Wissenschaftlicher Mitarbeiter
Oktay Ülker, M.Sc.
Wissenschaftlicher Mitarbeiter (Forschung und Lehre)
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Raum Telefon |
LE 635 +49 203 379 / 4762 |
Sprechstunde nach Vereinbarung
Postanschrift
Fachgebiet Psychologische Forschungsmethoden
Medienbasierte Wissenskonstruktion
Abteilung für Human-centered Computing and Cognitive Science
Fakultät für Informatik
Universität Duisburg-Essen, Campus Duisburg
Lotharstraße 65
D-47057 Duisburg
Forschungsinteressen
- Collaborative Learning
- Conflicting Information
- Group Awareness & Partner Modelling
- Mathematical Modelling of Cognition
- Source Credibility
- Source Memory
Mitgliedschaften
- DGPs – Deutsche Gesellschaft für Psychologie, Fachgruppen Allgemeine Psychologie und Pädagogische Psychologie https://www.dgps.de
- EARLI – European Association for Research on Learning and Instruction https://earli.org/
- ISLS – International Society of the Learning Sciences https://www.isls.org/
- iZfB – Interdisziplinäres Zentrum für Bildungsforschung https://www.uni-due.de/izfb
Publikationen (peer-reviewed)
Ülker, O. & Bodemer, D. (2024). Source Memory and Collaborative Learning: The Role of Group Composition and Conflicting Information. In J. Clarke-Midura, I. Kollar, X. Gu, & C. D’Angelo (Eds.), Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning – CSCL 2024 (pp. 237–240). International Society of the Learning Sciences. https://doi.org/10.22318/cscl2024.108887
Ülker, O. & Bodemer, D. (2023). Remembering the knowledge of experts and novices in computer-supported collaborative learning: A multinomial processing tree approach. In JL. Shih, A. Kashihara, W. Chen & H. Ogata. (Eds.), Proceedings of the 31st International Conference on Computers in Education, Vol. 1 (pp. 286–291). Asia-Pacific Society for Computers in Education. https://eds.let.media.kyoto-u.ac.jp/ICCE2023/wp-content/uploads/2023/12/ICCE2023-Proceedings-V1-1214-final.pdf
Konferenzbeiträge
Ülker, O. & Bodemer, D. (2024, June). Source memory and collaborative learning: the role of group composition and conflicting information. 17th International Conference on Computer-Supported Collaborative Learning (ISLS Annual Meeting), 10. – 14.06.2024, Buffalo, New York, USA.
Ülker, O. & Bodemer, D. (2024, March). Applying Multinomial Models to Examine Partner Modelling in Collaborative Learning. TeaP 2024 (66. Tagung experimentell arbeitender Psycholog*innen / Conference of Experimental Psychologists), 17. – 20.03.2024, Regensburg, Germany.
Ülker, O., & Bodemer, D. (2023, December). Remembering the knowledge of experts and novices in computer-supported collaborative learning: A multinomial processing tree approach. Paper presented at the 31st International Conference on Computers in Education (ICCE), 04. – 08.12.2019, Matsue, Shimane, Japan.
Ülker, O. & Bodemer, D. (2023, March). Source memory and collaborative learning: the role of group composition and conflicting information. TeaP 2023 (65. Tagung experimentell arbeitender Psycholog*innen / Conference of Experimental Psychologists), 26. – 29.03.2023, Trier, Germany.
Ülker, O. & Bodemer, D. (2022, August). Source memory and collaborative learning: the role of group composition and conflicting information. Paper accepted for presentation at the joint EARLI SIG 7 (Technology-Enhanced Learning and Instruction) and SIG 6 (Instructional Design) Meeting, 22. – 24.08.2022, Zollikofen, Switzerland.