The effect of considering individual learning processes when creating online learning environments: A comparison of offline and online content materials

Cheng Wang, P. W.C. Prasad, Angelika Maag, Abeer Alsadoon, A. Elchouemi, Sasikumaran Sreedharan

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

For long, online learning has received criticism on not being able to provide helpful insight on students' learning, for a lack of necessary and appropriate interaction between instructor and students. Despite the fact that learning analytics (LA) are on the rise in terms of their popularity in academic institutions, the usefulness of LA come into question, especially the elements intended to provide effective feedbacks on students' learning process. The main problem for this seems to be a lack of analysis of the characteristics of individuals. Therefore, more needs to be done to actually help students' learning process. The study aims to produce a significant body data by analyzing the content available in online learning environments using Bloom's Taxonomy. Initial results show that most content found in online learning environments consist of offline learning material that was transferred to online learning platforms by taking very limited advantage of the resources of the Internet. It is hypothesized that in this study learning content in online environments do not support learners efficiently transfer to higher cognitive levels described in Bloom's taxonomy.
Original languageEnglish
Title of host publicationProceedings of TENSYMP 2017
Subtitle of host publicationIEEE International Symposium on Technologies for Smart Cities
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781509062553
DOIs
Publication statusPublished - 19 Oct 2017
Event2017 IEEE International Symposium on Technologies for Smart Cities : TENSYMP 2017 - Le Meridien, Cochin, Kerala, India
Duration: 14 Jul 201716 Jul 2017
https://tensymp2017.org/ (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8062174 (Conference proceedings)

Conference

Conference2017 IEEE International Symposium on Technologies for Smart Cities
Abbreviated titleTechnologies for Smart Cities
Country/TerritoryIndia
CityCochin, Kerala
Period14/07/1716/07/17
Internet address

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