Learner Modeling in Intelligent Computer‐Assisted Language Learning
Bibliographic Data
| ID | 23658285 |
|---|---|
| Authors | Mathias Schulze (0000-0001-5847-8996, corresponding author) |
| Year | 2012 |
| Publication date | 2012-11-05 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Encyclopedia of Applied Linguistics (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405198431.wbeal0671 |
| OpenAlex | W1576817641 |
| ISBN | 9781405198431 |
| Language | EN |
| Citations received | 1 |
| References cited | 16 |
In computer‐assisted language learning (CALL), a student model is a computational data structure that contains information about individual students and thus facilitates individualized instruction through the adaptation of a language learning system to the learner.
Adaptation (eye) · Human–computer interaction · Language acquisition · Mathematics education · Multimedia · Natural language processing · Artificial Intelligence · Computer Science · Intelligent Tutoring Systems and Adaptive Learning · Psychology · Speech and dialogue systems · Topic Modeling
| Citations per year | 0.07 |
|---|---|
| Citation span | 2012 - 2012 (1) |
| Highly cited | No |