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- Publisher Website: 10.1145/2883851.2883959
- Scopus: eid_2-s2.0-84976466038
- WOS: WOS:000390844700004
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Conference Paper: Towards personalizing an e-quiz bank for primary school students: an exploration with association rule mining and clustering
Title | Towards personalizing an e-quiz bank for primary school students: an exploration with association rule mining and clustering |
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Authors | |
Keywords | Association rule mining Clustering E-quiz bank Reading |
Issue Date | 2016 |
Publisher | ACM Press. The Conference Proceedings' website is located at http://dl.acm.org/citation.cfm?id=2883851&picked=prox |
Citation | The 6th International Conference on Learning Analytics and Knowledge (LAK 2016), Edinburgh, UK., 25-29 April 2016. In Conference Proceedings, 2016, p. 25-29 How to Cite? |
Abstract | Given the importance of reading proficiency and habits for young students, an online e-quiz bank, Reading Battle, was launched in 2014 to facilitate reading improvement for primary-school students. With more than ten thousand questions in both English and Chinese, the system has attracted nearly five thousand learners who have made about half a million question answering records. In an effort
towards delivering personalized learning experience to the learners, this study aims to discover potentially useful knowledge from learners’ reading and question answering records in the Reading
Battle system, by applying association rule mining and clustering analysis. The results show that learners could be grouped into three clusters based on their self-reported reading habits. The rules mined
from different learner clusters can be used to develop personalized recommendations to the learners. Implications of the results on evaluating and further improving the Reading Battle system are also
discussed. |
Description | Session: Learner models |
Persistent Identifier | http://hdl.handle.net/10722/232627 |
ISBN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hu, X | - |
dc.contributor.author | Zhang, YF | - |
dc.contributor.author | Chu, SKW | - |
dc.contributor.author | Ke, XB | - |
dc.date.accessioned | 2016-09-20T05:31:18Z | - |
dc.date.available | 2016-09-20T05:31:18Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | The 6th International Conference on Learning Analytics and Knowledge (LAK 2016), Edinburgh, UK., 25-29 April 2016. In Conference Proceedings, 2016, p. 25-29 | - |
dc.identifier.isbn | 978-1-4503-4190-5 | - |
dc.identifier.uri | http://hdl.handle.net/10722/232627 | - |
dc.description | Session: Learner models | - |
dc.description.abstract | Given the importance of reading proficiency and habits for young students, an online e-quiz bank, Reading Battle, was launched in 2014 to facilitate reading improvement for primary-school students. With more than ten thousand questions in both English and Chinese, the system has attracted nearly five thousand learners who have made about half a million question answering records. In an effort towards delivering personalized learning experience to the learners, this study aims to discover potentially useful knowledge from learners’ reading and question answering records in the Reading Battle system, by applying association rule mining and clustering analysis. The results show that learners could be grouped into three clusters based on their self-reported reading habits. The rules mined from different learner clusters can be used to develop personalized recommendations to the learners. Implications of the results on evaluating and further improving the Reading Battle system are also discussed. | - |
dc.language | eng | - |
dc.publisher | ACM Press. The Conference Proceedings' website is located at http://dl.acm.org/citation.cfm?id=2883851&picked=prox | - |
dc.relation.ispartof | Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, LAK '16 | - |
dc.rights | Copyright is held by the owner/author(s) | - |
dc.subject | Association rule mining | - |
dc.subject | Clustering | - |
dc.subject | E-quiz bank | - |
dc.subject | Reading | - |
dc.title | Towards personalizing an e-quiz bank for primary school students: an exploration with association rule mining and clustering | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, X: xiaoxhu@hku.hk | - |
dc.identifier.email | Chu, SKW: samchu@hku.hk | - |
dc.identifier.authority | Hu, X=rp01711 | - |
dc.identifier.authority | Chu, SKW=rp00897 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1145/2883851.2883959 | - |
dc.identifier.scopus | eid_2-s2.0-84976466038 | - |
dc.identifier.hkuros | 263658 | - |
dc.identifier.hkuros | 264703 | - |
dc.identifier.spage | 25 | - |
dc.identifier.epage | 29 | - |
dc.identifier.isi | WOS:000390844700004 | - |
dc.publisher.place | United States | - |