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The purpose of this study was to obtain valuable insights into students’ engagement and experiences within the virtual learning environment, especially in the context of crises. Among the innumerable challenges people throughout the world faced during the first year of the COVID-19 pandemic, those of students in institutions of higher education needing to engage in online academic studies are of special interest. Using an online survey, this study could predict students’ online engagement during the COVID-19 pandemic through three theoretical frameworks: the students’ academic motivation to study, the Big Five personality traits, and loneliness, and with a new tool measuring the participation in the Zoom platform.

To examine the psychological and technological factors predicting the students’ engagement, this study surveyed 547 students from different academic institutions of higher learning.

Findings show that the less lonely the students felt, the less neurotic they were, and the higher they scored in levels of extroversion, agreeableness, consciousnesses and openness to experience, the greater their engagement in their academic studies. In addition, students who were older, more educated, with higher intrinsic motivation and lower lack of motivation were more engaged in their online academic studies. Finally, participating in classes through the Zoom platform and experiencing it positively was a significant predictor of higher academic engagement.

Recognizing these factors can enable educators, institutions of higher learning, counselling services and students to obtain tools for higher engagement in online learning.

We aimed to identify factors that influence student engagement in distance learning.

The research involved a group of 671 students from economic and technical higher education institutions in Poland. We collected the data with the CAWI technique and an original survey. Next, we processed the data using principal component analysis and then used the extracted components as predictors in the induced smoothing LASSO regression model.

The components of the students’ attitude toward remote classes learning conditions are: satisfaction with teachers’ approach, attitude to distance learning, the system of students’ values and motivation, IT infrastructure of the university, building a network of contacts and communication skills. The final model consisted of seven statistically significant variables, encompassing the student’s sex, level of studies and the first five extracted PCs. Student’s system of values and motivation as well as attitude toward distance learning, were those variables that had the biggest influence on student engagement.

The research result suggests that in addition to students’ system of values and motivation and their attitude toward distance learning, the satisfaction level of teachers’ attitude is one of the three most important factors that influence student engagement during the distance learning process.

The main value of this article is the statistical model of student engagement during distance learning. The article fills the research gap in identifying and evaluating the impact of various factors determining student engagement in the distance learning process.

Amidst the COVID-19 pandemic, education has shifted to online teaching and learning. Interactivity is a crucial tool used to make online education effective. This study empirically examines the role of interactivity in higher education and its influence on students' behavioral outcomes, specifically focusing on soft skills and personality upgradation.

A quasi-experimental research design was carried out for post-graduate students undergoing a business communication course from four major institutions. For analysis, t-test, confirmatory factor analysis (CFA) and partial least squares structural equation modeling (PLS-SEM) have been employed. Experimental research has established the causal relationship between interactivity, personality and soft skill upgradation (SSU).

It was found that the theoretical structural model has a rational model-fit validity. Resultantly, practitioners may use prior knowledge of virtual community (VC) members to enhance web interactivity, thereby increasing social identity and social bonds in a group for more meaningful and effective delivery of online courses.

The major limitations lie in its context-dependent nature, predominantly influenced by the pandemic-induced mandatory online learning. The study's cross-sectional design also inhibits its ability to assess goal-directed behaviors over time, necessitating further longitudinal research.

The study is one of the pioneering pieces of research that examines the role of pre-defined grouping and enhanced web interactivity in VCs in the context of online learning, especially during the COVID-19 pandemic. Integrating theories of web interactivity, social bond theory (SBT) and social identity theory (SIT) provides a novel understanding of cognitive and social influences that drive meaningful online discussions and their impacts on knowledge enhancement and personality development. Its findings have implications for the design of effective online learning environments and e-learning pedagogy, contributing to the growing domain of information and communication technology (ICT)-enabled education.

The COVID-19 pandemic has compelled higher educational institutions to implement alternative educational strategies that rely heavily on internet accessibility and utilisation to monitor and evaluate students. This study aims to find certain indicators for planning and designing future courses of inclusive online education in the domain of disaster risk reduction (DRR).

The study reviews and analyses online teaching and learning experiences of DRR courses. It uses online surveys and interviews to derive the perspectives of selected students and educators in universities in Asia and the Pacific region.

Active engagement is considered to be achieved when students are active in chat boxes, through presentations, through assignments and when the video cameras of students are turned on. On the contrary, students perceive active engagement differently because they face emotional disturbances and health issues due to prolonged screen/digital device use, have inadequate information and communications technology infrastructure or have digital literacy deficiencies among others. The study finds that online courses have many sets of strengths, weaknesses, opportunities and threats, when they are balanced, they can improve DRR courses in the future.

The study is based on the outcome of interviews with 10 experienced educators in DRR courses as well as students from different schools taking courses in DRR education. However, the students are not necessarily taking the courses of the educators interviewed due to the inability of some educators to avail themselves and the challenge of contacting the students. This notwithstanding, the results of this study give a general overview of the situation to be considered in the planning and design of online and distance education.

The results do not reflect the reaction of students and tutors of the same course. Future studies of collecting and analyzing the responses from the students and the educators with the same course could provide tailored solutions.

This study attempts to find solutions to bridging two different perspectives on teaching and learning. The results would be important to strengthening and designing future online courses.

This paper aims to explore the significance of videoconferencing in blended learning, using the technology acceptance model to investigate students’ perceptions and its impact on course engagement, student satisfaction and future technology use intention. In addition, it examines the role of teacher support in fostering interactive virtual learning experiences.

This study focuses on a cohort of international students regarding blended courses amid the COVID-19 pandemic when the conventional face-to-face components were substituted with virtual classrooms through videoconferencing. It aims to investigate how to facilitate connectivity between Southeast Asian students and their professors located in a Southern state in the USA.

This study reveals that the perceived usefulness of videoconferencing predicts future intention to use, emphasizing the vital role of teacher support in engaging students in virtual classrooms and contributing to student satisfaction.

The small sample of international students in blended courses with an American university during the COVID-19 pandemic may limit the generalization of the findings.

Videoconferencing can be a valuable tool to enhance connectedness in digital learning post pandemic.

Videoconferencing in blended learning can bridge geographical barriers and provide access to diverse learners who might otherwise have limited educational opportunities.

This study supports the integration of videoconferencing as a mechanism for providing high-quality digital learning experiences.

This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.

A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.

The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.

The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.

This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.

This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.

This paper aimed to determine the self- and co-regulation influences on the community of inquiry (CoI) for collaborative online learning.

A quantitative survey was used on a sample of (N = 626) enrolled postgraduate students in a South African Open Distance and e-Learning (ODeL) university. The measuring instruments were the CoI and the shared metacognitive surveys. Correlation and multiple regression analyses were used to determine the association and influence of self- and co-regulation on the CoI.

The results indicated that self- and co-regulation related to the CoI (teaching, cognitive and social) presences. In addition, the results revealed that self- and co-regulation influence the CoI presences. Self-regulation had the highest influence on teaching and cognitive presence, while co-regulation influenced social presence.

The study’s convenience sampling method from a single university limited the applicability of the findings to other online learning environments.

Higher educational teachers who encourage student self- and co-regulation may enhance their online teaching, cognitive and social presence when studying online. The research’s findings may be valuable to teachers to enable them to provide a more collaborative and interactive online learning environment and promote productive online communities.

This study contributes to the body of knowledge about the relationship between teaching, social and cognitive presence and self- and co-regulation within the CoI framework. Furthermore, there has also been limited research focussing on the dynamics of shared metacognition within the CoI framework in an ODeL context.

There has been an unprecedented increase in online learning worldwide, including in teacher education. However, student lurking can be a common issue, leading to a non-interactive learning environment.

The authors employed a qualitative case study with thematic analysis to examine a novel “self-directed” pre-service teacher online degree module that engaged students in regular peer-feedback, which intended to promote student engagement and interactivity. The research questions were as follows: To what extent did the seminar series represent the principles of self-directed learning and were learning outcomes effective from the process? And, how effective was the use of peer feedback?

The thematic analysis revealed that student progression and course completion was successful, and it represented some principles of self-directed learning; but (a) it cannot be presumed that pre-service teachers are competent in giving (peer) feedback and (b) pre-service teachers may need specific guidance and training for providing competent feedback.

This paper is highly original in respect of its combination of the self-directed learning framework with use of peer feedback, to engage students in an interactive learning environment. The present paper identifies that peer feedback is a powerful tool in online learning; peer feedback can supplement self- and teacher-assessment; but it should not be assumed that pre-service teachers are competent in providing (peer) feedback – pre-service teachers may need specific training in providing feedback.

The purpose of this study was to understand perspectives of doctoral students about their compulsory online experience and aspects of their compulsory online experiences which were strongly associated as a result of the COVID-19 pandemic, a disorienting dilemma.

Exploratory descriptive survey research was the approach taken. Notable descriptors and associations were interpreted based on statistical analysis complimented by respondent comments.

Respondents included students who were at various stages of completing their doctoral degree. Overall findings indicated preference for face-to-face classes, the switch to online learning was well-received, primarily as a result of perceptions of quick and supportive communication from doctoral program leadership, strong student and instructor connections, and high-quality collaborative opportunities.

The COVID-19 pandemic represented a disorienting dilemma provoking cognitive dissonance among doctoral students who were compelled to move from a hybrid to a completely online learning model. Fear, anger and discontent induced by broken assumptions were mitigated through shared experiences creating new meaning and habits of mind in the process of adjusting to new expectations. Study results reveal that engagement, collaboration and support among instructors and classmates eased the transformative process transitioning into online learning.

The results of this study provided real-time understanding of students' needs in order to be successful in the quest and persistence of doctoral study online. Though the process of seeking official and state approvals to move the educational leadership doctoral program fully online, program faculty made a series of teaching and program adaptations informed by these results.

Research about doctoral student experiences during a compulsory transition from a hybrid to online delivery model has not been explored and offers original perspective to improve future practice transitioning into online programs for student acceptance, engagement and retention.

This paper explores the experiences and strategies that have emerged from an Islamic university in Brunei Darussalam in its efforts to adapt to the new normal. It aims to provide a comprehensive post COVID-19 teaching and learning strategies framework and understand how the principles of Islam can be harmonised with modern practices, offering valuable lessons for educational institutions worldwide.

The study employed a three-fold methodology. Initially, the authors conducted a comprehensive review of the post-COVID-19 experiences within Islamic universities. Subsequently, they administered a structured questionnaire to academic staff and students at an Islamic university in Brunei, utilising Google survey forms. Based on the insights from the data analysis, strategies were carefully formulated. Ultimately, this informed the development of a framework grounded in the established strategies.

The significant findings from this study include the adoption of “e-Talaqqi” and how this can be related to Maqasid Shariah to produce a conceptual framework of post-COVID-19 strategies adaptable for Islamic Higher Education Institutions (HEIs) and how that can be related to Maqasid Shariah in line with the values of Islamic-based universities.

The applicability of the framework developed from data gathered at an Islamic university in Brunei might have certain limitations when extended to other Islamic HEIs. Future research should aim to cover more Islamic HEIs across various countries, thereby strengthening a broader applicability of the framework. Moreover, it is advisable that the developed framework undergoes statistical validation to fortify it.

The study's implications encompass theory, researchers, educators, policymakers, and all stakeholders concerned with the past, present, and future of HEIs, particularly in facilitating the adaptation of post-COVID-19 norms within Islamic HEIs.

This paper holds the potential to significantly benefit society by providing invaluable insights to educators and various sectors, aiding them in enhancing their learning pedagogies.

This study has developed a conceptual framework that offers strategies tailored for Islamic HEIs in the post-COVID-19 era, harmonising with the principles of Islamic-based universities, in alignment with Maqasid Shariah. Consequently, this research serves as a significant contribution to the evolution of new theoretical paradigms because of COVID-19.