Evaluation of Mobile Learning Framework

Yahaya Garba Shawai, Mohamed Afendee Mohamed, Mohammed Amin Almaiah and Fatima Gambo Abdullahi
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Yahaya Garba Shawai: National Open University of Nigeria
Mohamed Afendee Mohamed: Faculty of informatics, University Sultan Zainal Abidin, Malaysia
Mohammed Amin Almaiah: Assistant Professor, Department of Computer Science, King Faisal University (KFU), Saudi Arabia
Fatima Gambo Abdullahi: Department of Education, Aminu College of Legal Studies, Kano. Nigeria

International Journal of Research and Innovation in Social Science, 2022, vol. 6, issue 1, 791-799

Abstract: This paper presents the effectiveness of using the GUMSA framework in developing a Malay language mobile learning system (M-Lang) using Near Field Communication (NFC) technology as an additional tool to traditional Malay language learning. A quantitative analysis was carried out to test its effectiveness with stratified random sampling as the method. Experts with research interests in e-learning and mobile learning at both Sultan Zainal Abidin University and University Malaysia Terengganu are considered the target populations. In both universities, seven respondents were considered the sample size. An evaluation form was used as the research instrument, and IBM SPSS version 22 as the tool for data analysis. The analysis yielded a positive result: 7 respondents believed that the added feature to the lifelong mobile learning framework was relevant to the development of the M-Lang system. 6 Respondents believe that all the connections and flows of the elements are logical and that the framework may be usable and practicable for the development of mobile learning systems.

Date: 2022
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