InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System
Numerous studies have been conducted on the influence of peers on students’ learning processes and their participation in online forums. However, these studies are limited in terms of system functionality and lack real-time analysis. In this study, we present InPath, a real-time analytics...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9973307/ |
| _version_ | 1798006650004570112 |
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| author | Adeline Chew Yao Yi Tey Kai Ying Siang Jo Yee Wee Mee Chin Ting Tin Tin |
| author_facet | Adeline Chew Yao Yi Tey Kai Ying Siang Jo Yee Wee Mee Chin Ting Tin Tin |
| author_sort | Adeline Chew Yao Yi |
| collection | DOAJ |
| description | Numerous studies have been conducted on the influence of peers on students’ learning processes and their participation in online forums. However, these studies are limited in terms of system functionality and lack real-time analysis. In this study, we present InPath, a real-time analytics forum system, to rank and provide feedback on the performance of online participation of students. We used the of other students of the online discussion forum performance as an effective reference point to inspire forum participation. A set of learning metrics was generated to analyze the contributions to online forums. The K-means clustering method was used to classify the students into three broad levels: Hall of Fame, All Star, and Rookies. The results showed that students with higher badge levels were more likely to spend more time on forums. In summary, this study highlights the implications of this state-of-the-art system for learning analytics on online forums, including supporting instructors and students in determining overall and individual performance on the forum. |
| first_indexed | 2024-04-11T12:59:03Z |
| format | Article |
| id | doaj.art-1e8ab346c5b74755b8b87675447e1e98 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T12:59:03Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1e8ab346c5b74755b8b87675447e1e982022-12-22T04:23:00ZengIEEEIEEE Access2169-35362022-01-011012853612854210.1109/ACCESS.2022.32274309973307InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum SystemAdeline Chew Yao Yi0Tey Kai Ying1Siang Jo Yee2Wee Mee Chin3https://orcid.org/0000-0002-7248-4302Ting Tin Tin4https://orcid.org/0000-0001-7634-1686School of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, MalaysiaSchool of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, MalaysiaSchool of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, MalaysiaSchool of Information Technology, Monash University Malaysia, Subang Jaya, Selangor, MalaysiaFaculty of Data Science and Information Technology, INTI International University, Nilai, Negeri Sembilan, MalaysiaNumerous studies have been conducted on the influence of peers on students’ learning processes and their participation in online forums. However, these studies are limited in terms of system functionality and lack real-time analysis. In this study, we present InPath, a real-time analytics forum system, to rank and provide feedback on the performance of online participation of students. We used the of other students of the online discussion forum performance as an effective reference point to inspire forum participation. A set of learning metrics was generated to analyze the contributions to online forums. The K-means clustering method was used to classify the students into three broad levels: Hall of Fame, All Star, and Rookies. The results showed that students with higher badge levels were more likely to spend more time on forums. In summary, this study highlights the implications of this state-of-the-art system for learning analytics on online forums, including supporting instructors and students in determining overall and individual performance on the forum.https://ieeexplore.ieee.org/document/9973307/Real-time learning analyticsonline discussion forumsfeedback systemranking systemvisualisation |
| spellingShingle | Adeline Chew Yao Yi Tey Kai Ying Siang Jo Yee Wee Mee Chin Ting Tin Tin InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System IEEE Access Real-time learning analytics online discussion forums feedback system ranking system visualisation |
| title | InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System |
| title_full | InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System |
| title_fullStr | InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System |
| title_full_unstemmed | InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System |
| title_short | InPath Forum: A Real-Time Learning Analytics and Performance Ranking Forum System |
| title_sort | inpath forum a real time learning analytics and performance ranking forum system |
| topic | Real-time learning analytics online discussion forums feedback system ranking system visualisation |
| url | https://ieeexplore.ieee.org/document/9973307/ |
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