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    ARTICLE

    Evaluating and Ranking Mobile Learning Factors Using a Multi-criterion Decision-making (MCDM) Approach

    Quadri Noorulhasan Naveed1, Ali M. Aseere1, AbdulHafeez Muhammad2, Saiful Islam3, Mohamed Rafik N. Qureshi3, Ansar Siddique4,*, Mohammad Rashid Hussain1, Samreen Shahwar5

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 111-129, 2021, DOI:10.32604/iasc.2021.015009

    Abstract The escalating growth in digital technology is setting the stage for changes in university education, as E-learning brings students and faculties outside the contained classroom environment. While mobile learning is considered an emerging technology, there is comprehensive literature on mobile learning and its applications. However, there has been relatively little research on mobile learning recognition and readiness compared to mobile learning studies and implementations. The advent of mobile learning (M-learning) provides additional flexibility in terms of time and location. M-learning lacks an established place in university education. The influence of its critical success factors (CSFs) on the university education system… More >

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