Open Learner Models for Multi-activity Educational Systems
| Autor: | Ali Darvishi, Hassan Khosravi, Shazia Sadiq, Solmaz Abdi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
media_common.quotation_subject 05 social sciences Representation (systemics) 050301 education Knowledge state 02 engineering and technology Human–computer interaction ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering Student activities 020201 artificial intelligence & image processing Quality (business) Baseline (configuration management) 0503 education Educational systems media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030782696 AIED (2) |
| DOI: | 10.1007/978-3-030-78270-2_2 |
| Popis: | In recent years, there has been an increasing trend in the use of student-centred approaches within educational systems that engage students in various higher-order learning activities such as creating resources, creating solutions, rating the quality of resources, and giving feedback. In response to this trend, this paper proposes an interpretable and open learner model called MA-Elo that capture an abstract representation of a student’s knowledge state based on their engagement with multiple types of learning activities. We apply MA-Elo to three data sets obtained from an educational system supporting multiple student activities. Results indicate that the proposed approach can provide a higher predictive performance compared with baseline and some state-of-the-art learner models. |
| Databáze: | OpenAIRE |
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