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AI chatbot for educational service improvement in the post-pandemic era : a case study prototype for supporting digital reading list
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Yang, Shanshan and Stansfield, Kim (2022) AI chatbot for educational service improvement in the post-pandemic era : a case study prototype for supporting digital reading list. In: IC4E 2022: 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E), Tokyo, Japan, 14-17 Jan 2022 pp. 24-29. ISBN 9781450387187. doi:10.1145/3514262.3514289
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WRAP-AI-chatbot-educational-service-improvement-post-pandemic era-Yang-2022.pdf - Accepted Version - Requires a PDF viewer. Download (513Kb) | Preview |
Official URL: http://dx.doi.org/10.1145/3514262.3514289
Abstract
This paper describes the development of an educational artificial intelligence (AI) chatbot prototype to support teachers in developing digital reading lists for their students. The chatbot aims to teach users how to use an educational system – Talis Aspire – effectively by giving them quick answers to questions, offering demonstrations and instructions on how to complete essential tasks on Talis Aspire, advising them how to solve problems and providing solutions for common issues. We have presented the prototype, together with the approach we used to design and develop it by considering the concepts of ‘Recontextualisation’ and ‘Quality Function Deployment’. We argue that the use of chatbot technology can not only help tutors develop online education and teaching materials but may also improve the quality of educational services during and after the COVID-19 pandemic. A number of recommendations and further work suggested by domain experts have also been highlighted in this paper in order to improve our prototype further.
| Item Type: | Conference Item (Paper) | ||||||||
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| Subjects: | L Education > LB Theory and practice of education | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Artificial intelligence -- Educational applications, Intelligent agents (Computer software), Education -- Data processing, Intelligent tutoring systems, Education -- Computer-assisted instruction, Programming languages (Electronic computers) -- Computer-assisted instruction | ||||||||
| Publisher: | Association for Computing Machinery | ||||||||
| ISBN: | 9781450387187 | ||||||||
| Book Title: | 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E) | ||||||||
| Official Date: | 14 January 2022 | ||||||||
| Dates: |
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| Page Range: | pp. 24-29 | ||||||||
| DOI: | 10.1145/3514262.3514289 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in In: IC4E 2022: 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E), Tokyo, Japan, 14-17 Jan 2022 pp. 24-29. ISBN 9781450387187. http://doi.acm.org/10.1145/3514262.3514289 | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 25 April 2022 | ||||||||
| Date of first compliant Open Access: | 26 April 2022 | ||||||||
| Conference Paper Type: | Paper | ||||||||
| Title of Event: | IC4E 2022: 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning (IC4E) | ||||||||
| Type of Event: | Conference | ||||||||
| Location of Event: | Tokyo, Japan | ||||||||
| Date(s) of Event: | 14-17 Jan 2022 |
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