Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts
Students’ interactions with exercises can reveal interesting features that can be used to redesign or effectively use the exercises during the learning process. The precise modeling of exercises includes how grades can evolve, depending on the number of attempts and time spent on the exercises. A mi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Internacional de La Rioja (UNIR)
2025-06-01
|
| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.ijimai.org/journal/bibcite/reference/3496 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850158229043019776 |
|---|---|
| author | Alberto Jiménez Macías Pedro J. Muñoz Merino Carlos Delgado Kloos |
| author_facet | Alberto Jiménez Macías Pedro J. Muñoz Merino Carlos Delgado Kloos |
| author_sort | Alberto Jiménez Macías |
| collection | DOAJ |
| description | Students’ interactions with exercises can reveal interesting features that can be used to redesign or effectively use the exercises during the learning process. The precise modeling of exercises includes how grades can evolve, depending on the number of attempts and time spent on the exercises. A missing aspect is how a precise relationship among grades, number of attempts, and time spent can be inferred from student interactions with exercises using machine learning methods, and how it differs depending on different factors. In this study, we analyzed the application of different machine-learning methods for modeling different scenarios by varying the probability of answering correctly, dataset sizes, and distributions. The results show that the model converged when the probability of random guessing was low. For exercises with an average of 2 attempts, the model converged to 200 interactions. However, increasing the number of interactions beyond 200 does not affect the accuracy of the model. |
| format | Article |
| id | doaj-art-c2312c7e0b5a495c80838f004ad589fb |
| institution | OA Journals |
| issn | 1989-1660 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | Article |
| series | International Journal of Interactive Multimedia and Artificial Intelligence |
| spelling | doaj-art-c2312c7e0b5a495c80838f004ad589fb2025-08-20T02:23:56ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16602025-06-019312714010.9781/ijimai.2024.10.002ijimai.2024.10.002Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of AttemptsAlberto Jiménez MacíasPedro J. Muñoz MerinoCarlos Delgado KloosStudents’ interactions with exercises can reveal interesting features that can be used to redesign or effectively use the exercises during the learning process. The precise modeling of exercises includes how grades can evolve, depending on the number of attempts and time spent on the exercises. A missing aspect is how a precise relationship among grades, number of attempts, and time spent can be inferred from student interactions with exercises using machine learning methods, and how it differs depending on different factors. In this study, we analyzed the application of different machine-learning methods for modeling different scenarios by varying the probability of answering correctly, dataset sizes, and distributions. The results show that the model converged when the probability of random guessing was low. For exercises with an average of 2 attempts, the model converged to 200 interactions. However, increasing the number of interactions beyond 200 does not affect the accuracy of the model.https://www.ijimai.org/journal/bibcite/reference/3496content modelinglearning analyticssimulated studentssmart content |
| spellingShingle | Alberto Jiménez Macías Pedro J. Muñoz Merino Carlos Delgado Kloos Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts International Journal of Interactive Multimedia and Artificial Intelligence content modeling learning analytics simulated students smart content |
| title | Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts |
| title_full | Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts |
| title_fullStr | Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts |
| title_full_unstemmed | Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts |
| title_short | Simulations for the Precise Modeling of Exercises Including Time, Grades and Number of Attempts |
| title_sort | simulations for the precise modeling of exercises including time grades and number of attempts |
| topic | content modeling learning analytics simulated students smart content |
| url | https://www.ijimai.org/journal/bibcite/reference/3496 |
| work_keys_str_mv | AT albertojimenezmacias simulationsfortheprecisemodelingofexercisesincludingtimegradesandnumberofattempts AT pedrojmunozmerino simulationsfortheprecisemodelingofexercisesincludingtimegradesandnumberofattempts AT carlosdelgadokloos simulationsfortheprecisemodelingofexercisesincludingtimegradesandnumberofattempts |