Technology Acceptance and Adoption in Education

Abstract

The chapter provides a comprehensive and up-to-date insight into main research findings in the area of educational technology acceptance, adoption, and usage. Over the past decades, a variety of theoretical perspectives have been advanced to provide an understanding of the determinants of adoption of various technologies used to support the process of knowledge transfer and acquisition. Although some prominent theoretical approaches in educational contexts include Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), as well as Motivational Model (MM), research reveals the Technology Acceptance Model (TAM) as the most influential model and leading scientific paradigm in investigating acceptance of educational technology by students, teachers, and other stakeholders. Aiming to increase their predictive validity, in numerous empirical studies, models have been extended with different predictive factors, like the most often validated self-efficacy, subjective norm, perceived enjoyment, perceived playfulness, anxiety, social influence, system quality, and facilitating conditions. Research revealed electronic learning (e-learning) as the most common validated mode of delivery, followed by mobile learning (m-learning), learning management system (LMS), personal learning environment (PLE), and massive open online course (MOOC), along with different supportive facilitating technologies used in education such as social media platforms, teaching assistant robots, simulators, as well as virtual reality (VR) and augmented reality (AR) technologies. To enhance explanatory power, new developments in educational technology acceptance and adoption have suggested the need of integration of TAM and UTAUT with other contributing adoption and post-adoption theories and models, together with several established approaches from other fields.

Data Governance for Data Sharing: Why Is It So Hard?

“…The third group complement theoretical perspectives with original proposed information system continuance theory, like TAM, UTAUT, Flow Theory, etc. (Franque et al, 2020;Larsen et al, 2009;Granić, 2022). This research work belonging to the third group of ELIS extends the original theory with new perspectives and applies ELIS to different social contexts, like e-learning 2.0, mobile learning, and game-based learning (Liu et al, 2020;Prieto, 2014;Wu & Zhang, 2014).…”

“…The research in ISCI has grown exponentially in the last two decades, and more than 152 papers are related to ISCI studies (Franque et al, 2020). Researchers identified ISCI by acceptance theories, such as innovation diffusion theory (IDT), motivational model (MM), technology acceptance model (TAM), and the unified theory of acceptance and use of technology (UTAUT and UTAUT2) to predict the intention to use (Franque et al, 2020;Granić, 2022). Most studies of continuous use target the continuous use of e-learning information systems (ELIS).…”

“…Previous research shows that a lot of factors have significant impact on user's continuance to use e-learning systems, such as self-efficacy, social influence, system quality, etc. (Granić, 2022)…”

Navigating the Future: Exploring AI Adoption in Chinese Higher Education Through the Lens of Diffusion Theory

“…Their attitudes towards technology, proficiency in using it, and willingness to assist students in learning to use it can significantly influence students' adoption decisions (Lu et al, 2023;McConnell et al, 2020;Miah et al, 2023). Instructors can act as role models, demonstrating the benefits of technology and providing support and guidance to students as they learn to use it (Granić, 2022b;Lu et al, 2023). The university environment, including its culture, infrastructure, and policies, can also impact technology adoption.…”

Perceptions of the use of IsiZulu Termbank Technology at University of KwaZulu-Natal.

“…As stated in the problem statement, five questions will be investigated. Technology adoption refers to the acceptance, utilization, and usage of technology in society (Granić, 2022b). In other words, when introducing a new system, it is important to remember that not all users of that system are created equal.…”