Modeling Second-Language Learning from a Psychological Perspective
Alexander Rich, Pamela Osborn Popp, David Halpern, Anselm Rothe, Todd Gureckis
Abstract
Psychological research on learning and memory has tended to emphasize small-scale laboratory studies. However, large datasets of people using educational software provide opportunities to explore these issues from a new perspective. In this paper we describe our approach to the Duolingo Second Language Acquisition Modeling (SLAM) competition which was run in early 2018. We used a well-known class of algorithms (gradient boosted decision trees), with features partially informed by theories from the psychological literature. After detailing our modeling approach and a number of supplementary simulations, we reflect on the degree to which psychological theory aided the model, and the potential for cognitive science and predictive modeling competitions to gain from each other.- Anthology ID:
- W18-0526
- Volume:
- Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Joel Tetreault, Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Helen Yannakoudakis
- Venue:
- BEA
- SIG:
- SIGEDU
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 223–230
- Language:
- URL:
- https://aclanthology.org/W18-0526
- DOI:
- 10.18653/v1/W18-0526
- Cite (ACL):
- Alexander Rich, Pamela Osborn Popp, David Halpern, Anselm Rothe, and Todd Gureckis. 2018. Modeling Second-Language Learning from a Psychological Perspective. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 223–230, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Modeling Second-Language Learning from a Psychological Perspective (Rich et al., BEA 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-0526.pdf