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The explosion of technology has revolutionized the teaching and learning process in higher education. Students are using the digital technology to aid their learning process. In this sense, digital divide exists among students in higher education as they come from different socioeconomic backgrounds. Thus, this study aims to examine the digital usage among the students from the low-income families (B40) in higher education institutions.

The data was drawn by using an online survey from the undergraduates (low-income families B40) in Malaysia higher education institutions. In total, 391 responses were collected. The data was analysed using structural equation modelling method.

The results showed that performance expectancy and facilitating conditions have a significant relationship with digital usage. In addition, personal innovativeness has positive significant effect on performance expectancy and effort expectancy.

This study sheds light on the students from the lower income family behaviour while using digital technologies for their learning purpose.

The study further contributes to the new knowledge on students from the low-income family’s behaviour in using digital technology for their learning process.

The advancement of technology in the last decades transformed the education from mortar and brick into online teaching and learning. It also changed the assessments from paper-based to technology-supported assessments. This study aims to examine how technology support student's online assessments in higher education institutions from diverse background.

Data were collected from 411 undergraduates in both public and private universities in Malaysia and analysed using partial least square-structural equation modelling.

The findings implied that performance expectancy and resources-facilitating conditions have a positive significant relationship with behavioural intention. IT experience moderates the relationship between effort expectancy, social influence and behaviour intention to use online assessment.

This study offered new insights into the intention to use online assessment among diverse student's background.

The COVID-19 pandemic, in addition to posing challenges, has also created opportunities for greater digital integration than ever. However, the scale and efficacy of digital integration are contingent on the digital competence (DC) of teachers. In the same way, how well teachers learn and teach online may depend on how willing they are to try new ways of digitizing learning or being innovative. This study aimed to ascertain if teachers' digital nativeness, digital addiction and innovative work behavior had an impact on their DC.

The study used a quantitative research method, whereby data were collected from 276 schools, colleges and university teachers. The researchers employed structural equation modeling (SEM) using SmartPLS to analyze the data.

The results illuminate the literature regarding DC and the predictive capability of teachers' digital nativeness, digital addiction and innovative work behavior, which can contribute to paving the way for digitizing teaching and learning in the post-COVID-19 era.

The study has significant implications for meaningful learner engagement by explaining the importance of teachers' digital competencies and how they could be approached conceptually to better understand the factors associated with teachers' DC. The differences in DC between digital natives and digital emigrants remain one of the limitations that future research may address.

The results have policy level and practical implications for organizations to consider the value of young teachers in the integration of digital resources. It is also critical to encourage teachers' innovative behavior in the digitization of teaching by creating a supportive organizational environment.

The study remains valuable in the post-COVID-19 era, where educational institutes are revisiting the prospect of online learning as a parallel to in-person teaching. The results remain innovative and genuine and have not been explored in previous research, in particular in the post-COVID-19 era. The involvement of teachers from schools, colleges and universities makes the results more general, which all of them can equally benefit from.

This study aims to investigate Sri Lankan Government university students’ acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the unified theory of acceptance and use of technology 2 (UTAUT2) model as the primary theoretical lens, this study incorporated personal innovativeness as both a dependent and moderating variable to understand students’ ChatGPT use behaviour.

This quantitative study used a questionnaire survey to collect data. A total of 500 legitimate undergraduates from 17 government universities in Sri Lanka were selected for this study. Items for the variables were adopted from previously validated instruments. Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4 was used to investigate latent constructs’ relationships. Furthermore, the variables’ relative relevance was ranked using a two-stage artificial neural network analysis with the SPSS 27 application.

The results of the analysis revealed that eight of the nine proposed hypotheses were confirmed. The most significant determinants of behavioural intention were habit and performance expectancy, closely followed by hedonic motivation and perceived ease of use. Use behaviour was highly influenced by both behavioural intention and personal inventiveness. Though personal innovativeness (PI) was suggested as a moderator, the relationship was not significant.

The research highlights the impact of habit, performance expectancy and perceived ease of use on students’ acceptance of AI applications such as ChatGPT, emphasising the need for efficient implementation techniques, individual variations in technology adoption and continuous support and training to improve students’ proficiency.

This study enhances the comprehension of how undergraduate students adopt ChatGPT in an educational setting. The study emphasises the significance of certain variables in the UTAUT2 model and the importance of PI in influencing the adoption of ChatGPT in educational environments.

The present study aims to examine the lived experience of undergraduate students in learning entrepreneurship education through online coach-peer conference at a university in Indonesia, in order to explore the lived experience of undergraduate students in developing entrepreneurial self-efficacy during the COVID-19 pandemic.

Anchored in a phenomenological case study, the student participants were interviewed using online platforms such as WhatsApp and Zoom. To triangulate the data, photographs were taken during observation while the participants were engaged in the online learning process. The interview data were transcribed, interpreted using interpretative phenomenological analysis and thematically analyzed.

This study showed that participants built businesses with (1) the formation of entrepreneurial attitudes and behaviors, (2) increased their entrepreneurial literacy, and (3) increased their involvement in entrepreneurship education coaching programs. This study suggests that the development of entrepreneurial self-efficacy through an online coach-peer conference is important in the development of student businesses.

The findings suggest that nurturing the role of online coach-peer conferences in building student entrepreneurial self-efficacy, both during the pandemic of COVID-19 and in the future.

The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work.

This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh.

This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system.

The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education.

Although technology is a defining characteristic of distance education, assessment of the applicability of such resources in knowledge dissemination is greatly warranted to ensure effectivity. Hence, the purpose of this study was to assess the viability of a novel tool in teaching practical chemistry online.

Here, a resource named “virtual chemistry lab space” (VCLS), which allowed the learners to virtually engage in practical activities, was administered among learners enrolled in a practical chemistry course at the Open University of Sri Lanka and feedback was collected to ascertain the learner perception on the resource.

In total, 76% of respondents indicated familiarity with the VCLS, while 59% indicated that they were interested in engaging in activities provided through this resource during the pandemic lockdown. Also, 70% indicated that the VCLS was helpful to understand the course content during the pandemic period, while 82% indicated that they are likely to use it in the future.

The prevalent problems related to using the VCLS were lack of Internet access, physical interactions and time. However, the overall opinion on the VCLS was notably positive, while a majority indicated that flexibility to the learners, access to learning resources and use of technology in education will improve due to the use of this novel tool.

Online course delivery has been greatly restricted to areas of education where distant delivery could be easily adopted while it is seldom found in areas such as practical chemistry. Hence, the study indicates novelty and notable originality within the ODL system.