A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use

Abstract

Massive open online courses have been regarded as effective technological innovations that improve educational systems in the era of digitalisation. However, only 10% of the registered students complete their courses. This study aims to examine the motivational and technological factors and contextual features on students’ continuous intention to use. A questionnaire was gathered from 315 of students in the UAE and revealed that social motivational and technological factors driven by the technology acceptance model and technology task fit theory significantly influenced the students’ continuance intention to use. This study also revealed that contextual features including language use and course accreditation are important indicators determining students’ behaviours toward the use. Hence, this study proposed an integrative model to explain ways to improve continuance intention to use. This study contributes to the sustainable use of massive open online courses in developing countries through an integrative model.

Enhancing Transboundary Freshwater Security: From Online Learning to Global Knowledge Exchange Platform

“…In contrast to traditional knowledge management systems, the peer-to-peer learning approach allows participants to actively and flexibly share their knowledge [30]. In developing country contexts, MOOCs bridge the educational gap among learners regardless of their socioeconomic status by providing openly accessible education with minimal or no fees [31].…”

Integrated TTF and self-determination theories in higher education: The role of actual use of the massive open online courses

“…According to Al-Rahmi et al (2021b) , the majority of respondents had positive attitudes when it came to using MOOC platforms, demonstrating that MOOCs are believed to be successful in enhancing conceptual knowledge throughout teaching-learning activities. According to previous research ( Al-shami et al, 2022 ), attitude is the most effective predictor of the desire to utilize technology. Employing a Chinese sample ( Luo et al, 2021 ), the attitude toward MOOCs and perceived behavioral control (PBC) were revealed to be important drivers of the intention to utilize them.…”

“…According to previous research (Al-shami et al, 2022), attitude is the most effective predictor of the desire to utilize technology. Employing a Chinese sample (Luo et al, 2021), the attitude toward MOOCs and perceived behavioral control (PBC) were revealed to be important drivers of the intention to utilize them.…”