Examining university students' behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model.

This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for analysis, in which system quality and e-learning experience were included as external constructs to seek out a much better model to improve the understanding of students' intention to adopt e-learning. An extended TAM model was developed and tested in this study. The model consists of six constructs: system quality, e-learning experience, perceived ease of use, perceived usefulness, attitude toward use, and behavioural intention. Structural Equation Modelling (SEM) and SMART PLS 3.0 software were applied for data analysis. The findings informed that the proposed model has been succefully explained factors university students use of e-learning during the pandemic in Indonesia. It suggested that attitude toward e-learning use was the most prominent construct to predict university students' behavioural intention to use e-learning during the pandemic. Finally, this study offers recommendations for future research and practices.

Using comics in teaching mathematics to improve junior high school students' disaster awareness.

Students' awareness of disasters is vital, especially for those living in disaster-prone areas, so it needs to be developed during the learning. One strategy to increase students' awareness is integrating the concept of disaster awareness in learning, such as using mathematical comics based on disaster contexts. This study aimed to examine the improvement of junior high school students' awareness of disasters through mathematical comics. It also compared the improvement of awareness of the urban and rural students. This study employed a quantitative approach with a pre-test-post-test control group design. The population was all Year 7 students in one of the junior high schools in Banda Aceh (urban area) and one of the junior high schools in Aceh Besar (rural area), Indonesia. The samples were of two classes (experimental and control) in each school, which are selected randomly. Data were collected through a disaster awareness questionnaire and analysed by t-test. Contribution: This study showed that using mathematics comics in different schools with varying conditions resulted in the different levels of disaster awareness-raising. Students' disaster awareness in the urban experimental class was better on three of the four indicators, namely, pre-disaster awareness, false disaster awareness, and after disaster awareness, compared to the control class. Meanwhile, the rural experimental class did better on one of the four indicators, namely, disaster education awareness, than the control class. This study implies that comics can increase disaster awareness and the need for further research.

Analysis of Factors Affecting Academic Performance of Mathematics Education Doctoral Students: A Structural Equation Modeling Approach.

Student academic performance is an important indicator of doctoral education quality, but limited research has focused on how multiple influential factors of doctoral students' academic performance work together. This study aims to explore the factors significantly affecting the academic performance of mathematics education doctoral students in Indonesia. Several factors were recognized from prior studies, such as the fear of delay, student engagement, parental support, teacher support, facilitating conditions, stress level, and well-being. An online questionnaire was designed and answered by a total of 147 mathematics education doctoral students. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the questionnaire data. The results suggested that teacher support had the strongest positive effects on mathematics education doctoral students' academic performance in Indonesia. Student engagement was the most significant positive factor in improving doctoral students' well-being, while parental support could most significantly reduce their stress levels. Practically, these results are expected to provide implications to universities and supervisors regarding the improvement of doctoral students' well-being to promote their academic success and further the quality of doctoral programs in education. Theoretically, these results can also contribute to building an empirical model that can be used to explore and explain how multiple factors could affect doctoral students' academic performance in other contexts.

Integrated-Based Curriculum of Pharmaceutical Dosage Forms (ICPDF): What Factors Affect the Learning Outcome Attainment?

This study aimed to evaluate pharmacy students' perceptions regarding the correlations among the quality of faculty members, institutional resources, an integrated-based curriculum of pharmaceutical dosage forms (ICPDF), and learning outcome attainment. The current study participants have attended courses (semesters 2 to 6) through the ICPDF in the Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia. We distributed survey instruments to 212 pharmacy undergraduate students after one year of the curriculum implementation. We asked the students to fill in the instrument in which the indicators consist of a 7-point Likert scale. The data were analyzed using SmartPLS, which included measurement and structural models through PLS-SEM. The findings informed that the quality of faculty members and institutional resources significantly predict ICPDF. Similarly, ICPDF plays a significant role in affecting learning outcome attainment. The quality of faculty members and institutional resources were not related to learning outcome attainment. Significances of differences were informed among students' years in university regarding learning outcome attainment and ICPDF. However, insignificant differences emerged based on gender. The findings demonstrate the benefits of using the PLS-SEM approach to create a valid and reliable model, assessing the correlations between independent variables with the ICPDF and learning outcome attainment as two dependent variables.