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The purpose of this study is to describe an educational virtual reality (VR) photo-based tour used in an online course and investigate the influence of immersive capability on the dimensions of spatial presence and their relationship with learning-related variables.

The study employs a descriptive and an experimental methodological approach. The research objectives were achieved using a two-group (n1 = 29 and n2 = 30) experiment, employing descriptive statistics, t-test and correlation analysis.

The t-test revealed that the immersive capability had a significant effect on the sense of physical space (SP) , Engagement (EN) and negative effects (NE) dimensions. Correlations between the dimensions of spatial presence were found to confirm reports from the literature. Furthermore, some of the dimensions were found to be correlated with motivational and learning variables.

The study reported the results of a one-off experiment among 59 participants. While the results were promising, a longitudinal qualitative study could confirm the results in an actual distance learning context.

The study confirmed that adding VR photo-based tours as learning activities may enhance the learning experience of distance learners.

The study shared a case of a learning activity that can be employed for flexible education. Virtual tours can support the need for context-based learning that the geographical or political constraints may limit.

While the paper confirms previous reports on the benefits of using VR photo-based tours as learning activities, this paper has empirically shown the relationship between the dimensions of spatial presence and immersive capability in this specialized context.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

The purpose of this study was to analyze the effectiveness of simulation learning techniques within both face-to-face and online courses. The specific objective for this study was to answer two questions: (1) What are the specific benefits the simulation learning component adds to the course(s)? (2) How do students perceive the usefulness of the simulation learning component to their prepared readiness to enter the industry?

An open-ended survey was administered at the end of the course to conduct a content analysis of student perspectives of the incorporation of cloud-based, educational simulation learning into educational courses. A discussion of the students' perspective of the SIM labs benefits, ease of use and perceived usefulness of this trending learning component has been reviewed, along with the comparison of the online and face-to-face viewpoints.

Some of the identified successes were the ability to collaborate between online and face-to-face classes. Another was the ability to incorporate the application and decision-making components of the textbook into their virtual position of the simulation (SIM) learning lab from an owner's/general manager's perspective. Finally, the SIM labs provided the instructor with a measurable tool to have students compete in a healthy environment.

Valuable insights were gained into the student's perspective and helped in needed adjustments to better utilize this type of active learning. By studying a specific simulation learning component of this type of electronic learning (e-learning,) valuable contextual explanations to support the other types of active learning techniques mentioned above can be gained.

This research aims to understand how satisfied students were with their online learning experience and how actively engaged they were in their studies.

To study the breadth and depth of students' experiences and fully address the research aims, the researchers utilized a mixed method. Through a survey questionnaire with both closed-ended and open-ended questions, student responses were gathered. On a five-point Likert scale, the closed-ended questions were co-constructed. The research participants included students attending Pakistan's private university in Karachi. Participants from all programs were the authors' focus (i.e. undergraduate and graduate). A total of 552 students completed the survey questionnaire.

The study reveals students' level of satisfaction with their online encounters. Contextual restrictions, such as power outages, bad internet, a lack of a private place and administrative problems, make it difficult to access and connect during learning sessions. Additionally, the student's perception of online learning as being more secure and safe in terms of their physical safety was an intriguing finding. They also see the integration of online and in-person learning as advantageous because it might reduce travel expenses and time while also giving them access to independent study resources. Given its many benefits, this research supports the use of online learning in higher education. Online education promotes a healthy mix of teacher- and student-centered instruction.

Moreover, the findings indicate that effective non-verbal communication occurs when students interact with a teacher and colleague face-to-face. In a face-to-face teaching situation, good body language may inspire, engage and motivate students. Better learning outcomes result from being able to interpret people's body language, whether it be eye contact or posture, and alter the topic and approach. Keeping in view the recent nature of the coronavirus disease 2019 (COVID-19) pandemic, no research has been carried out on this topic to date or on such a wide-scale transition to online learning, specifically in the context of higher education in Pakistan (Dincer, 2018). This research is unique in its kind as it focuses on the impact of online learning on the affective domain as well.

Given the contextual concerns, teachers must find alternative educational insights that will enable students to reduce listening demands, improve self-learning and promote engagement.

Therefore, in the authors' context, it is a unique finding that students felt socially isolated. While numerous studies have examined anxiety, still there is still a dearth of literature regarding stress factors (Dincer, 2018). The current study provided substantial information on the impact of online learning on students' stress levels, and the consequence is that they were strained out because they felt socially isolated. Additionally, these findings are in alignment with the qualitative data showing a problem of student isolation and a lack of engagement. Since the face-to-face mode had provided them with the time and space, they were able to engage in educational socialization outside the boundaries of the classroom, such as casual conversations during breaks, gatherings at coffee shops and working on group projects at the library.

This research was conducted in the context of Pakistan.

The study aims to analyze pedagogical e-leadership in online higher education in Spain through the application of VAL-ED at the International University of La Rioja.

The methodology used to achieve the objectives has been a descriptive and quantitative methodology through a cross-sectional study based on the implementation of the questionnaire: Adaptation of the VAL-ED to the university context, developed by Palomino et al. (2022a).

Indeed, the data obtained allow the authors to affirm how both directors and supervisors, as well as teachers, have been able to evaluate the leadership behavior of directors, compared to the competence standards of VAL-ED, having obtained very positive results that show how their leadership is, without a doubt, oriented to students. Given the fact that in the second specific objective the study sets out to determine to what extent the three groups of respondents (faculty, supervisors and directors) coincide in the effective performance of the pedagogical leadership of the directors, it can be highlighted that no great differences have been found in the responses of effectiveness obtained from directors, supervisors and teachers, since the results of the resulting scores among these three groups of respondents were reasonably similar.

The research is original as the sample was collected personally by the authors of this article.

When the repercussions of COVID-19 were being absorbed by the world, the higher educational institutions (HEIs) were conceiving of strategies to run educational institutions on remote basis too, including the challenges linked with the teaching–learning as well as the management and other departmental needs. Leaning itself on the teaching–learning tectonic shifts amid the COVID-19 climes, the study reviews the status of “readiness” of the HEIs in Oman while bearing this in mind that the usage of information and communications technology (ICT) for distance learning and conventional learning has been considered as one of the parameters to judge the “quality” of the HEIs in Oman.

Documentary analysis alongside an in-depth reading of the quality audit reports sourced from the Oman Academic Accreditation Authority, which are publicly accessible are being referred for driving home the arguments in the study.

The study concludes that despite the case being in favor of distance learning from early on, the same doesn’t get reflected in the conclusions derived in the research conducted for assessing the teaching–learning mechanisms during the COVID-19 period. Therefore, the HEIs’ “readiness” in terms of ensuring the smooth transitioning to the remote learning pedagogical arrangements for meeting the challenges of the COVID-19 wasn’t efficacious.

The present study may be followed up with an understanding as to how the HEIs of Oman need to incorporate the perspectives of all the concerned stakeholders for the refurbishment of the teaching–learning process, especially in times of contingencies.

Apart from the policy-makers, the management of the HEIs of Oman needs to appreciate the need to be proactive and appreciative of the inclusion of ICT tools and techniques in the mainstream pedagogical settings.

Notwithstanding the emphasis upon the preparedness and readiness for tackling the challenges posed by the COVID-19 for the HEIs in Oman, no study has attempted to delve into the issue succinctly—the present study fills this gap.

This research aims to explore leadership approaches that foster deeper learning and facilitate the transition from traditional schooling to a model aligned with the demands of the post-industrial digital knowledge society.

Employing a mixed-methods approach, the authors conducted surveys among school principals within a network of schools embracing deeper learning based on ten distinct but interlocking criteria that define this particular model of deeper learning. Through in-depth follow-up interviews with school leaders, the authors investigated the factors and obstacles that support sustainable implementation and scalability of deeper learning, with a specific focus on the role of transformational leadership.

During the implementation of transformative practices like deeper learning, school leaders demonstrate diverse perspectives on the necessary changes for their successful integration. Leaders inclined toward a “transactional” leadership style concentrate on changes within individual classrooms. Conversely, leaders exemplifying “transformational leadership” possess a broader vision and address systemic factors such as teacher collaboration, assessment regulations and the effective utilization of time and space within schools. To achieve widespread adoption of deeper learning across schools and the education system, it is essential to recruit more transformational leaders for formal leadership positions and reorient leadership training toward transformational approaches.

The deeper learning model developed for this intervention encompasses a four-stage process: Teachers initially collaborate in small teams to co-design interdisciplinary, deeper learning units. The actual units consist of three sequences: knowledge acquisition, where students gain knowledge through direct instruction supplemented by personalized learning on digital platforms; team-based co-creative and co-constructive tasks facilitated by teachers once students have acquired a solid knowledge base and the completion of authentic tasks, products or performances in sequence III. While small groups of intrinsically motivated teachers have successfully implemented the model, achieving broader scalability and dissemination across schools requires significant “transformational leadership” to challenge traditional norms regarding teacher collaboration, assessment practices and the efficient use of time and space in schools.

This paper presents a structured model of deeper learning based on ten distinct but interlocking quality criteria tested within a network of 26 schools. The model has demonstrated transformative effects on participating schools, albeit primarily observed in smaller substructures of large secondary schools. Teachers who previously worked independently have begun to collaboratively design learning experiences, resulting in “hybrid” classrooms where physical and digital spaces merge and extend to include maker spaces and out-of-school learning environments. Traditional summative assessments have been replaced by various forms of embedded formative assessment. However, these innovations are currently driven by small groups of intrinsically motivated teachers. The research provides insights into the type of school leadership necessary for comprehensive scaling and system-wide dissemination of deeper learning.

This conceptual study investigates the adoption of education technology (EdTech) products among college students, focusing on identifying the key factors influencing the adoption process within educational institutions. Technology integration in education has rapidly gained prominence, with EdTech offering innovative solutions to enhance teaching and learning experiences. However, understanding the determinants that affect EdTech adoption remains critical for its successful implementation and impact. This paper aims (1) to identify the factors influencing the adoption of EdTech by college students (2) to create a conceptual model that shows the connections between the elements that lead to college students adopting EdTech.

The research employed a mixed-methods approach, combining qualitative data analysis and conceptual modeling to achieve the objectives. The underlying knowledge required to create a qualitative data gathering tool was obtained through a thorough literature analysis on innovation dissemination, educational psychology and technology adoption. College students, teachers and administrators participated in semi-structured interviews, focus groups and surveys to provide detailed perspectives on their attitudes about and experiences with EdTech. The Scopus and Web of Science databases are searched for relevant information in an organized manner in order to determine the factors influencing the adoption of EdTech. Second, an extended version of the technology adoption model is adopted to develop a qualitative data-based conceptual framework to analyze EdTech adoption in the Indian context.

Overall, by highlighting the critical components that emotionally influence college students' adoption of EdTech products in educational institutions, this course adds to the body of information already in existence. The conceptual framework model serves as a roadmap for educational stakeholders seeking to leverage EdTech effectively to enrich the learning environment and improve educational outcomes. By recognizing the significance of the identified factors, academic institutions can make informed decisions to foster a climate conducive to successful EdTech integration.

A comprehensive conceptual framework model was developed based on qualitative data analysis to illustrate the interrelationships between the identified factors influencing EdTech adoption. This model presents a valuable tool for educational institutions, policymakers and EdTech developers to comprehend the complex dynamics of implementing these technological solutions.

The findings of this study demonstrated a number of important variables that affect the uptake of EdTech products in educational settings. These factors encompassed technological infrastructure, ease of use, perceived usefulness, compatibility with existing academic practices, institutional support, financial constraints and individual attitudes towards technology. Additionally, the research explored the significance of institutional preparation for embracing technological advancements as well as the influence of socio-cultural elements.

The Open University (OU) in the UK has been providing distance learning since 1969. The purpose of this case study is to outline the impact that The OU Library in the UK has had on student learning outcomes by embedding academic literature and digital and information literacy (DIL) skills materials in the curriculum.

The case study presents an overview of the university context, including how the curriculum is developed. It discusses the role of the library in this process, outlining how librarians work with academic staff to embed skills and literature in the curriculum. Unique in-house technical solutions are presented to aid future approaches to providing distance library services.

The impact of the library on university education is discussed. Findings from qualitative research are presented, outlining the value the university places on the role of the library as an educational partner. Quantitative research studies are also presented, outlining the positive relationships between library content access and training attendance with student success.

As universities are considering their distance-learning offerings post-COVID-19, it is hoped that this case study will help both library and university administrators examine the role of their libraries in this strategy.

A case study on the approach The OU Library takes to support education in its broadest sense has not been published before.

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.