Leveraging Technology Enhancement: The Well-Being Emotional Intelligence, Security Keys to the University Students’ Readiness in Digital Learning Ecosystem-Reference-Cited by-同舟云学术

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

Published:2024-04-30 Issue:9 Volume:16 Page:3765
ISSN:2071-1050
Container-title:Sustainability
language:en
Short-container-title:Sustainability

Author:

Susanto Heru¹²³^ORCID,Setiana Desi⁴⁵,Besar Norainna⁴^ORCID,Najib Ali Muhamad²³,Susanto Alifya Kayla Shafa²³,Seruddin Rozaidin³,Ibrahim Fahmi³

Affiliation:

1. 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

2. Center for Innovative Engineering, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei

3. School of Business, University Technology Brunei, Bandar Seri Begawan BE1410, Brunei

4. Digital Psychology Research Group, Institute of Brunei Studies, University Brunei Darussalam, Bandar Seri Begawan BE1410, Brunei

5. The Southern Correctional Center, BAPAS Jakarta Selatan, Ministry of Law and Human Rights, Jakarta 12940, Indonesia

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.

Funder

Universiti Teknologi Brunei (UTB) Internal Grant

Publisher

MDPI AG

Link

https://www.mdpi.com/2071-1050/16/9/3765/pdf

Reference97 articles.

1. E-Learning Security Risks and its Countermeasures;Kerti;J. Emerg. Res. Solut. ICT,2016

2. Bates, A.W. (2005). Technology, E-Learning and Distance Education, Routledge Falmer. [2nd ed.].

3. Connectivism learning activity in ubiquitous learning environment by using IoE for digital native;Sarnok;Veridian E-J. Silpakorn Univ. (Humanit. Soc. Sci. Arts),2018

4. Digital learning ecosystem by using digital storytelling for teacher profession students;Sarnok;Int. J. Inf. Educ. Technol.,2019

5. Valentine, A., Gemin, B., Vashaw, L., Watson, J., Harrington, C., and LeBlanc, E. (2019). Digital Learning in Rural K–12 Settings: A Survey of Challenges and Progress in the United States, IGI Global.