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Information overload, anxiety, stress, and depression of online distance learners Masrek, Mohamad Noorman; Baharuddin, Mohammad Fazli; Jalil, Abdurrahman; Aman, Fadhilah
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i6.29009

Abstract

In the ever-expanding landscape of online education, the mental well-being of online distant learners has emerged as a critical concern. This study delves into the complex interplay between information overload, stress, anxiety, and depression among online distant learners in Malaysian universities. Using a survey research method and utilizing perceptual measures, we explored the psychological states of online distant learners in Malaysia. Based on the analysis of 384 responses, the results showed that online distant learners did not report experiencing information overload, stress, anxiety, or depression. Despite this absence, the study identified significant positive associations between information overload and stress, information overload and anxiety, as well as between stress and anxiety, and anxiety and depression. The implications of this study resonate profoundly in the realm of online education policy-making and implementation.
Teaching in the digital frontier: what drives metaverse adoption in education? Cassandra, Cadelina; Masrek, Mohamad Noorman; Aman, Fadhilah
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i5.34836

Abstract

The rapid evolution of digital technologies has caused dramatic changes in various areas, including education. Metaverse has become a very popular topic recently, many schools and university announce the development of metaverse, but until now there is no clear implementation of the idea and some schools cancelled to continue the implementation. One of the reasons behind it because of the lack of preparedness, reluctant from teachers, and there is no initial investigation about how the teachers will accept this technology. Several factors may influence the intention of the teachers. The purpose of this study is to analyze the factors that affect high school teachers’ intentions to use metaverse technology. By doing so, the institution can prepare for the real implementation. This study employs quantitative methods and survey techniques by developing a well-structured questionnaire from the theoretical framework. A total of 334 responses were collected and analyzed using SmartPLS software. The findings reveal that 14 hypotheses out of 18 hypotheses were significant and four others were not significant. Social influence (SI), performance expectancy (PE), effort expectancy (EE), and facilitating condition (FC) positively influence teachers’ behavioral intention (BI) to use metaverse applications. On the flip side, personal innovativeness (PI) does not significantly impact performance and EE. Trialability (TR) and corporeity (CR) also do not influence EE. However, hedonic motivation (HM), compatibility (CO), TR, interactivity (IN), and persistence are significant factors for performance and EE.
Evaluating metaverse platforms for educational purposes: a heuristic evaluation study Cassandra, Cadelina; Masrek, Mohamad Noorman; Aman, Fadhilah
International Journal of Advances in Applied Sciences Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i4.pp1019-1027

Abstract

This research's primary objective is to investigate the educational potential by investigating the metaverse website, emphasizing from users' perspectives. It is critical to examine the functionality to identify any potential faults in the learning experience because of the complexities of metaverse apps, which include 3D virtual environments and complex interactions. This study uses heuristic evaluation, which is a useful method for analyzing application success by utilizing well-established design principles and best practices in user interface and user experience design. To conduct this study, a panel of five experts, each with outstanding competence in the topic, was assembled to test the metaverse website in an educational setting. The evaluation was built on the ten heuristic evaluation standards, which served as a solid framework for measuring its usability and functionality. According to the findings of this examination, the average severity number of heuristic issues is one. This result indicates that the website is under "cosmetic problems only." While this implies that specific areas need to be addressed to improve overall quality, it also means that these difficulties do not take precedence over other vital ones. As a result, the website has significant promise as a metaverse instructional platform, and changes can be made to further improve its efficiency.