Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery
Intelligent Tutoring Systems (ITSs) are computer software designed to simulate or imitate a human tutor’s behavior and guidance. ITSs can be seen as personalized tutoring systems that arouse students’ learning enthusiasm. One of the important features of ITS is the capability to interpret complex st...
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| Format: | Article |
| Language: | English |
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Pejabat Karang Mengarang UPSI
2023-12-01
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| Series: | Journal of ICT in Education |
| Subjects: | |
| Online Access: | https://ejournal.upsi.edu.my/index.php/JICTIE/article/view/8668 |
| _version_ | 1797208861597237248 |
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| author | Siti Khatijah Nor Abdul Rahim Amir Hamzah Jaafar Geetha Baskaran |
| author_facet | Siti Khatijah Nor Abdul Rahim Amir Hamzah Jaafar Geetha Baskaran |
| author_sort | Siti Khatijah Nor Abdul Rahim |
| collection | DOAJ |
| description | Intelligent Tutoring Systems (ITSs) are computer software designed to simulate or imitate a human tutor’s behavior and guidance. ITSs can be seen as personalized tutoring systems that arouse students’ learning enthusiasm. One of the important features of ITS is the capability to interpret complex student’s responses and to estimate the student’s degree of mastery, and as a result, it manages to adjust the behaviour of the tutoring accordingly. Mastery learning requires that the tutoring system have a mechanism to evaluate the student’s degree of mastery in a particular knowledge. Motivated by this, and realizing that ITS still needs to improve its capability in helping students attain knowledge according to their degree of mastery of the underlying knowledge of a particular topic, this study has proposed new criteria and approaches to measure the student’s degree of mastery through data pre-processing. The pre-processing was done on some data files to obtain more meaningful data to achieve the aim. From the results obtained, it was shown that student’s degree of mastery was able to be measured through the proposed approach. This can benefit the ITS to be a personalized tutor according to the student’s capability. |
| first_indexed | 2024-04-24T09:45:32Z |
| format | Article |
| id | doaj.art-82a5a3f0798c421aaa319f87693be926 |
| institution | Directory Open Access Journal |
| issn | 2289-7844 0127-9750 |
| language | English |
| last_indexed | 2024-04-24T09:45:32Z |
| publishDate | 2023-12-01 |
| publisher | Pejabat Karang Mengarang UPSI |
| record_format | Article |
| series | Journal of ICT in Education |
| spelling | doaj.art-82a5a3f0798c421aaa319f87693be9262024-04-15T03:49:38ZengPejabat Karang Mengarang UPSIJournal of ICT in Education2289-78440127-97502023-12-0110211313110.37134/jictie.vol10.2.7.20236708Intelligent tutoring system: New criteria and evaluation to measure students’ degree of masterySiti Khatijah Nor Abdul Rahim0Amir Hamzah Jaafar1Geetha Baskaran2School of Computing Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia.E-Content (M) Sdn. Bhd, 63000 Cyberjaya, Selangor, Malaysia.Procurement Services, University of Sydney, Forest Lodge, NSW 2037, Australia.Intelligent Tutoring Systems (ITSs) are computer software designed to simulate or imitate a human tutor’s behavior and guidance. ITSs can be seen as personalized tutoring systems that arouse students’ learning enthusiasm. One of the important features of ITS is the capability to interpret complex student’s responses and to estimate the student’s degree of mastery, and as a result, it manages to adjust the behaviour of the tutoring accordingly. Mastery learning requires that the tutoring system have a mechanism to evaluate the student’s degree of mastery in a particular knowledge. Motivated by this, and realizing that ITS still needs to improve its capability in helping students attain knowledge according to their degree of mastery of the underlying knowledge of a particular topic, this study has proposed new criteria and approaches to measure the student’s degree of mastery through data pre-processing. The pre-processing was done on some data files to obtain more meaningful data to achieve the aim. From the results obtained, it was shown that student’s degree of mastery was able to be measured through the proposed approach. This can benefit the ITS to be a personalized tutor according to the student’s capability.https://ejournal.upsi.edu.my/index.php/JICTIE/article/view/8668intelligent tutoring systemmastery levelpre-processingevaluation criteriaevaluation function |
| spellingShingle | Siti Khatijah Nor Abdul Rahim Amir Hamzah Jaafar Geetha Baskaran Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery Journal of ICT in Education intelligent tutoring system mastery level pre-processing evaluation criteria evaluation function |
| title | Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery |
| title_full | Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery |
| title_fullStr | Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery |
| title_full_unstemmed | Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery |
| title_short | Intelligent tutoring system: New criteria and evaluation to measure students’ degree of mastery |
| title_sort | intelligent tutoring system new criteria and evaluation to measure students degree of mastery |
| topic | intelligent tutoring system mastery level pre-processing evaluation criteria evaluation function |
| url | https://ejournal.upsi.edu.my/index.php/JICTIE/article/view/8668 |
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