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Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB).

The empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis.

The results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment.

Data were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective.

Findings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning.

Respectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities.

This study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions.

This paper, employing the model integrated from Theory of Planned Behaviour (TPB) and Technology Acceptance (TAM), will examine factors affecting Vietnamese students' acceptance behaviour towards online learning. The research aims at finding out the motivating factors and measuring their influence on students' intention to accept digital transformation in learning. Based on the results, the authors propose some valuable suggestions to encourage acceptance of online learning behaviour, to enhance and apply digital transformation to higher education in Vietnam, especially in the Covid-19 pandemic, when most of the schools all over the world were forced to close.

The research team used 913 responds' non-convenient probability sampling method, focusing on students currently studying at undergraduate education institutions across the country, studying different training majors, in different academic years. With the questionnaire designed through qualitative research, a preliminary quantitative study with 53 responses has been conducted. Based on the results, the authors completed the questionnaire then conducted a formal quantitative survey. Cronbach alpha, EFA, CFA and SEM have been used to explore the meanings of data collected.

The results from analysing 913 undergraduates reveal that Attitude (influenced by Perceived Usefulness and Perceived Ease of Use), IT Ability and Self-study Ability impact the intention of accepting online learning at the beginning and digital transformation in the future. Meanwhile, Subjective Norm and Financial Ability do not have any role in fostering the intent of accepting new studying mode among Vietnamese students because of IR4.0 and the low expense for online learning. Research findings are the premise for the authors to provide suggestions for students, institutions on enhancing their digital transformation process through their changing behaviours in the relationship with other stakeholders surrounding the learning process of students.

The authors found that previous studies only focused on one or two factors according to the TAM or TPB model; or have not clarified all the stages in the process of changing learning methods behaviour. Therefore, this study combined both models to analyse in more detail the above process as well as exploit new influencing factors to complete the research scale. The main limitation of this study was that the sample has been taken in 2020 when the Covid-19 pandemic is forcing all students to online learning, even they are willing or not.

The research is conducted in the context of Covid-19 outspread, the society has inevitably transitioned to digital transformation, especially with the education sector. Based on the results of analysing the changing process among students from accepting online learning to their intention to change the learning behaviour, the authors proposed some recommendations for universities that build the landscape for study; for lecturers – the most important factor in connecting the students to the working world with knowledge and skills; and especially for students, who need to have actively in receiving knowledge and self-study in the era of IR4.0.

This study adds to the existing literature related to solutions to motivate intention to accept online learning in higher education institutions. With online learning gradually being adopted around the world, the study examined the factors driving the intention to study online in emerging countries. In particular, the study focuses specifically on the case of Vietnam. This result from this study can serve as a guide for higher education institutions as a premise to develop future research directions. It may be useful for studies at higher education institutions in emerging countries similar to Vietnam; in-depth research into research subjects at higher education institutions; or study countries with cultures, customs and habits equivalent to Vietnam, etc. Finally, we are certain that the material presented in this manuscript will not infringe any statutory copyright and that the manuscript will not be submitted elsewhere while being reviewed by the Journal of Applied Research in Higher Education assessment.

As the use of Web‐based learning technologies to supplement college classroom instruction has increased, a key issue for faculty members is how to entice their students to accept these technologies. Research suggests that student experience with the technologies may influence their acceptance. The technology acceptance model was used as a framework to study the effect of student experience with Web‐based learning technologies on their acceptance of those technologies. Analysis showed that experience with the technology positively influenced perceived ease of use. Perceptions of ease of use and usefulness positively influenced attitudes towards the technology. Attitude positively influenced intention to use, and intention positively influenced usage. Results suggest that as student experience with a technology increases, they perceive it to be easier to use and more useful, and therefore, are more likely to use it. When introducing the technology, instructors should emphasize how easy the technology is to use and how useful it is in improving grades.

The study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance.

A structured questionnaire was administered to open and distance learning (ODL) students in Odisha, India, to assess their readiness and acceptance of m-learning. 665 valid responses were collected, and collected data was analysed using statistical packages for social sciences (SPSS) and SmartPLS.

The findings of the study reveal that optimism contributes positively to perceived ease of use (PEOU) and perceived usefulness (PU) of m-learning (β = 7.921, p < 0.001; β = 2.123, p < 0.05), whereas innovativeness positively contributes to PEOU of m-learning (β = 2.227, p < 0.05), but not PU of m-learning. ODL student's optimism improves his/her PEOU and PU of m-learning, but innovativeness improves only his/her PEOU. Further, the impact of innovativeness is higher than that of optimism in the TRAM and innovativeness is the strong predictor to adopt m-learning. It also shows that the PU of m-learning positively influences behavioural intention to use m-learning (β = 4.757, p < 0.001). Integrating technology readiness (TR) with technology acceptance model (TAM) to predict students' acceptance of m-learning is very useful.

The paper will help decision-makers to adopt and use m-learning in higher educational institutions.

This paper is the first to explore the readiness and acceptance of m-learning in higher education in India.

This study aims to examine the factors affecting behavioural intention to use E-learning during the COVID-19 pandemic. The study applies the unified theory of acceptance and use of technology 2 (UTAUT2) to identify the factors that predict intention to use E-learning. Also, the study examines the effect of personal innovativeness in information technology and perceived financial cost on intention to use E-learning.

The study adopted a cross-sectional quantitative study design involving 617 university students. The data was collected through an online survey due to the COVID-19 restrictions. The proposed hypotheses were analysed using partial least squares structural equation modelling.

The study found that personal innovativeness in information technology, perceived financial cost, performance expectancy, hedonic motivation and social influence have a significant effect on the intention to use E-learning. Contrary to expectation, habits, effort expectancy and facilitating conditions did not predict intention to use E-learning.

The study was conducted on university students and did not include other school-going students and working professionals. Also, the study sample was not drawn from many universities. The study used a quantitative approach. The use of a mixed-methods approach could provide deeper insights into the factors affecting the intention to use E-learning in developing countries.

The practical implications inform policymakers and educational institutions on how E-learning adoption can be enhanced. In this context, social influence, performance expectancy, hedonic motivation, personal innovativeness and perceived financial cost are identified as predictors of intention to use E-learning. This study has implications for the development of E-learning systems and the promotion of the use of E-learning in the context of developing countries.

The study is amongst the few studies from a developing economy to use the UTAUT2 model to examine students’ intention to use E-learning. The study proposes the inclusion of personal innovativeness in information technology and perceived financial cost as factors predicting intention to use E-learning. Again, the study adopts importance-performance matrix analysis to provide decisional areas where management may improve for successful E-learning acceptance and use.

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 purpose of this paper is to examine factors that predict students’ continued usage intention of web-based learning management systems (LMS) in Tanzania, with a specific focus on the School of Business of Mzumbe University. Specifically, the study investigated major predictors of actual usage and continued usage intentions of e-learning system, and challenges of using the e-learning system.

Data were collected through a questionnaire survey of 300 third year undergraduate students, with a rate of return of 77 per cent. A total of 20 faculty members were also interviewed. The unified theory of acceptance and use of technology (UTAUT) was utilized in the study.

The results show that actual usage was determined by self-efficacy, while continued usage intentions of web-based learning system was predicted by performance expectancy, effort expectancy, social influence, self-efficacy, and actual usage. Challenges for using web-based LMS were related to information and communications technology (ICT) infrastructure barrier, LMS user interface was not user friendly, weak ICT policies, management and technical support, limited skills, lack of awareness, resistance to change, and lack of time to prepare e-content and use the e-learning system.

The study findings are useful to e-learning managers and university management to identify important factors and develop appropriate policies and strategies to encourage long-term usage of e-learning systems for future studies and lifelong learning.

By using UTAUT in the context of continued usage intentions and the integration of an additional construct (“self-efficacy”), the extended UTAUT model fits very well in the web-based learning systems in Tanzania, in particular where such studies are scant. The findings can be used in other institutions with similar conditions in investigating the continued usage intentions of e-learning systems.

The purpose of this paper is to combine task-technology fit, theory of planned behaviour and individual technology optimism, and propose a better hybrid technology behavioural intention model to explain Taiwanese students’ usage behaviour for weblog learning.

A 31-item questionnaire with eight constructs was administered to undergraduate and graduate students enrolled in three universities in Taiwan. A total of 380 voluntary, usable responses were received, and a research model estimated using Smart PLS was used to interpret the structural relation results.

The results of the research model were analysed using a structural equation modelling approach to test six hypotheses and three moderating hypotheses; significant support were found for seven of them. Accordingly, this study considered the level of technology optimism as a moderator to explore whether it impacts perceived behavioural control, attitudes and social influences on behavioural intention related to weblog learning.

This research provides a better understanding of individual and system characteristics, as well as social factors regarding weblog learning system acceptance and intention.

The COVID-19 pandemic has resulted in social isolation; nevertheless, universities will proceed throughout this trying period with the assistance of technology. As such, this paper seeks to develop a conceptual framework to investigate the continued intentions of students to use mobile learning during COVID-19 under different cultural contexts expanding upon the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Expectation-Confirmation Model (ECM) under different cultural contexts.

The suggested model is empirically tested with 1,206 students from different universities in three societies (i.e. Saudi Arabia, Egypt and the UK) using SEM/PLS.

Performance expectancy, satisfaction, social influence, facilitating conditions and instructors' competencies positively influence students' continued intentions to use mobile learning. In addition, the findings of the current research indicate that student's isolation negatively impact the continuous usage behavior. Furthermore, the findings indicated that a “one-size-fits-all” approach is insufficient in capturing the heterogeneity of students' intentions to use mobile learning across countries.

To the best of the authors' knowledge, this is the first study that has been conducted to understand the main determinants of students' continued intentions to use mobile learning under different cultural contexts.

The blackboard learning system is an online platform designed for e-learning employed by higher education institutes like universities that facilities students to continue learning and educational activities. This study explores the determinants that affect students' acceptance and use of Blackboard learning system (BLS) in Pakistan utilizing the modified UTAUT framework with social isolation as an additional variable.

A questionnaire survey was conducted, and the study gathered 494 university students' responses in Pakistan as participants. The collected data were interpreted applying PLS-SEM version 3.2.3 software.

The study's findings exhibited that PE, EE, FC and SI are the prime determinants influencing the intention and use of BLS in Pakistani universities. Hedonic motivation and social isolation interact differently between UTAUT variables and use intention. The results verify the suitability of the applied theory in the background of the study.

However, the findings highlight the present understanding of BLS use from the learners' aspect, but the study's limitation cannot be evaded. The study respondents belonged to a specific region of Pakistan (Karachi) that might influence the usefulness of the outcomes. Other factors categorized as the environmental, system and organizational elements were not part of the study that may also differentiate the BLS acceptance. The model was extended by including the social isolation, but the effect is insignificant yet positive; therefore, it is required to evaluate the model differently, such as the organizational aspect, for future research. Moreover, the ethnic factors that vary in emerging and developed economies may provide different explanations; therefore, they can be incorporated in future studies. Likewise, the variables such as hedonic motivation need to be emphasized more by examining and evaluating its effect on students' education performance in the future.

The outcome of the study suggests some implications. At first, being the modified framework UTAUT2 application makes the collaboration appropriate according to the current phenomena of the COVID-19 pandemic and its contribution to the higher education region to analyze the acceptance of e-learning systems. Educational institutions within Pakistan would emphasize enhancing students' accomplishment by improving the interface and the blackboard learning system workability. Hence, learners' effectiveness in learning would be escalated; they would be encouraged to accomplish study objectives using BLS, particularly when they consider it easy to use and a useful platform for e-learning during the pandemic. Furthermore, enhancing the e-learning system in the context of the effort demands to be required to utilize BLS should be the foremost objective as learners would be motivated to accept the technology if they consider it simple, convenient, and user-friendly to adopt. Thus, the benefits of using BLS during this situation when universities are not operational will make students adaptable to change in the prospect. Learners will accept the model of online education, even if the universities become operational. However, it can increase the rate of earnings and revenue for universities as they can enroll in online and regular classes. Therefore, it is suggested that higher education management should create a resilient online platform by which facilitators can communicate with learners without any obstacles.

Hence, it is recommended to introduce the online short course, qualification, certified courses and integrated coursework with international ventures and ongoing classes. Numerous learners continue their studies along with the job. Therefore, it is suggested to introduce online programs for those learners. Another benefit would be that it offers an integrated platform for sharing knowledge. BLS offers to maintain the complete information in one place, and learners can see them as per their convenience based on their availability. This reduces the burden on administration related to keeping the educational material and resource in various files. Thus, it also reduces the expense of universities. It is suggested to emphasize encouraging the use of BLS through an effective plan that can assist in execution and help learners identify the technology features rather than to face difficultly to accept the change. Moreover, the acceptance of BLS for educational purposes verifies that other learning events can occur on the online platform. Thus, it is recommended to promote the origin of the online atmosphere and the initiation of other events. Globally, dynamics are changing frequently and continuously and are moving towards artificial intelligence systems; the circumstances are suitable for promoting online educational platforms' acceptance by incorporating it with the current educational arrangement.

The study provides recommendations for the research to be conducted to explore the modified framework in different regions and boundaries to evaluate the effect of other factors on adopting e-learning platforms.