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This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms.

The proposed model for this study adopted a unified theory of acceptance and use of technology as a base model and incorporated the following constructs: availability of resources (AR), computer self-efficacy (CSE), perceived enjoyment (PE) and continuance intention to use (CIU). The study used an online questionnaire to collect data from 280 students of a Technical University in Ghana. The partial least square-structural equation model (PLS-SEM) method was used to determine the measurement model’s reliability and validity. Machine learning algorithms were used to determine the relationships among the constructs in the proposed research model.

The findings from the study confirmed that AR, CSE, PE, performance expectancy, effort expectancy and social influence predicted students’ continuance intention to use the LMS. In addition, CIU and facilitating conditions predicted the continuance use of the LMS.

The use of machine learning algorithms in e-learning systems literature has been rarely used. Thus, this study contributes to the literature on the continuance use of e-learning systems using machine learning algorithms. Furthermore, this study contributes to the literature on the continuance use of e-learning systems in developing countries, especially in a Ghanaian higher education context.

The purpose of this study is to predict the intention to continue online learning post the coronavirus disease 2019 (COVID-19) pandemic among students in the two largest universities of higher learning in Botswana. Furthermore, the purposes of this study are to elucidate the nexus between performance expectancy and continuance intention to establish the effects of efforts expectancy on continuance intention to investigate the relationship between social influence and continuance intention to determine the relationship between facilitating conditions and continuance intention and to examine the relationship between satisfaction and continuance intention using the extended unified theory of acceptance and usage technology (UTAUT) model postulated by Venkatesh et al. (2003).

The study is based on the descriptive research design, using a structured questionnaire to collect quantitative data from 509 undergraduate and postgraduate students at Botswana's two major Universities using convenience sampling strategy. An online survey was used to gather primary data due to the COVID-19 pandemic. The study employed correlation and regression analysis in testing the five hypothesized relationships.

Using the extended theory of UTAUT as a theoretical lens, the study found that: performance expectancy, social influence and satisfaction predict continuance intention of online learning services. These factors have shown to be good predictors of intention in previous research. Expectancy effort had no influence on intention.

The current study covered on only university students from two tertiary institutions; therefore, results cannot safely be generalized to the student population in the country. Therefore, future research should consider enlisting more universities to be more representative, focusing on lecturers, which is an important group in fostering online teaching that could have a spill-over effect on the students' continued online learning.

Implications for online technology selection: These findings suggest that although most universities temporarily adopted online teaching as an emergency solution, students appear to have felt that the outcomes delivered by the system improved their performance. This implies that academic institutions need to consider adjusting the curriculum to promote online learning in the future, whether there is pandemic or no pandemic. Implications for teaching and learning: First, the concept of social influence suggests that lecturers can make use of online chat discussion boards and rooms to foster student collaboration and a sense of community. Second, and finally online service providers should foster a close relationship with students to understand their expectations and extend the performance of their applications to satisfy their users.

This study contributes to literature on online learning during the COVID-19 pandemic period by including satisfaction and continuance intention to the original UTAUT model thus extending the practical value of the model. This study extends knowledge on the factors that determine continuance intention by incorporating satisfaction in addition to the four factors of the traditional UTAUT. The study provides evidence for the predominance of satisfaction over the four traditional factors in predicting intention to continue online learning among students.

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.

This paper aims to develop and test a research model to explore the factors that influence pre-service teachers’ intention to use learning management system (LMS).

A cross-section study was conducted. A survey questionnaire was used to collect data from participants. The total number of participants was 361 pre-service teachers. Partial least square structural equation model was used to analyze the data.

The findings of this study found that the research model explained approximately 43% of the variance in behavioral intention. Also, the findings revealed that attitude and social influence had an effect on behavioral intention to use technology, but the facilitating condition had no effect on behavior intention to use technology. Finally, performance expectancy, effort expectancy and social influence had an effect on attitude while facilitating condition had no effect on attitude.

In technology acceptance research, unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM) have been broadly designed and empirically tested to elucidate the determinants that impact users’ intention to operate technology in the developed world. However, research on the validation of TAM and UTAUT to explain the determinants that influence preservice teachers’ intention to use a LMS in developing countries is insufficient. Therefore, it is important to evaluate the efficacy of the integrated model of TAM and UTAUT to explain preservice teachers’ intention to use technology and explore the influential determinants that explain preservice teachers’ intention to use LMS.

This study aims to examine the relationship between entrepreneurship education and students’ intentions and tests for moderating effects of students’ perceived experience and family entrepreneurial orientation, which may strengthen or weaken the effect of entrepreneurship education on intention.

Data were collected through a questionnaire from 584 students in the vocational program at an Indonesian public university. Entrepreneurship education was measured using instruments by Walter and Block (2016) that evaluated the entrepreneurship education provided by faculty. Entrepreneurial intention used a measurement by Vamvaka (2020), which measured students’ choice of intention, entrepreneurial career commitment and nascent entrepreneurship.

Entrepreneurship education has a positive association with students’ entrepreneurial intentions. The results also evidence higher entrepreneurial intention levels in students from families oriented toward and experienced in entrepreneurship. The results also reveal that student experience and having friends who become entrepreneurs reduce entrepreneurial intention, but the difference is not statistically significant.

The main limitation of this survey is that it was drawn from a single university in Indonesia with only domestic students, whilst the study was also designed cross-sectional. Therefore, the generalisability of the results is still limited. This study uses a single item for measuring friends and own influences, which only measure personal experiences. A more multidimensional measure of family, friends and own influence can be further developed to gain more robust results supporting these findings.

The study contributes to understanding the role of family-related variables, particularly family entrepreneurial orientation and experiences, on the development of entrepreneurship education and intention in emerging global market forces. Through family engagement in entrepreneurship education, a family can boost students’ entrepreneurial intention by delivering various capitals (e.g. business value, financial and social capital) and providing practical learning. The results imply the necessity to conduct new subjects, courses or university programmes that can include family-related business in entrepreneurship education.

Despite the expansion of research related to entrepreneurship education and intention, the relationships between perceived experience, family entrepreneurial orientation and students’ entrepreneurial intentions have not been adequately studied, particularly in Indonesia. This work contributes to the existing knowledge of entrepreneurship education by providing two moderator variables that may boost entrepreneurial intention: perceived experience and family entrepreneurial orientation. This work demonstrated how perceived experience and family orientation interact with entrepreneurship education and intention.

The objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform among Saudi university students pursuing English as a foreign language (EFL) courses.

Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.

The study's findings indicate that performance expectancy, social influence, effort expectancy and price value significantly affect the attitudes of EFL students toward using CALL. The habit factor was the most robust predictor of behavioral intention and technology use, indicating that CALL usage can become automatic for students and improve their engagement in EFL learning. The study highlights the importance of providing better technical and organizational support to EFL students who want to use CALL more effectively. The theoretical and practical implications of the study's findings are thoroughly discussed.

Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the UTAUT2 by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.

This study aims to establish the online teaching behaviour of university lecturers as well as examine issues and challenges for online teaching in universities in Zimbabwe during the COVID-19 era and beyond.

The study assumed a quantitative approach that employed a structured questionnaire for data collection. Structural equation modelling using AMOS version 22 and independent samples t-test were used for data analysis. Confirmatory factor analysis was used for data purification.

The results of the study showed that organisational factors, technological factors, pedagogical factors, student factors and the gender of lecturers have a significant influence on the behavioural intentions of lecturers to teach online. The results also showed that the behavioural intentions of lecturers to teach online has a significant influence on the actual online teaching behaviour of the lecturers. The results also showed that lecturers mostly used the WhatsApp platform for teaching. Issues and challenges affecting the online teaching behaviour of lecturers in universities in Zimbabwe were also identified.

The results of this study have implications for policy and practice with regard to online teaching and learning during periods of pandemics and beyond.

The results showed that for effective teaching to be done in universities, universities should not continue focusing on single platforms such as blackboard, Moodle and others, but should allow for a multimedia approach that factors in platforms such as WhatsApp, Google Classroom and others. This will ensure that even universities with limited technology infrastructure will be able to have online teaching occurring.

The study demonstrated the influence of gender in online teaching by showing that there are gender differences in the way university lecturers conduct online teaching. This also has implication on teaching and policy as these results demonstrate a need for universities to come up with strategies and policies that ensure despite gender differences, university lecturers should be able to effective teach online.

While the unified theory of acceptance and use of technology has been widely used in research, the current study represents the first opportunity that the theory has been used to establish the online teaching behaviour of university lecturers in the context of Zimbabwe.

The study is done to investigate the factors that affect the intention of higher education students towards online education. The research also focuses on the importance of students' stability and students' resilience on perceived usefulness and perceived easiness of use that frame the attitude towards the intention to use online education.

Online survey method is employed using Google form link with a sample of 686 students of higher education. Excluding the outliers (univariate and multivariate), the final sample size (N = 679) considers the empirical results of the study. Partial least square structural equation modelling (PLS-SEM) is applied to unearth the relationship in the proposed research model of the study.

The empirical results indicate that perceived usefulness and perceived easiness of use have a direct impact on students' intention to use online education platform. Moreover, perceived usefulness and perceived easiness of use also have a positive influence on the students' attitude, which has a strong influence on students' intention to use online mode of education system. Also, students' stability and students' resilience have mixed impact on the level of perceived usefulness and perceived easiness of use that are the most useful determinants of attitude towards the intention to use online education.

The study counts on the technology acceptance model (TAM) where constructs like behavioural controllability, past exposure and perceived accordance are not considered for measuring the intention of students in adapting to online education.

This paper employs the extended model of technology acceptance with additional determinants, namely, students' stability and students' resilience, to investigate the intention to use the online form of education as an alternative to the offline mode.

The purpose of this paper is to identify the factors affecting learners' perception of e-learning during the Coronavirus-2019 (Covid-19) pandemic. Furthermore, it investigates mechanisms that enhance students' engagement in e-learning, especially under the constraints created by the pandemic.

Quantitative research approach was used, and data were collected using a structured questionnaire. The sample consisted of 163 undergraduates registered at the Faculty of Management Studies of the Open University of Sri Lanka (OUSL). The structured questionnaire was designed taking into consideration learners attached to different regional centers and study centers of the OUSL.

As per the findings, performance expectancy, social influence, effort expectancy and service quality are the factors which have significant effects on students' “intention to use” e-learning as a method of pursuing education. Furthermore, it was observed that 65.6% of the students had access to technology through mobile phones, while 53.4% of the students had engaged in e-learning for the first time. This was mainly due to restrictions that were imposed during the Covid-19 pandemic.

The study will help in formulating policies and introducing procedures in relation to online teaching-learning models to be used by both teachers and learners, especially in similar pandemic situations in the future.

This study will assist to determine the effectiveness of the e-learning system used by the OUSL. The findings highlighted the importance of improving information technology (IT) facilities available at all the regional and study centers across Sri Lanka.

This study aims to determine and analyze the predictors of food waste reduction intention and behavior among higher education institutions (HEIs) using an extended version of the theory of planned behavior (TPB).

This study empirically tested an extended TPB model through regression analyses using data obtained through an online survey.

Attitude toward food waste reduction, subjective norms, perceived behavioral control and food waste knowledge predicted intention to reduce food waste. Furthermore, the intention to reduce food waste predicted food waste reduction behavior.

The results imply that extending the TPB by adding food waste knowledge significantly predicted food waste reduction intention and behavior.

The study identified factors that predict food waste reduction behavior and suggested ways to influence Filipino students in HEIs to reduce food waste.

The findings support the inclusion of food waste knowledge to the TPB in predicting food waste reduction intention and behavior among students in HEIs.