Usefulness of Technology Acceptance Model and Behavioral Intentions of E-learning Technologies for Teaching and Learning of Business Education Programme in Colleges of Education
Year: 2025
Type: article
Abstract: This study investigates the relevance of the Technology Acceptance Model (TAM) and behavioral intentions in the adoption of e-learning technologies for teaching and learning in Business Education programmes at Colleges of Education. This research explores the existing literature on TAM, highlighting its role in explaining how perceived ease of use and usefulness influence technology adoption. This study also examines the nature and objectives of Business Education, emphasizing how TAM applies to instructional activities by using mobile devices. Findings suggest that the evolving information landscape necessitates the effective integration of modern technology, which enhances access to updated learning resources and promotes educational development. This study concludes that lecturers must acquire the necessary competences to support students in using ICT tools for academic purposes. Regular training sessions, such as workshops and seminars, should be conducted to build lecturers’ capacity for integrating pedagogical ICT integration, including raising awareness of its instructional benefits. Moreover, this study underscores that the impact of ICT on student learning is closely tied to lecturers’ attitudes and proficiency. Since behavioral intention significantly affects actual ICT usage, fostering positive attitudes and digital literacy among lecturers is essential. These strategies are expected to improve teaching methodologies, promote effective learning, and align with the demands of 21st-century education
Authors: Balogun, Abiodun, Muftau, Dr. Ayeni, Deborah, Olufunke, Prof. Erwart, Eseza, Akiror
Institutions: Lagos State University, Lead City University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6931026759
FWCI:
Cites:
Cited by:
Related to:
