دورية أكاديمية
Diag-Skills: A Diagnosis System Using Belief Functions and Semantic Models in ITS
| العنوان: | Diag-Skills: A Diagnosis System Using Belief Functions and Semantic Models in ITS |
|---|---|
| المؤلفون: | Nesrine Rahmouni, Domitile Lourdeaux, Azzeddine Benabbou, Tahar Bensebaa |
| المصدر: | Applied Sciences, Vol 11, Iss 23, p 11326 (2021) |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | belief functions, diagnosis, technology-enhanced learning, tutoring systems, uncertainty, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | This work is related to the diagnosis process in intelligent tutoring systems (ITS). This process is usually a complex task that relies on imperfect data. Indeed, learning data may suffer from imprecision, uncertainty, and sometimes contradictions. In this paper, we propose Diag-Skills a diagnosis model that uses the theory of belief functions to capture these imperfections. The objective of this work is twofold: first, a dynamic diagnosis of the evaluated skills, then, the prediction of the state of the non-evaluated ones. We conducted two studies to evaluate the prediction precision of Diag-Skills. The evaluations showed good precision in predictions and almost perfect agreement with the instructor when the model failed to predict the effective state of the skill. Our main premise is that these results will serve as a support to the remediation and the feedbacks given to the learners by providing them a proper personalization. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2076-3417 |
| العلاقة: | https://www.mdpi.com/2076-3417/11/23/11326Test; https://doaj.org/toc/2076-3417Test |
| DOI: | 10.3390/app112311326 |
| الوصول الحر: | https://doaj.org/article/c28ac958316f44abba073083eb050d73Test |
| رقم الانضمام: | edsdoj.28ac958316f44abba073083eb050d73 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20763417 |
|---|---|
| DOI: | 10.3390/app112311326 |