EXPLORING A TRICOMPONENT ATTITUDE MODEL FOR THE APPLICATION OF “FORCED” ONLINE LEARNING IN THE POST-COVID ERA

Lingling Wong, Ying Ying Tiong, Poh Kiong Tee, B. Chan
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Abstract

Purpose – The present study explores a tricomponent attitude model for “forced” online learning applied in the post-Covid era following the online learning transition. The study aims to provide a reference for future practitioners in the event a similar crisis results in the mandatory transition towards this study mode again. Methodology – Following the guideline for judgmental sampling, a total of 156 valid responses were collected from Malaysian undergraduate students via an online questionnaire from Google Forms. The respondents’ profiles were computed using the Statistical Package for the Social Sciences (SPSS) version 21.0, while Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to validate the measurement model, structural model, and mediation model for hypothesis testing. Findings – The findings demonstrate that perceived usefulness (PU) is insignificant when online learning is the only feasiblelearning strategy. Technical system quality (TSQ) was found to be positively related to perceived ease of use (PEU), attitude (ATT),and student satisfaction, while quality of content (QC) was found to be positively related to PEU and student satisfaction. The remaining hypotheses were rejected. These findings are expected to transform various student attitude, leading to the cognitive components of PEU and PU and ultimately contributing to student satisfaction. In line with the government’s desire to transform digital education in higher education, TSQ and QC constitute a framework for shaping the affective components of students’ attitude. Attitude, in turn, drives students’ PEU and PU, which are two critical factors of the Technology Acceptance Model that serve as the main determinants of student satisfaction. Significance – The study demonstrates that instructors can use a variety of strategies to increase student satisfaction with onlineeducation, which can be beneficial even in the post-Covid era. The findings can aid education providers in implementing necessarychanges to improve online learning for their students in the future. In addition, the study reveals that through the pandemic, studentshave become more resilient and have begun to value online learning, highlighting the importance of considering the long-term effects of online learning on student satisfaction.
探索后疫情时代“强制”在线学习应用的三分量态度模型
目的:本研究探讨了在在线学习转型后的后covid时代应用的“强制”在线学习的三分量态度模型。本研究旨在为未来的从业者在发生类似危机导致强制向这种研究模式再次过渡时提供参考。方法-遵循判断抽样的指导方针,通过谷歌表格的在线问卷调查,从马来西亚本科生中收集了156份有效回复。采用SPSS 21.0版统计软件计算被调查者的个人资料,采用偏最小二乘结构方程模型(PLS-SEM)对测量模型、结构模型和中介模型进行假设检验。研究结果-研究结果表明,当在线学习是唯一可行的学习策略时,感知有用性(PU)是微不足道的。技术系统品质(TSQ)与感知易用性(PEU)、态度(ATT)及学生满意度正相关,而内容品质(QC)与感知易用性(PEU)及学生满意度正相关。其余的假设被拒绝。这些发现有望改变学生的各种态度,导致PEU和PU的认知成分,并最终促进学生满意度。为了配合政府在高等教育中转变数字教育的愿望,TSQ和QC构成了一个框架,用于塑造学生态度的情感成分。反过来,态度驱动学生的PEU和PU,这是技术接受模型的两个关键因素,是学生满意度的主要决定因素。意义——研究表明,教师可以使用各种策略来提高学生对在线教育的满意度,即使在后新冠时代,这也可能是有益的。这些发现可以帮助教育提供者实施必要的改变,以改善未来学生的在线学习。此外,研究显示,在疫情期间,学生变得更有弹性,并开始重视在线学习,这凸显了考虑在线学习对学生满意度的长期影响的重要性。
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