Mutual Human-Computer Tutoring Using Agents

被引：0
|
作者：
Ennaji, Mourad [1 ]
Boukachour, Hadhoum [2 ]
Machkour, Mustapha [1 ]
Salah, Mohamed Ben [1 ]
机构：
[1] Fac Sci Ibn Zohr, Lab Syst Informat & Vis Labsiv, Agadir, Morocco
[2] Univ Havre, Lab Informat Traitement Informat & Syst LITIS, Le Havre, France
来源：
2020 6TH IEEE CONGRESS ON INFORMATION SCIENCE AND TECHNOLOGY (IEEE CIST'20) | 2020年
关键词：
collaborative tutoring; multi-agent CBR; ontology; System complex;
D O I：
10.1109/CIST49399.2021.9357194
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Learning platforms provide educational tools and strategies to impart the necessary knowledge, skills and attitudes to learners. Effectiveness and the ability to deliver tangible benefits to learners largely depend on how they are designed, delivered and assessed. Smart tutoring systems are a solution to overcome the difficulties of learners by allowing them to have personalized learning and follow-up. This article presents a critique of the effectiveness of these platforms and proposes a generic architecture independent of the learning subject and which offers the learner Machine / Human monitoring.
引用
收藏
页码：279 / 283
页数：5
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