Enhancing student learning through mobile learning groups

Henry C.B. Chan, Tsui Tze Fung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

With 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.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
EditorsHiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Leon Chi-Un Lei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-105
Number of pages7
ISBN (Electronic)9781728169422
DOIs
Publication statusPublished - 8 Dec 2020
Event2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 - Virtual, Takamatsu, Japan
Duration: 8 Dec 202011 Dec 2020

Publication series

NameProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020

Conference

Conference2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
Country/TerritoryJapan
CityVirtual, Takamatsu
Period8/12/2011/12/20

Keywords

  • AI
  • Chatbot
  • E-learning
  • Mobile learning
  • OER

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Media Technology
  • Education

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