Research associate
Oktay Ülker, M.Sc.
Research associate (research and teaching)
|
Room Tel. |
LE 635 +49 203 379 / 4762 |
Please make an appointment
Address
Research Methods in Psychology
Media-based Knowledge Construction
Department of Human-centered Computing and Cognitive Science
Faculty of Computer Science
University of Duisburg-Essen, Duisburg Campus
Lotharstraße 65
D-47057 Duisburg
Research Interests
- Collaborative Learning
- Conflicting Information
- Group Awareness & Partner Modelling
- Mathematical Modelling of Cognition
- Source Credibility
- Source Memory
Memberships
- DGPs – Deutsche Gesellschaft für Psychologie (German Psychological Society https://www.dgps.de/en/about-dgps
-
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
Publications (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
Contributions to conferences
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.