Evaluation of Mobile Learning Framework

International Journal of Research and Innovation in Social Science (IJRISS) | Volume VI, Issue I, January 2022 | ISSN 2454–6186

 Evaluation of Mobile Learning Framework

Yahaya Garba Shawai¹, Mohamed Afendee Mohamed², Mohammed Amin Almaiah³, Fatima Gambo Abdullahi^4
1National Open University of Nigeria
²Faculty of informatics, University Sultan Zainal Abidin, Malaysia
³Assistant Professor, Department of Computer Science, King Faisal University (KFU), Saudi Arabia
⁴Department of Education, Aminu College of Legal Studies, Kano. Nigeria

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.

Keywords: GUMSA Framework, Respondents, Mobile Learning, Evaluation.

Introduction

Frameworks are conceptual structures that serve as supporting factors that assist in building a useful thing. In terms of computers, the Framework can be viewed as a layered structure that highlights the built programs and how they are interconnected. Most computer frameworks and mobile frameworks include actual programs and programming interfaces. Mobile applications are created through some frameworks for purposes such as education, health systems, online booking, banking systems, and forensic investigation. The present study focuses more on education and learning systems. In 2017, [7] developed the Ego SENSE framework, which was used to build a personal health monitoring android application to detect the health conditions of a mobile user. Similarly, [25] proposed a framework that would lead to investigation by achieving the target with evidence classification. Furthermore, much research based on mobile learning frameworks is already in existence [5, 4, and 27]. These frameworks are used in the development of mobile learning applications, allowing users to learn from their mobile devices regardless of location or time.

In 2015, [27] developed a mobile learning framework that used contactless technology known as Near Field Communication (NFC). In addition, [26] revealed that the use of NFC technology would encourage teaching and learning procedures as it appears to be a game like environment. The proposed framework was generated by modifying the two joined existing frameworks produced by [9, 22]. Despite the fact that Nordin’s system was produced by modifying the framework developed by [3]. In 2010, [22] suggested four components of a framework generated by [9] that needed to be incorporated into mobile learning frameworks. However, [27] thought that altering Nordin’s Framework by incorporating the four components stated earlier would produce a standard mobile learning framework. These added components are: requirement and constraint analysis; technological environment design; mobile learning scenarios; and learning support services. The researcher thought that it was a good idea to validate or evaluate the proposed framework known as GUMSA, which was illustrated in Figure 1.
Evaluation is a systematic determination of a subject’s merit, worth, and significance using criteria governed by a set of standards. It assists the designer or programmer to assess any aim and helps in decision making. The present study aims to evaluate the GUMSA Mobile Learning Framework based on expert perception. A survey was carried out by the two (2) universities in Terengganu, Malaysia. The researcher searched for experts in the field of mobile learning and e-learning at both the University Sultan Zainal Abidin (UNISZA) and the University Malaysia Terengganu (UMT) at the Faculty of Mathematics and Computing. An expert evaluation form was developed and distributed to the generated sample size. The respondents were given enough time to study the framework, and they gave their perception by ticking the right options in the evaluation form or research instruments. In 2010, [22] mentioned that the use of structured questions and predetermined response options should be involved in quantitative research. The generated data was further analyzed with IBM SPSS version 23 software. The result further explained the effectiveness of added features to the Lifelong mobile learning framework, which yields the proposed GUMSA mobile learning framework. Paper Organization: The research is classified into a series of sections. Most of these sections are embedded with corresponding sub-sections. The introduction was the first section that was presented with no sub-section under it. Section 2 discussed related works, which explained the previous related research and also highlighted the drawbacks of the respective research works. Section 3 presents the research method with at least six (6) sub-sections, namely: Target Population; Sample Size; Research Instrument; Pilot Study; Procedure of Data Collection; Method of Data Analysis. Section 4 explains the result and discusses the outcome of the research by challenging the previous results of some research publications in the same area. Section 5 summarizes the overall paper, the contribution of the present research, and makes recommendations for future work. Finally, references and researcher (s) bio-data were presented.

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