TY - GEN
T1 - Conceptualizing Technology-Enhanced Learning Constructs
T2 - Science and Information Conference, SAI 2020
AU - Rahmah, Amalia
AU - Santoso, Harry B.
AU - Hasibuan, Zainal A.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Automated content analysis
KW - Key terms
KW - Leximancer
KW - Quantitative and qualitative analysis
KW - Technology-enhanced learning concept
KW - Trustworthiness
UR - http://www.scopus.com/inward/record.url?scp=85088511110&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-52249-0_50
DO - 10.1007/978-3-030-52249-0_50
M3 - Conference contribution
AN - SCOPUS:85088511110
SN - 9783030522483
T3 - Advances in Intelligent Systems and Computing
SP - 746
EP - 759
BT - Intelligent Computing - Proceedings of the 2020 Computing Conference
A2 - Arai, Kohei
A2 - Kapoor, Supriya
A2 - Bhatia, Rahul
PB - Springer
Y2 - 16 July 2020 through 17 July 2020
ER -