Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105491
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dc.contributorDepartment of Computing-
dc.creatorChan, HCBen_US
dc.creatorFung, TTen_US
dc.date.accessioned2024-04-15T07:34:40Z-
dc.date.available2024-04-15T07:34:40Z-
dc.identifier.isbn978-1-7281-6942-2 (Electronic)en_US
dc.identifier.isbn978-1-7281-6943-9 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105491-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2020 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.en_US
dc.rightsThe following publication H. C. B. Chan and T. T. Fung, "Enhancing Student Learning Through Mobile Learning Groups," 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, 2020, pp. 99-105 is available at https://doi.org/10.1109/TALE48869.2020.9368416.en_US
dc.subjectAIen_US
dc.subjectChatboten_US
dc.subjectE-learningen_US
dc.subjectMobile learningen_US
dc.subjectOERen_US
dc.titleEnhancing student learning through mobile learning groupsen_US
dc.typeConference Paperen_US
dc.identifier.spage99en_US
dc.identifier.epage105en_US
dc.identifier.doi10.1109/TALE48869.2020.9368416en_US
dcterms.abstractWith the advent of mobile phones, particularly smartphones, there has been consideration interest in mobile e-learning. In particular, mobile phones provide an effective channel to complement existing channels to enhance the student learning experience. Coupled with artificial intelligence (e.g., chatbot), more innovative learning functions can be provided. In this paper, we make two contributions to the aforementioned development. First, we present an innovative AI5 model with five important learning elements: Inception, Interest, Instruction, Information and Inspiration, to facilitate mobile collaborative learning. Second, we present a mobile app prototype for students to form mobile learning groups. In each learning group, students can interact with one another and with a chatbot. Furthermore, the mobile app can facilitate the sharing of open educational resources.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 8-11 December 2020, Online, p. 99-105en_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85102975861-
dc.relation.conferenceIEEE International Conference on Teaching, Assessment, and Learning for Engineering [TALE]-
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0156-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyUen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS52987826-
dc.description.oaCategoryGreen (AAM)en_US
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