Role of Design Attributes to Determine the Intention to Use Online Learning via Cognitive Beliefs

Abstract

Online learning is the most widely used application in educational institutions, specifically during pandemic COVID-19. Shortcomings in online learning systems negatively impact learner's attitude and intention to use. Specifically, poor interface design can create a cognitive load that ultimately affects the learner's intention to use. The design factors that could be convenient, useful, and trustworthy in an online learning context are an emerging challenge and the primary purpose behind this research. So, in this research, the effect of different design attributes (interaction, information, navigation, visual) have been examined on learners' cognitive beliefs (ease of use, usefulness), trust, and finally on intention to use. Different hypotheses have been formulated to analyze this concept. In this research, a model Design Artifacts Cognitive Beliefs Trust and Intention to use (DCTI) is proposed to evaluate the learner's intention to use an online learning environment. Data has been collected from the students at different Universities of Punjab, Pakistan, using questionnaire embedded in an online learning prototype. PLS-SEM method was used for data analysis using the tool SmartPLS3. The findings show that among observed design attributes, interaction, information, and visual design have a significant effect on learner's cognitive beliefs as a predictor, navigation has a partial effect. Further, cognitive beliefs have a significant effect on trust. Finally, the learner's intention to use towards an online learning environment is significantly affected by trust.

A Framework of E-Learning Challenges During Covid-19 in Higher Education Insinuations of Pakistan

“…Facilitating condition (Alturki, et al, 2022) Student Perception of mobile use during covid-19 TAM Student satisfaction (Aloulou, et al, 2022) eLearning system in higher education of UAE in covid-19 TAM Instructor reediness A case study of distance learning UTAUT Cost Actual use of eLearning in KSA during covid D&M System Quality (Al-Rahmi, et al, 2021) Factors Influencing eLearning in Malaysia IDT Complexity The willingness of instructors to use cloud base learning in covid-19 TAM Social Influence Perception of Student eLearning in covid TAM Covid-19 (Raza, et al, 2021) Social isolation and covid fear influenced eLearning in Pakistan UTAUT Covid-19 Fear (Younas, et al, 2021) Effect of design issue on Learners to Use eLearning TAM Application complexity Effect of Cost on eLearning Acceptance TRA Cost…”