Technology Acceptance Model in M-learning context: A systematic review

By Mostafa Al-Emran, V. Mezhuyev, Adzhar Kamaludin. Comput. Educ., 2018

583 citations recorded by the source corpus.

Abstract Various review studies were conducted to provide valuable insights into the current research trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be investigated from further directions. It has been noticed that research overlooks the investigation of TAM with regard to Mobile learning (M-learning) studies from the standpoint of different perspectives. The present study systematically reviews and synthesizes the TAM studies related to M-learning aiming to provide a comprehensive analysis of 87 research articles from 2006 to 2018. The main findings include that most of the TAM studies involving M-learning focused on extending the TAM with external variables, followed by the studies that extended the model by factors from other theories/models. In addition, the main research problem that was frequently tackled among all the analyzed studies was to examine the acceptance of M-learning among students. Moreover, questionnaire surveys were the primarily relied research methods for data collection. Additionally, most of the analyzed studies were undertaken in Taiwan, this is followed by Spain, China, and Malaysia, respectively among the other countries. Besides, most of the analyzed studies were frequently conducted in humanities and educational context, followed by IT and computer science context, respectively among the other contexts. Most of the analyzed studies were carried out in the higher educational settings. To that end, the findings of this review study provide an insight into the current trend of TAM research involving M-learning studies and form an essential reference for scholars in the M-learning context.

Subfields: Education, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3203f30e5482ab8b6a85928aa3e4369bbed99477

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Said A. Salloum
2. Ibrahim Arpaci
3. Mostafa Al-Emran
4. Akhmad Habibi

In Information Systems and Management

1. Said A. Salloum
2. Ibrahim Arpaci
3. Mostafa Al-Emran
4. Ahmad Qasim Mohammad Alhamad
5. Ahmad Samed Al-Adwan
6. Ghazanfar Ali Abbasi
7. Azza R Abdel Monem
8. Khaled Shaalan

In Sociology and Political Science

1. Mostafa Al-Emran
2. Said A. Salloum
3. Ibrahim Arpaci
4. Ahmad Samed Al-Adwan
5. Khaled Shaalan
6. M. D. Rahiem

Citations in the corpus

• Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model (2019, background): “These are the same procedures followed by the previous studies for conducting similar research [17], [25].”
• “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “In particular, the TAM has witnessed an increased level of use by scholars for the purpose of predicting learners’ acceptance of learning technologies (Shen et al., 2022; Al-Adwan, 2020; Al-Emran et al., 2018).”
• An empirical examination of continuous intention to use m-learning: An integrated model (2020, methodology): “The quantitative approach has become a dominant technique in technology adoption research (Al-Emran et al. 2018b).”