File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Evaluation of Developing Educational Chatbots Based on the Seven Principles for Good Teaching

TitleEvaluation of Developing Educational Chatbots Based on the Seven Principles for Good Teaching
Authors
Gonda, DEVLuo, JWong, YLLei, CU
Keywordsagile framework
chatbot
crime investigation
higher education
teaching principle
Issue Date2018
PublisherI E E E. The Journal's web site is located at http://tale-conference.org/TALE_past-conferences.php
Citation
Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Wollongong, NSW, Australia, 4-7 December 2018, p. 446-453 How to Cite?
DOI: http://dx.doi.org/10.1109/TALE.2018.8615175
AbstractThe use of chatbot, in general, is gaining popularity in several sectors. However, in the education field, chatbot as a learning tool to improve the teaching is still in its infancy. The course team developed several chatbot prototypes using Agile Software Development. This study evaluated the educational appropriateness of chatbot using Chickering and Gamson's Seven Principles for Good Teaching to improve the delivery of a group assessment in higher education. Findings showed that the use of chatbot addressed five principles in enhancing the traditional course teaching.
Persistent Identifierhttp://hdl.handle.net/10722/277194
ISSN
2374-0191

 

DC FieldValueLanguage
dc.contributor.authorGonda, DEV-
dc.contributor.authorLuo, J-
dc.contributor.authorWong, YL-
dc.contributor.authorLei, CU-
dc.date.accessioned2019-09-20T08:46:25Z-
dc.date.available2019-09-20T08:46:25Z-
dc.date.issued2018-
dc.identifier.citationProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Wollongong, NSW, Australia, 4-7 December 2018, p. 446-453-
dc.identifier.issn2374-0191-
dc.identifier.urihttp://hdl.handle.net/10722/277194-
dc.description.abstractThe use of chatbot, in general, is gaining popularity in several sectors. However, in the education field, chatbot as a learning tool to improve the teaching is still in its infancy. The course team developed several chatbot prototypes using Agile Software Development. This study evaluated the educational appropriateness of chatbot using Chickering and Gamson's Seven Principles for Good Teaching to improve the delivery of a group assessment in higher education. Findings showed that the use of chatbot addressed five principles in enhancing the traditional course teaching.-
dc.languageeng-
dc.publisherI E E E. The Journal's web site is located at http://tale-conference.org/TALE_past-conferences.php-
dc.relation.ispartofIEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)-
dc.rightsIEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). Copyright © I E E E.-
dc.rights©2018 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.subjectagile framework-
dc.subjectchatbot-
dc.subjectcrime investigation-
dc.subjecthigher education-
dc.subjectteaching principle-
dc.titleEvaluation of Developing Educational Chatbots Based on the Seven Principles for Good Teaching-
dc.typeConference_Paper-
dc.identifier.emailGonda, DEV: dgonda@HKUCC-COM.hku.hk-
dc.identifier.emailLuo, J: crystal9@hku.hk-
dc.identifier.emailWong, YL: vylwong@hku.hk-
dc.identifier.emailLei, CU: culei@hku.hk-
dc.identifier.authorityLei, CU=rp01908-
dc.identifier.doi10.1109/TALE.2018.8615175-
dc.identifier.scopuseid_2-s2.0-85062088792-
dc.identifier.hkuros305585-
dc.identifier.spage446-
dc.identifier.epage453-
dc.publisher.placeUnited States-
dc.identifier.issnl2374-0191-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats