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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.

This paper presents the features and relevance of open distance learning in the context of the socio-economic conditions of people living in the Union Territory of Jammu and Kashmir (J&K) in India. Although the primary purpose of the present study was to ascertain the effectiveness of the learner support services (LSSs) and different facilities offered by the open distance learning (ODL) institutions in that specific region. On the basis of these findings, few suggestions are made for the improvement in the support services, in order to make the ODL system more responsive to the area-specific needs of the learners, especially those residing in inaccessible areas such as J&K.

A survey-based descriptive methodology was applied to conduct this study. The data extracted from primary and secondary sources were analysed to reach certain conclusions. In total, 1,200 distance learners constituted the sample of the research. A semi-structured questionnaire was designed and distributed amongst learners and academics in the region to obtain their feedback and opinion on different aspects of support services and facilities offered to ODL learners.

Results of the study revealed that overall, the LSSs were satisfactory on different parameters, although they slightly varied from institution to institution. However, there was still scope for improvement in certain areas, where institutions further need to make serious efforts to address the identified gaps for improving the LSS and make teaching-learning more learner-centric in view of their specific requirements and local circumstances of J&K.

The present study focusses on presenting an overview of the only major components of LSS offered by ODL institutions and covers six distance education institutions (DEIs) located in different geographical locations within the limited jurisdiction of J&K. There is still scope to make focused (institution-wise) studies in a more specific situation and context to ascertain the problems in a more realistic way.

Although the study has been conducted in a specific territory of J&K, the findings reported in the paper may be equally useful for the other ODL institutions with similar characteristics or located in similar geographical locations, as support services are essential common components of institutions offering distance education programmes or courses.

The study is original research work conducted in the specific context of J&K, and its findings are based on the primary and secondary data collected from learners and other stakeholders of the selected ODL institutions. This work may be significant for the DEIs of J&K to get familiar with the essential components of LSS and develop a mechanism to further improve the academic and administrative support services for distance learners.

The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions.

The case study was carried out by observing the views of the learners on the use of gamification in distance learning and studying the participation level of computer science learners before and after the gamification environment was added to a specific topic through the learning management system (LMS). The pre-game and post-game effects on learners' participation against various factors using t-tests were also investigated in this study.

The study reveals that gamification had a positive and highly significant influence on the learners' participation and engagement in the e-content provided via the LMS. The post-gamification mean score (5.62) was higher than the pre-gamification mean score (2.36), and the overall paired t-test (5.301) value was significant at the 1% level of significance. Some of the challenges faced during the study were communication with the learner, lack of technical skills of the learner, duration of study, etc.

This study will help in understanding the perception and effect of gamification on computer science learners in ODL mode in India. The study succeeded in demonstrating that the use of gamified elements results in increased learner participation.

This paper aims to develop indicators of happiness in learning of the Thai open university (TOU)'s undergraduate students.

Sampling for the study was comprised of two groups. Group I comprised eight lecturers who are experts in their disciplines and six students who were purposively sampled. The focus group was used to validate the appropriateness of the indicators. In Group II, 332 students were engaged in a multistage sampling process. The responses were analyzed using descriptive statistics, coefficient correlation, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The indicators of happiness in learning of undergraduate students of TOU were classified in six categories. These included satisfaction with learning environment (five indicators), learning anxiety (five indicators), satisfaction with learning (five indicators), enthusiasm to learn (six indicators), self-satisfaction (six indicators) and readiness to learn (seven indicators). The six categories explained happiness in learning of undergraduate students of TOU at the 65% and fit empirical data.

The TOU can use the indicators for the assessment of happiness in learning of its students as well as guidelines for the improvement of its student learning environments.

There have been very few studies on indicators of happiness in learning of TOU students. Most were done at the basic education level. This study disclosed the six factors affecting happiness in learning of TOU students; therefore, it should inspire and draw attention of many in the field of higher education distance learning.

Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience.

The development of LOs and e-pedagogical practices have significantly influenced and changed the performance of e-learning systems. LOs are self-contained, reusable units of instructional content that create instructional materials, such as online courses, tutorials and assessments. They provide a flexible and modular approach to designing and delivering e-learning content, allowing educators to easily customise and adapt their materials to the needs of their students. e-pedagogical practices refer to the use of technology to enhance and support the teaching and learning process. They include strategies such as online collaboration, gamification and adaptive learning to improve student engagement, motivation and achievement.

To achieve this objective, this study consists of two main phases. First, the authors extract metadata from LOs using latent semantic analysis algorithms, which are considered a strong tool in web-mining exploration techniques. Second, they identify LOs according to a particular form of similarity using fuzzy c-means (FCM) algorithms. To improve classification accuracy, the FCM is used as a clustering algorithm.

Finally, in order to assess the effectiveness of LOs with FCM, a series of experimental studies using a real-world dataset are conducted. The results of this study indicate that the proposed approach exceeds the traditional approach and produces good results.

This study aimed to acquire a comprehensive understanding of the digital literacy skills possessed by first-year students and how they impact students' participation in online classes.

This research was conducted using a quantitative method to investigate first-year students' digital literacy and its effect on their interaction in online learning. Nine hundred and two students from 19 online English writing classes were invited to complete an online survey questionnaire. The sampling approach was conducted by a nonrandom method. Prior to the data collection, the instrument was reviewed by researchers and peers with quantitative and Indonesian language backgrounds. The procedure was conducted to ensure that the instrument covered the objective of the research.

The results showed that students digital literacy in the first semester, in general, is still in the low category. The average score for each competency area still varies. The average score on information and data literacy competence was low. The average score for communication and collaboration competence was in the medium category. The average score for the digital content creation competence area is low.

The authors suggest that educational institutions should consider organizing primary student digital literacy training or optimizing the lecture process to improve students' digital literacy and further research could usefully explore how information and communication technology (ICT) skills affect student performance.

The study reveals the importance of digital literacy of students for online teaching learning. In order to achieve quality teaching in online methods, the digital literacy is a must for students. The study highlights the limitations of the study and indicates the necessity for further research in this area. The findings have immense implications for practice in a distance learning university, where online teaching learning has become a new normal post-Covid-19.

The authors present new findings on the digital literacy of first-year students and their effect on their interaction in online learning. The authors also make connections between digital literacy and student engagement in online classes, which is a significant contribution to the field. This paper also provides a comprehensive review of the literature on digital literacy and e-learning, which adds to the scholarship in the field.

The purpose of this paper is to understand the market for various e-learning platforms existing globally. The global pandemic transformed the traditional education sector into an e-learning industry and impacted the digital education sector proportionally. The wide impact on people to maintain a social distance shortened the space and enhanced student engagement with digital screens. The merchandise of electronic gadgets and e-learning platforms boosted global revenues ever before.

A digital data analytical tool retrieved the data for e-learning companies. While screening companies, the authors came up with more than 150 and later narrowed it to 71. Furthermore, revenues and market capitalisation data were collected from open-source websites of respective e-learning platforms at national and international stock exchanges. The data from the year 2018 to 2021 was used to predict the compound annual growth rate (CAGR) of the 2022–2027 market value of e-learning companies. The demographics of the statistical data were plotted using GraphPad Prism and Python Plotly. Also, the study attempted to underpin the association of annual revenue with market capitalisation for e-learning companies using Statistical Package for the Social Sciences (SPSS).

The financials of the e-learning platforms were compared from 2018 to 2021 based on the stock market exchange, which showed a gradual increase in revenues and influenced the market capitalisation by the 2022 financial year. Also, simultaneously validating the CAGR of 13.16%, the expected revenues from 2022 to 2027 were $830bn. The data plotted on the atlas choropleth exhibiting the e-learning users increased globally by 2022. The Web traffic data validated by the browsing gadget helped to validate the increase in revenues of the electronic gadget companies.

To the best of the authors’ knowledge, this is one of the pioneer studies postulating the study of e-learning demographics comparing the e-learning influence on the global digital market, Web user traffic and the education sector. The demographics of e-learning users by age, gender and gadget distribution validate the e-learning induction globally.

This paper aims at identifying crucial factors that affect student satisfaction with synchronous e-learning. For this purpose, a research model comprised of perceived usefulness (PU), perceived ease of use (PEU), computer anxiety (CA), self-efficacy (SE), system accessibility (SA), perceived interaction (PI) and perceived flexibility (PF) was developed.

For the purpose of this research, an online questionnaire was used. All of the measures are adapted from previously validated instruments and adjusted to fit the research aim. Accordingly, the questionnaire resulted in 49 items, which yielded eight constructs. To test the hypothesized model, structural equation modeling was employed on a valid sample of 263 higher education students.

According to the results, PU, PI, CA and flexibility were all found to be significant. PU demonstrated the most contribution following by PF and PI.

Even though this study has included some critical factors theorized to influence e-learning settings, it does not incorporate all elements. In terms of sample size, a bigger sample would be more favorable. Lastly, the study took place during the COVID-19 pandemic, where free movement and social activities were restricted, which may have influenced students' perception of synchronous e-learning.

This research contributes to a greater understanding of the student experience with synchronous e-learning, and its findings can provide relevant stakeholders, particularly e-learning practitioners, with insights into effectively adopting and improving such settings.

This study uses an integrated model of several constructs to investigate student satisfaction in terms of just synchronous e-learning rather than e-learning in general. Several validated instruments were used and tested in a new context and sample. Additionally, the study provides evidence during COVID-19.

The purpose of this study is to investigate the effects of the remote training process on distance learning with the application of neurometrics and investigate the features of the training that promote better synchronization between trainers and trainees in terms of cognitive and emotional processes favorable to learning, during a condition of remote professional training.

The authors proposed a hyperscanning paradigm together with a conversational analysis to assess remote online training by collecting neurophysiological measures (frequency band analysis: delta, theta, alpha and beta) via multiple wearable electroencephalograms (EEGs) during a session of remote training.

Results showed increased delta activity in the trainer when he was leading the session and when the participants were exchanging feedback. The delivery of feedback was also linked to increased theta activity compared with the normal activity of the trainees. Finally, synchronization of EEG between trainer and trainee groups was found for the beta band.

This study proposes to adopt a new multi-methodological approach that combines conversational analysis with the detection of remote neurometric parameters, in the field of educational neuroscience applied to organizational contexts.

Findings can help trainers in the development of their skills as trainers and in modeling remote training in organizations.

Findings highlight the crucial role of particular phases of the e-learning process, such as the feedback phase and the interaction trainer group, and they pointed out the relevance of neurophysiological measures to test the e-learning process.

Usage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem that requires consideration of many criteria and inputs from different parties like students, academicians, education managers, etc. Usability evaluation of LMS is one of the critical steps in deciding which LMS system to be adapted. There are several studies related to usability evaluation of LMS in the literature, but utilization of MCDM methods and real life case studies are very rare. Based on this motivation, perceived usability evaluation of SAKAI-LMS that is in use at an academic department is performed by employing axiomatic design procedure (ADP). This paper aims to discuss the aforementioned issues.

ADP is considered as a suitable MCDM method for perceived usability evaluation as it allows an easy approach to data fusion and setting performance targets for decision makers. A questionnaire is developed to collect data from three types of system users about predetermined usability criteria and their importance. After detailed statistical analyses and weighting criteria via analytical hierarch process (AHP), ADP is carried out to evaluate usability of the LMS.

It is found that the proposed ADP based approach is easy to apply in practical circumstances and able to quantify perceived usability of the LMSs.

The proposed approach provides an easy and practical evaluation of perceived usability of the LMSs for decision makers who are responsible for the implementation of LMSs. The developed novel and practical MCDM-based perceived usability approach for LMS in this study has been verified through a real life case study at an academic department. Perceived usability results, therefore, reflects only the views of this focus group and are not generalizable.

First time in the literature, a comprehensive ADP based MCDM approach is proposed based on the analyses of the related literature and information gathered from the system users.