Leveraging Technology Enhancement: The Well-Being Emotional Intelligence, Security Keys to the University Students’ Readiness in Digital Learning Ecosystem

Heru Susanto, Desi Setiana (), Norainna Besar, Muhamad Najib Ali, Alifya Kayla Shafa Susanto, Rozaidin Seruddin and Fahmi Ibrahim
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Heru Susanto: Cyber Security Research Group, Center for International Research Collaboration of Graph Theory and Combinatorics, BRIN (National Research and Innovation Agency), Indonesia, UTB (University of Technology Brunei), Brunei Darussalam, ITB (Institute of Technology Bandung), Indonesia, UI (University of Indonesia), Indonesia, THU (Tunghai University), Bandar Seri Begawan BE1410, Brunei
Desi Setiana: Digital Psychology Research Group, Institute of Brunei Studies, University Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei
Norainna Besar: Digital Psychology Research Group, Institute of Brunei Studies, University Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei
Muhamad Najib Ali: Center for Innovative Engineering, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei
Alifya Kayla Shafa Susanto: Center for Innovative Engineering, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei
Rozaidin Seruddin: School of Business, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei
Fahmi Ibrahim: School of Business, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei

Sustainability, 2024, vol. 16, issue 9, 1-31

Abstract: The principle of the digital learning ecosystem is the application of the educational process through digital learning environment platforms that help users learn more effectively. Educational institutions, teachers and students must evolve to adapt and be ready for the new world of learning. The individual’s emotional quality can influence their readiness in the digital learning ecosystem. This study aimed to examine whether there is a significant relationship between students’ readiness in the digital learning ecosystem and their emotional intelligence levels. This study utilized a correlational research method and multiple linear regression analysis. For data collection, the primary tools used were Trait Emotional Intelligence Scale-Short Form (TEIS-SF) and the Online Learning Readiness Scale (OLRS). The questionnaires were administered to 103 students enrolled in seven different higher institutions in Brunei. The results of the research showed that there was a link between students’ online learning readiness levels and their emotional intelligence levels. This study found that students with a high well-being sub-dimension of emotional intelligence had high online learning readiness levels.

Keywords: digital learning ecosystem; emotional intelligence; online learning readiness; TEIS-SF; OLRS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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