A New Technological Model on Investigating the Utilization of Mobile Learning Applications: Extending the TAM

Author:

Shishakly Rima1,Almaiah Mohammed Amin234ORCID,Al-Otaibi Shaha5,Lutfi Abdalwali67ORCID,Alrawad Mahmaod6ORCID,Almulhem Ahmed8

Affiliation:

1. Management Department, College of Business Administration, Ajman University, Ajman 346, United Arab Emirates

2. Department of Computer Science, Aqaba University of Technology, Aqaba 11947, Jordan

3. King Abdullah the II IT School, The University of Jordan, Amman 11942, Jordan

4. Fellowship Researcher, INTI International University, Nilai 71800, Malaysia

5. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

6. College of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia

7. Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan

8. College of Education, King Faisal University, Al-Ahsa 31982, Saudi Arabia

Abstract

Mobile learning has become increasingly important for higher education due to its numerous advantages and transformative potential. The aim of this study is to investigate how students perceive and utilize mobile learning (m-learning) services in universities. To achieve this objective, a conceptual model was developed, combining the TAM with additional new determinants, including perceived security, perceived trust, perceived risk, and service quality. The primary goal of this model is to assess the adoption of m-learning apps among users in university settings. To evaluate the proposed model, SEM was utilized to test the research model. The findings of the study highlight the critical roles of perceived security, perceived trust, and service quality in promoting the adoption of m-learning apps. Moreover, the results indicate that perceived risk negatively impacts both students’ trust and their attitudes towards using mobile learning services. The study reveals that the perceived trust, and service quality factors positively influence students’ attitudes towards adopting m-learning apps. These research findings hold significant implications for universities and academia, offering valuable insights to devise effective strategies for increasing the utilization of m- learning services among students. By gaining a deeper understanding of students’ perceptions and acceptance, universities can optimize their m-learning offerings to cater to students’ needs and preferences more effectively.

Funder

Annual Funding track by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia

Publisher

MDPI AG

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)

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