E-Learning & M-Learning: Acceptance Technology Models Review Report

This report provides a comprehensive review of technology acceptance models, focusing on their application within interaction design, particularly in the context of e-learning and m-learning. It begins by introducing the concept of acceptance technology models and their role in understanding user adoption of new technologies. The report then delves into eight prominent models: TRA, TAM, TPB, MM, MPCU, SCT, IDT, and UTAUT, comparing their structures and identifying common factors. The core of the report centers on the relevance of TAM and UTAUT to e-learning and m-learning, discussing the models' constructs and moderators. It highlights the importance of these models in determining the parameters that influence user acceptance of e-learning and m-learning platforms. Furthermore, the report examines the relationship between UTAUT and UTAUT2, and the role of expectation confirmation within TAM. The analysis concludes by emphasizing the need for effective educational strategies that extend beyond traditional classroom settings, and how online and mobile learning are transforming the educational landscape. Finally, the report synthesizes the insights gained to suggest a combined model for future applications.