Intention to Continue Adopting Online Problem-Based Learning After the COVID-19 Pandemic: Perception Analysis Using a Structural Equation Modelling Approach

K. Chew, Shazrina Ahmad Razali, Norman Chawau, Wei Tan, Afina Alfian, Syarmeelah Chandra Shekar
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Abstract

Due to the COVID-19 pandemic, conventional face-to-face problem-based learning (PBL) had to be transitioned into online PBL. However, it was largely unknown how likely would medical students continue to adopt this form of hastily implemented remote learning solution after the pandemic ends. Using a two-stage partial least squares structural equation modelling approach, a study was conducted to develop a set of questionnaires to measure this intention and determine the influence of perceived benefits (5 items) and perceived ease of use (7 items) on the behavioural intention to continue adopting online PBL. The technology acceptance model was adopted as the conceptual framework of this study. Environment factors (11 items derived from PEST analysis, where P = policy, E = economic, S = social, and T = technology factors) were incorporated as the third independent construct in our model. A total of 149 Year 2 medical students participated in this study. Overall, the mean score for behavioural intention to continue adopting online PBL was 3.42 out of 5 (where 1 = most unlikely and 5 = most likely). Only the construct perceived ease of use had significant influence on the behavioural intention to continue adopting online PBL (path coefficient standardised β = 0.312; t-statistics = 2.960; p = 0.003). Perceived benefits and environment factors were not shown to have significant influence. In conclusion, as no strong intention to continue adopting online PBL was demonstrated in this study, conventional face-to-face PBL should be resumed until clear benefits of a carefully designed online PBL can be demonstrated.
COVID-19大流行后继续采用基于问题的在线学习的意图:使用结构方程建模方法的感知分析
由于COVID-19大流行,传统的面对面基于问题的学习(PBL)必须转变为在线PBL。然而,在大流行结束后,医学生继续采用这种匆忙实施的远程学习解决方案的可能性有多大,这在很大程度上是未知的。采用两阶段偏最小二乘结构方程建模方法,研究开发了一套问卷来衡量这种意愿,并确定感知利益(5项)和感知易用性(7项)对继续采用在线PBL的行为意愿的影响。采用技术接受模型作为本研究的概念框架。环境因素(来自PEST分析的11个项目,其中P =政策,E =经济,S =社会,T =技术因素)被纳入我们模型中的第三个独立结构。共有149名二年级医学生参与本研究。总体而言,继续采用在线PBL的行为意愿的平均得分为3.42分(其中1 =最不可能,5 =最可能)。只有结构感知易用性对继续使用在线PBL的行为意愿有显著影响(路径系数标准化β = 0.312;T-statistics = 2.960;P = 0.003)。感知效益和环境因素没有显示出显著的影响。总之,由于在本研究中没有表现出继续采用在线PBL的强烈意愿,因此应该恢复传统的面对面PBL,直到能够证明精心设计的在线PBL的明显好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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