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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      02 June 2023, Volume 38 Issue 3
    Article

    INVESTIGATING UNDERGRADUATE STUDENTS' ATTITUDES AND SELF-EFFICACY OF MOBILE LEARNING AT SAUDI UNIVERSITIES
    Salah M. Ali1*, Kamariah Yunus2, Taya Mustafa3, Taleb Mohana4
    Journal of Data Acquisition and Processing, 2023, 38 (3): 3215-3239 . 

    Abstract

    According to previous research, computers and the Internet play crucial roles in students' adoption and utilization of new information technology. Due to the accelerated development of mobile technology in recent years in Saudi Arabia, mobile learning (m-learning) has become a popular topic. However, little is known about the attitudes and self-efficacy of language learners regarding the use of mobile devices, especially in the Saudi context. Using task-based instruction, this study aimed to investigate undergraduate students' attitudes and self-efficacy regarding the use of mobile learning devices in a language class. The study's sample consisted of 79 undergraduate students at two Saudi universities who used mobile devices for m-learning to complete designated tasks in an English class. As per the study's findings, most students experienced an augmented drive to learn English through m-learning. They also opined favorably about this aptitude for acquiring knowledge. The conclusions carry substantial implications for upcoming research inquiries and its practical applicability concerning m-learning.

    Keyword

    computer, self-efficacy, m-learning, language learning, task-based approach


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ISSN 1004-9037

         

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