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.

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.

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This study was intended to model information and communication technology (ICT) acceptance in Tanzanian madrasas based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and extend it with two constructs: religious perspective and personal innovativeness. That is because there is a scarcity of studies investigating ICT acceptance in the madrasa education context. The study is a quantitative, and a survey questionnaire was distributed through google form to collect primary data. The study involved both teachers and students, with a sample of 215 respondents obtained using the snowball sampling technique. Data analysis used Partial Least Squares-Structural Equation Modelling (PLS-SEM) technique. The findings indicate that religious perspective (T=3.636; P<0.001), social influence (T=2.818; P<0.01), and personal innovativeness (T=3.301; P<0.01) are the only significant variables that determined the behaviour intention of individuals to use ICT. Also, the significant factors influencing madrasa individuals to the actual use of ICT facilities are behavioural intention (T=3.649; P<0.01) and religious perspective (T=2.428; P<0.05). Except for the social influence variable, other variables of the UTAUT model were found insignificant to influence the intention of individuals to use ICT in Islamic studies. Finally, recommendations and study limitations are also discussed.

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.