, R., & Hafner, V. V. (2021). Learning in Social Interaction: Perspectives from Psychology and Robotics. 2021 IEEE International Conference on Development and Learning (ICDL), 1–8. https://doi.org/10.1109/ICDL49984.2021.9515648

Research

An overview of our scientific work

See our Research Projects