An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System
The definition of effective pedagogical strategies for coaching and tutoring students according to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn automatically how to te...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Vilnius University
2003-10-01
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| Series: | Informatics in Education |
| Subjects: | |
| Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2003.17 |
| _version_ | 1798035579407958016 |
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| author | Ana IGLESIAS Paloma MARTÍNEZ Fernando FERNÁNDEZ |
| author_facet | Ana IGLESIAS Paloma MARTÍNEZ Fernando FERNÁNDEZ |
| author_sort | Ana IGLESIAS |
| collection | DOAJ |
| description | The definition of effective pedagogical strategies for coaching and tutoring students according to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn automatically how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. The application of this artificial intelligence technique, RL, avoids to define the teaching strategies by learning action policies that define what, when and how to teach. In this paper we study the performance of the RL model in a DataBase Design (DBD) AIES, where this performance is measured on number of students required to acquire efficient teaching strategies. |
| first_indexed | 2024-04-11T20:59:05Z |
| format | Article |
| id | doaj.art-5980c44b98c74d7293ad4f6e249231cc |
| institution | Directory Open Access Journal |
| issn | 1648-5831 2335-8971 |
| language | English |
| last_indexed | 2024-04-11T20:59:05Z |
| publishDate | 2003-10-01 |
| publisher | Vilnius University |
| record_format | Article |
| series | Informatics in Education |
| spelling | doaj.art-5980c44b98c74d7293ad4f6e249231cc2022-12-22T04:03:33ZengVilnius UniversityInformatics in Education1648-58312335-89712003-10-012222324010.15388/infedu.2003.17An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational SystemAna IGLESIAS0Paloma MARTÍNEZ1Fernando FERNÁNDEZ2Universidad Carlos III de Madrid Avda. de la Universidad 30, 28911-Leganés (Madrid) SpainUniversidad Carlos III de Madrid Avda. de la Universidad 30, 28911-Leganés (Madrid) SpainUniversidad Carlos III de Madrid Avda. de la Universidad 30, 28911-Leganés (Madrid) SpainThe definition of effective pedagogical strategies for coaching and tutoring students according to their needs is one of the most important issues in Adaptive and Intelligent Educational Systems (AIES). The use of a Reinforcement Learning (RL) model allows the system to learn automatically how to teach to each student individually, only based on the acquired experience with other learners with similar characteristics, like a human tutor does. The application of this artificial intelligence technique, RL, avoids to define the teaching strategies by learning action policies that define what, when and how to teach. In this paper we study the performance of the RL model in a DataBase Design (DBD) AIES, where this performance is measured on number of students required to acquire efficient teaching strategies.https://infedu.vu.lt/doi/10.15388/infedu.2003.17web-based adaptive and intelligent educational systemsintelligent tutoring systemreinforcement learningcurriculum sequencing |
| spellingShingle | Ana IGLESIAS Paloma MARTÍNEZ Fernando FERNÁNDEZ An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System Informatics in Education web-based adaptive and intelligent educational systems intelligent tutoring system reinforcement learning curriculum sequencing |
| title | An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System |
| title_full | An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System |
| title_fullStr | An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System |
| title_full_unstemmed | An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System |
| title_short | An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System |
| title_sort | experience applying reinforcement learning in a web based adaptive and intelligent educational system |
| topic | web-based adaptive and intelligent educational systems intelligent tutoring system reinforcement learning curriculum sequencing |
| url | https://infedu.vu.lt/doi/10.15388/infedu.2003.17 |
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