Abstract
Automatic assessment of the proficiency levels of the learner is a critical part of Intelligent Tutoring Systems. We present methods for assessment in the context of language learning. We use a specialized Elo formula used in conjunction with educational data mining. We simultaneously obtain ratings for the proficiency of the learners and for the difficulty of the linguistic concepts that the learners are trying to master. From the same data we also learn a graph structure representing a domain model capturing the relations among the concepts. This application of Elo provides ratings for learners and concepts which correlate well with subjective proficiency levels of the learners and difficulty levels of the concepts.
Original language | English |
---|---|
Title of host publication | Innovative Use of NLP for Building Educational Applications : Proceedings of the 14th Workshop |
Editors | Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch |
Number of pages | 13 |
Place of Publication | Stroudsburg |
Publisher | The Association for Computational Linguistics |
Publication date | Aug 2019 |
Pages | 494-506 |
ISBN (Electronic) | 978-1-950737-34-5 |
Publication status | Published - Aug 2019 |
MoE publication type | A4 Article in conference proceedings |
Event | Workshop on Innovative Use of NLP for Building Educational Applications - Florence, Italy Duration: 2 Aug 2019 → 2 Aug 2019 Conference number: 14 |
Fields of Science
- 113 Computer and information sciences
- 516 Educational sciences
- 6121 Languages
Projects
-
LLL: Language Learning Lab
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Project: Research project
-
Revita: Language learning and AI
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Project: Research project