A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems
In recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and activities that teachers can freely select to complement their teaching, which mea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad Internacional de La Rioja (UNIR)
2023-03-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.ijimai.org/journal/bibcite/reference/3216 |
| _version_ | 1811162814287446016 |
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| author | Luisa M. Regueras María Jesús Verdú Juan-Pablo de Castro |
| author_facet | Luisa M. Regueras María Jesús Verdú Juan-Pablo de Castro |
| author_sort | Luisa M. Regueras |
| collection | DOAJ |
| description | In recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and activities that teachers can freely select to complement their teaching, which means courses with different usage patterns difficult to characterize. This study proposes an expert system to automatically classify courses and certify teachers’ LMS competence from LMS logs. The proposed system uses clustering to stablish the classification scheme. From the output of this algorithm, it defines the rules used to classify courses. Data registered from a university virtual campus with 3,303 courses and two million interactive events have been used to obtain the classification scheme and rules. The system has been validated against a group of experts. Results show that it performs successfully. Therefore, it can be concluded that the system can automatically and satisfactorily evaluate and certify the teachers’ LMS competence evidenced in their courses. |
| first_indexed | 2024-04-10T06:36:25Z |
| format | Article |
| id | doaj.art-896536ea82ca46ec8b2f248bb2d7efe4 |
| institution | Directory Open Access Journal |
| issn | 1989-1660 |
| language | English |
| last_indexed | 2024-04-10T06:36:25Z |
| publishDate | 2023-03-01 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | Article |
| series | International Journal of Interactive Multimedia and Artificial Intelligence |
| spelling | doaj.art-896536ea82ca46ec8b2f248bb2d7efe42023-02-28T23:10:33ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16602023-03-0177758110.9781/ijimai.2022.11.004ijimai.2022.11.004A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management SystemsLuisa M. ReguerasMaría Jesús VerdúJuan-Pablo de CastroIn recent years and accelerated by the arrival of the COVID-19 pandemic, Learning Management Systems (LMS) are increasingly used as a complement to university teaching. LMS provide an important number of resources and activities that teachers can freely select to complement their teaching, which means courses with different usage patterns difficult to characterize. This study proposes an expert system to automatically classify courses and certify teachers’ LMS competence from LMS logs. The proposed system uses clustering to stablish the classification scheme. From the output of this algorithm, it defines the rules used to classify courses. Data registered from a university virtual campus with 3,303 courses and two million interactive events have been used to obtain the classification scheme and rules. The system has been validated against a group of experts. Results show that it performs successfully. Therefore, it can be concluded that the system can automatically and satisfactorily evaluate and certify the teachers’ LMS competence evidenced in their courses.https://www.ijimai.org/journal/bibcite/reference/3216academic analyticsautomatic course classificationlearning management systemsrule-based systemexpert system |
| spellingShingle | Luisa M. Regueras María Jesús Verdú Juan-Pablo de Castro A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems International Journal of Interactive Multimedia and Artificial Intelligence academic analytics automatic course classification learning management systems rule-based system expert system |
| title | A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems |
| title_full | A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems |
| title_fullStr | A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems |
| title_full_unstemmed | A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems |
| title_short | A Rule-Based Expert System for Teachers’ Certification in the Use of Learning Management Systems |
| title_sort | rule based expert system for teachers certification in the use of learning management systems |
| topic | academic analytics automatic course classification learning management systems rule-based system expert system |
| url | https://www.ijimai.org/journal/bibcite/reference/3216 |
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