Abstract
Various new revolutions are observed with the changing face of learning paradigms in the education industry due to the impact of the global pandemic. This study reveals the intentions of students and academicians towards improving e-learning systems. The Technology Acceptance Model (TAM) is used to identify the acceptability and expected improvements by them. The model identifies certain factors and categorizes them under various hypothesis parameters. A survey was conducted to collect opinions from multiple respondents, consisting of two main parts. The initial part includes questions for academic staff (16 questions), while the second part includes 18 questions for students. The questions focus on the current e-learning system, its adaptability, and the expected improvements at the next level. The data collected can be used to assess e-learning systems and their issues. The integration of blended learning and IoT devices can improve current features. Data was collected for two months, from March to April 2023. The survey was distributed in Middle Eastern universities, and over twenty universities responded. The staff submitted 1080 responses, and approximately 740 university students participated in the second part.
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Mahafdah, R.F., Bouallegue, S., Bouallegue, R. (2024). Examining University Students and Teachers’ Behavioral Intention to Upgrade Blended Learning Using an Extended TAM Model. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_37
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