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- Publisher Website: 10.1109/TALE.2016.7851779
- Scopus: eid_2-s2.0-85015155237
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Conference Paper: Analyzing academic discussion forum data with topic detection and data visualization
| Title | Analyzing academic discussion forum data with topic detection and data visualization |
|---|---|
| Authors | |
| Keywords | data visualization Education Data Mining LDA LDAvis topic detection |
| Issue Date | 2017 |
| Publisher | IEEE. The Journal's web site is located at http://tale-conference.org/TALE_past-conferences.php |
| Citation | 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Bangkok, Thailand, 7-9 December 2016, p. 109-115 How to Cite? |
| Abstract | In this paper, we are going to present the latest development of an ongoing learning analytics project extended based on [9] and [12], which sets the directions for the next stages of our experiment to aim for a better educational technology application in helping teacher evaluate the learning process of students through performance analytics of a general education course module with an online discussion forum. As it is time-consuming to manually spot the discussion forums by humans to know the changes and therefore, better tools are needed. In this project, contents of discussion forums of students were extracted into for mining patterns. In our latest experiments, we deployed topic detection and data visualization tools to analyze the discussion forum data better to generate intelligence to understand the how the students are performing in and feeling about the course modules they are taking. |
| Persistent Identifier | http://hdl.handle.net/10722/245666 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wong, KWG | - |
| dc.contributor.author | Li, SYK | - |
| dc.contributor.author | Wong, EWY | - |
| dc.date.accessioned | 2017-09-18T02:14:45Z | - |
| dc.date.available | 2017-09-18T02:14:45Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Bangkok, Thailand, 7-9 December 2016, p. 109-115 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/245666 | - |
| dc.description.abstract | In this paper, we are going to present the latest development of an ongoing learning analytics project extended based on [9] and [12], which sets the directions for the next stages of our experiment to aim for a better educational technology application in helping teacher evaluate the learning process of students through performance analytics of a general education course module with an online discussion forum. As it is time-consuming to manually spot the discussion forums by humans to know the changes and therefore, better tools are needed. In this project, contents of discussion forums of students were extracted into for mining patterns. In our latest experiments, we deployed topic detection and data visualization tools to analyze the discussion forum data better to generate intelligence to understand the how the students are performing in and feeling about the course modules they are taking. | - |
| dc.language | eng | - |
| dc.publisher | IEEE. The Journal's web site is located at http://tale-conference.org/TALE_past-conferences.php | - |
| dc.relation.ispartof | IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) | - |
| dc.rights | IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). Copyright © IEEE. | - |
| dc.rights | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | data visualization | - |
| dc.subject | Education Data Mining | - |
| dc.subject | LDA | - |
| dc.subject | LDAvis | - |
| dc.subject | topic detection | - |
| dc.title | Analyzing academic discussion forum data with topic detection and data visualization | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Wong, KWG: wongkwg@hku.hk | - |
| dc.identifier.authority | Wong, KWG=rp02193 | - |
| dc.identifier.doi | 10.1109/TALE.2016.7851779 | - |
| dc.identifier.scopus | eid_2-s2.0-85015155237 | - |
| dc.identifier.hkuros | 276095 | - |
| dc.identifier.spage | 109 | - |
| dc.identifier.epage | 115 | - |
| dc.publisher.place | United States | - |