Conceptualizing Technology-Enhanced Learning Constructs: A Journey of Seeking Knowledge Using Literature-Based Discovery

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Successful implementation remains a challenge as technology-enhanced learning (TEL) continues to progress. Therefore, it is necessary to develop a TEL maturity model as an assessment method and improvement roadmap. Recalling the analogy standing on the shoulders of giants, it emphasizes that we should build a model on previously established knowledge in literatures. Nonetheless, this resolution is followed by several challenges. They include the scope of discussion, purposive review, subjectivity, interpretable result, and trustworthiness. Thus, we set out the research objective on determining TEL maturity constructs using a literature-based knowledge discovery. This study uses content analysis as a technique to process the literatures, covering 548 research papers from 12 repositories. As an approach to building constructs and resolve the challenges as mentioned earlier, this study discusses how to set a research direction and uses Leximancer to improve the trustworthiness for both the analysis process and results. We then interpret the results to build a TEL maturity model constructs.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2020 Computing Conference
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
Pages746-759
Number of pages14
ISBN (Print)9783030522483
DOIs
Publication statusPublished - 2020
EventScience and Information Conference, SAI 2020 - London, United Kingdom
Duration: 16 Jul 202017 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1228 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceScience and Information Conference, SAI 2020
CountryUnited Kingdom
CityLondon
Period16/07/2017/07/20

Keywords

  • Automated content analysis
  • Key terms
  • Leximancer
  • Quantitative and qualitative analysis
  • Technology-enhanced learning concept
  • Trustworthiness

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