A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning
Learning mostly involves communication and interaction that leads to new information being processed, which eventually turns into knowledge. In the digital era, these actions pass through online technologies. Formal education uses LMSs that support these actions and, at the same time, produce massiv...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/14/8/440 |
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| author | Dimitrios Karapiperis Katerina Tzafilkou Rozita Tsoni Georgios Feretzakis Vassilios S. Verykios |
| author_facet | Dimitrios Karapiperis Katerina Tzafilkou Rozita Tsoni Georgios Feretzakis Vassilios S. Verykios |
| author_sort | Dimitrios Karapiperis |
| collection | DOAJ |
| description | Learning mostly involves communication and interaction that leads to new information being processed, which eventually turns into knowledge. In the digital era, these actions pass through online technologies. Formal education uses LMSs that support these actions and, at the same time, produce massive amounts of data. In a distance learning model, the assignments have an important role besides assessing the learning outcome; they also help students become actively engaged with the course and regulate their learning behavior. In this work, we leverage data retrieved from students’ online interactions to improve our understanding of the learning process. Focusing on log data, we investigate the students’ activity that occur close to and during assignment submission due dates. Additionally, their activity in relation to their academic achievements is examined and the response time in the forum communication is computed both for students and their tutors. The main findings include that students tend to procrastinate in the submission of their assignments mostly at the beginning of the course. Furthermore, the last-minute submissions are usually made late at night, which probably indicates poor management or lack of available time. Regarding forum interactions, our findings highlight that tutors tend to respond faster than students in the corresponding posts. |
| first_indexed | 2024-03-10T23:51:22Z |
| format | Article |
| id | doaj.art-58175ed314084355a332c812caa8e2ef |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T23:51:22Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-58175ed314084355a332c812caa8e2ef2023-11-19T01:34:42ZengMDPI AGInformation2078-24892023-08-0114844010.3390/info14080440A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance LearningDimitrios Karapiperis0Katerina Tzafilkou1Rozita Tsoni2Georgios Feretzakis3Vassilios S. Verykios4School of Science and Technology, International Hellenic University, 57001 Thessaloniki, GreeceSchool of Science and Technology, International Hellenic University, 57001 Thessaloniki, GreeceSchool of Science and Technology, Hellenic Open University, 26335 Patras, GreeceSchool of Science and Technology, Hellenic Open University, 26335 Patras, GreeceSchool of Science and Technology, Hellenic Open University, 26335 Patras, GreeceLearning mostly involves communication and interaction that leads to new information being processed, which eventually turns into knowledge. In the digital era, these actions pass through online technologies. Formal education uses LMSs that support these actions and, at the same time, produce massive amounts of data. In a distance learning model, the assignments have an important role besides assessing the learning outcome; they also help students become actively engaged with the course and regulate their learning behavior. In this work, we leverage data retrieved from students’ online interactions to improve our understanding of the learning process. Focusing on log data, we investigate the students’ activity that occur close to and during assignment submission due dates. Additionally, their activity in relation to their academic achievements is examined and the response time in the forum communication is computed both for students and their tutors. The main findings include that students tend to procrastinate in the submission of their assignments mostly at the beginning of the course. Furthermore, the last-minute submissions are usually made late at night, which probably indicates poor management or lack of available time. Regarding forum interactions, our findings highlight that tutors tend to respond faster than students in the corresponding posts.https://www.mdpi.com/2078-2489/14/8/440distance learninglearning analyticsLMS activitymoodle activityforum postsexponential distribution |
| spellingShingle | Dimitrios Karapiperis Katerina Tzafilkou Rozita Tsoni Georgios Feretzakis Vassilios S. Verykios A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning Information distance learning learning analytics LMS activity moodle activity forum posts exponential distribution |
| title | A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning |
| title_full | A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning |
| title_fullStr | A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning |
| title_full_unstemmed | A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning |
| title_short | A Probabilistic Approach to Modeling Students’ Interactions in a Learning Management System for Facilitating Distance Learning |
| title_sort | probabilistic approach to modeling students interactions in a learning management system for facilitating distance learning |
| topic | distance learning learning analytics LMS activity moodle activity forum posts exponential distribution |
| url | https://www.mdpi.com/2078-2489/14/8/440 |
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