@ubd.edu.bn
Research Student, Sultan Hassanal Bolkiah Institute of Education
Universiti Brunei Darussalam
Education, Information Systems and Management, Multidisciplinary, Human-Computer Interaction
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Mussa Saidi Abubakari, Wasswa Shafik, and Ahmad Fathan Hidayatullah
IGI Global
Artificial intelligence (AI) has become enormously prominent in various industries in recent years, completely changing the way humans accomplish their daily activities, especially the educational process. While integrating AI technologies in educational settings might present new potential, there are drawbacks and challenges as well, particularly in the Islamic religious educational context. Therefore, the purpose of this chapter is to assess the viability of incorporating AI into Islamic religious educational settings by doing a thorough SWOT (strengths, weaknesses, opportunities, and threats) analysis. The chapter explores the benefits, drawbacks, opportunities, and risks of implementing AI in the context of Islamic education. Thus, the factors, both internal and external, that may have an impact on the effective integration of AI in Islamic educational environments are evaluated. Policymakers, educators, and other educational stakeholders may make well-informed judgments on the utilization of AI technologies in Islamic religious education by recognizing these analytical aspects.
Mussa Saidi Abubakari and Kassim Kalinaki
Embracing Technological Advancements for Lifelong Learning IGI Global
In Islamic education, the infusion of digital tools is reshaping conventional paradigms, demanding the cultivation of digital competence (DC) as a pivotal skill. Balancing technology with cultural and religious sensitivities requires finesse from scholars and learners. This chapter underscores DC's enduring importance in lifelong learning, validating its applicability in Islamic education through a study involving 122 participants from Indonesia, Uganda, and Malaysia. Using quantitative surveys, the research affirms DigComp 2.1's validity and reliability in this context. Notably, learners exhibit a moderate level of DC across its five domains without discernible gender-based differences. These findings advocate for the seamless integration of DC and contemporary skills into Islamic education, urging educators and policymakers to recognise the compatibility of digital tools with Islamic ideals. This study serves as a foundational pillar for shaping educational strategies that harmonise lifelong learning at the intersection of Islamic principles and technological progress.
Mussa Saidi Abubakari, Gamal Abdul Nasir Zakaria, and Juraidah Musa
Informa UK Limited
Mussa Saidi ABUBAKARI, Nurkhamid NURKHAMID, and Priyanto PRIYANTO
Turkish Online Journal of Distance Education
The study was intended to model online learning engagement of international students studying in Indonesia to determine which factors affect learner engagement. A survey was conducted online, and 102 international students filled the questionnaire. Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique was used for data analysis. The results show that the variables: university support (T = 2.881, P< 0.01), motivation (T = 3.411, P< 0.01), and personal innovativeness (T = 2.426, P< 0.05) were the significant predictors of international students’ engagement in online learning. Other variables like instructor interactivity, student-material interaction, student-student interactions, and self-regulated learning didn’t significantly affect learner engagement. The findings of this exploration can be used as empirical data for higher education institutions’ managers when developing support programs for international students during their studies in a destination country. Other findings’ implications and recommendations are discussed.
M S Abubakari and Mashoedah
IOP Publishing
Abstract Currently, the whole world is facing the critical economy crash and enormous casualties as the ongoing coronavirus continues its intensive attack across the planet. Sadly, individuals in billions of numbers continue to face a constant threat from this contagious disease, with the condition unlikely to getting any improvement soon. In this paper, the aim is to provide an overview study of the current situation concerning the COVID-19 outbreak and the potential role of Internet of Things (IoT) as well as the associated technologies acting as technological solution in mitigating the outbreak. Thus, some potential literatures have been briefly reviewed for this paper as a research method. The review results indicate that, several technological solutions are innovated to deal with the COVID-19 pandemic effects. Digital technologies play a major role in the reformation of public health response towards the COVID-19 pandemic. Among digital technologies which have been at the front line include the IoT. Some examples and potential applications of IoT are discussed.
M S Abubakari, Nurkhamid, and G Hungilo
IOP Publishing
Abstract This study was aimed to evaluate the e-learning platform in a graduate school by using User Experience Questionnaire (UEQ). The data were collected from 65 respondents and analyzed using an excel data analysis tool. The results indicate that all six scales of the instrument are consistent except the novelty scale. Also, the calculated means of the scales are slightly positive as all values are greater than 0.8 compared to the UEQ benchmark. Although the respondents show a little positive impression with the platform, all scales means are below average category except efficiency scale which is above average as compared to the benchmark. This indicates that the platform needs more improvement in all aspects of user experience for it to be at least in a good category. The findings discussed in this paper are valuable for all academic stakeholders in various educational institutions which implement interactive e-learning systems as well as practitioners of user experience and developers of e-learning systems.