Intelligent diagnostic feedback for online multiple-choice questions
When students attempt multiple-choice questions (MCQs) they generate invaluable information which can form the basis for understanding their learning behaviours. In this research, the information is collected and automatically analysed to provide customized, diagnostic feedback to support students’...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2014
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/1445/7/3-dominic.pdf |
| _version_ | 1804071677260201984 |
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| author | Guo, Ruisheng Palmer-Brown, Dominic Lee, S. W. Cai, Fang Fang |
| author_facet | Guo, Ruisheng Palmer-Brown, Dominic Lee, S. W. Cai, Fang Fang |
| author_sort | Guo, Ruisheng |
| collection | LMU |
| description | When students attempt multiple-choice questions (MCQs) they generate invaluable information which can form the basis for understanding their learning behaviours. In this research, the information is collected and automatically analysed to provide customized, diagnostic feedback to support students’ learning. This is achieved within a web-based system, incorporating the snap-drift neural network based analysis of students’ responses to MCQs. This paper presents the results of a large trial of the method and the system which demonstrates the effectiveness of the feedback in guiding students towards a better understanding of particular concepts. |
| first_indexed | 2024-07-09T03:47:03Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:1445 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2024-07-09T03:47:03Z |
| publishDate | 2014 |
| publisher | Springer |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:14452020-04-08T10:10:59Z http://repository.londonmet.ac.uk/1445/ Intelligent diagnostic feedback for online multiple-choice questions Guo, Ruisheng Palmer-Brown, Dominic Lee, S. W. Cai, Fang Fang 000 Computer science, information & general works When students attempt multiple-choice questions (MCQs) they generate invaluable information which can form the basis for understanding their learning behaviours. In this research, the information is collected and automatically analysed to provide customized, diagnostic feedback to support students’ learning. This is achieved within a web-based system, incorporating the snap-drift neural network based analysis of students’ responses to MCQs. This paper presents the results of a large trial of the method and the system which demonstrates the effectiveness of the feedback in guiding students towards a better understanding of particular concepts. Springer 2014-10 Article PeerReviewed text en cc_by_nc_nd https://repository.londonmet.ac.uk/1445/7/3-dominic.pdf Guo, Ruisheng, Palmer-Brown, Dominic, Lee, S. W. and Cai, Fang Fang (2014) Intelligent diagnostic feedback for online multiple-choice questions. Artificial Intelligence Review, 42 (3). pp. 369-383. ISSN 1573-7462 https://link.springer.com/article/10.1007%2Fs10462-013-9419-6 10.1007/s10462-013-9419-6 |
| spellingShingle | 000 Computer science, information & general works Guo, Ruisheng Palmer-Brown, Dominic Lee, S. W. Cai, Fang Fang Intelligent diagnostic feedback for online multiple-choice questions |
| title | Intelligent diagnostic feedback for online multiple-choice questions |
| title_full | Intelligent diagnostic feedback for online multiple-choice questions |
| title_fullStr | Intelligent diagnostic feedback for online multiple-choice questions |
| title_full_unstemmed | Intelligent diagnostic feedback for online multiple-choice questions |
| title_short | Intelligent diagnostic feedback for online multiple-choice questions |
| title_sort | intelligent diagnostic feedback for online multiple choice questions |
| topic | 000 Computer science, information & general works |
| url | https://repository.londonmet.ac.uk/1445/7/3-dominic.pdf |
| work_keys_str_mv | AT guoruisheng intelligentdiagnosticfeedbackforonlinemultiplechoicequestions AT palmerbrowndominic intelligentdiagnosticfeedbackforonlinemultiplechoicequestions AT leesw intelligentdiagnosticfeedbackforonlinemultiplechoicequestions AT caifangfang intelligentdiagnosticfeedbackforonlinemultiplechoicequestions |