Search results

Educators in the accounting discipline are faced with the challenge of finding innovative ways to accommodate the flexible learning styles of Millennial students, using “in classroom/contact time” effectively and decreasing transactional distance between students and educators in large classes. In an attempt to address these challenges, this paper aims to describe the implementation of basic e-learning tools (podcasts, vodcasts and voice-over-PowerPoint) as supplementary and substitutional tools in an undergraduate taxation curriculum. The tools were implemented as part of a student-centred approach to the facilitation of learning, embedded in the Blended Learning Theory. The paper reports on students’ use and experience of various basic e-learning tools, as well as the impact of the use of these tools on student performance.

An action research methodology was followed, and data were collected by way of a voluntary, descriptive student survey and student class lists. A total of 387 students completed the survey.

Students appear to have access to devices and data to use e-learning tools. They perceive these tools as helpful study aids and prefer synchronous, substitutional tools. Use of the tools does not have a significant impact on performance; however, it does appear to have a positive impact on the learning environment and student engagement.

The results of the study may be of benefit to educators and curriculum designers who are responsible for reviewing and updating the content delivery methods of undergraduate taxation curricula in large classes with diverse student populations. These results add to the limited body of knowledge on the implementation of basic e-learning tools in a South African accounting education setting.

The purpose of this paper is to evaluate the relative effects of three facets or connectors argued to be vital for learners in successful e-learning outcomes in developing economies.

Data were collected through a survey involving 130 learners. A stratified sampling technique was employed. Regression analyses making use of linear, multiple and PROCESS macro in Statistical Package for the Social Sciences (SPSS) were used to analyze data.

Technological self-efficacy and social presence are the most important facets needed by participants for effective learning in higher education institutions in developing countries. Learning tools meant to enhance teaching and learning and also contribute to learner satisfaction.

The findings of the study provide insights to academic administrators to pay close attention to the three connectors in order to ensure quality learning. The findings guide higher learning institutions to adequately and selectively pay attention to the three connections. Deliberate efforts focusing on students' situations, opinions and concerns are vital for learner satisfaction in developing economies.

This study represents a first attempt to examine the effect of the “right connections” for effective learning in developing economies, using a quantitative approach. The findings bring into attention the role of assessing learner inputs and virtual environment in boosting the effectiveness of e-learning. The findings also result in a model that should lead to increased learner satisfaction through the implementation of right connections. The study “disputes” the relevance of a universal e-learning system.

The purpose of this study was to identify the effects of emerging technologies in e-learning on university librarians and libraries. The study also intended to identify emerging technologies in e-learning and challenges being faced to implement e-learning technologies.

The preferred reporting items for the systematic review and meta-analysis method was applied as the research methodology for conducting the study. A total of 25 core studies published in peer-reviewed journals were selected to conduct a systematic literature review. The data were analysed through a thematic approach.

The results of the study revealed that e-learning technologies assist library professionals to strengthen their expertise and support them in initiating smart library services to deliver customer-focused services. A shortage of skilled manpower, the unavailability of adequate IT infrastructure, a lack of technical support, copyright issues, poor planning and ineffective library leadership are major challenges to implementing emerging technologies in e-learning.

The study offers theoretical implications by adding valuable literature to the existing body of knowledge. It has a societal impact as it has offered recommendations and practical solutions for the successful adoption of emerging technologies in e-learning. The study also offers managerial implications to develop fruitful policies for implementing e-learning technologies for the innovative sustainable competence development of library manpower and implementation of smart library services.

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.

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.

Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.

Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.

Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

The main purpose of this study is to examine whether quality factors as the antecedents to learner beliefs can affect learners' intention to use an e‐learning system.

This study gathered sample data from eight high‐tech companies in Taiwan. A total of 680 questionnaires were randomly distributed, 522 questionnaires were returned for a response rate of 76.76 percent, and 483 usable questionnaires were analyzed, with a usable response rate of 71.03 percent. Data were analyzed by using structural equation modeling.

Information quality, service quality, system quality, and instructor quality, as the antecedents of e‐learning acceptance can provide detailed accounts of the key forces underpinning employees' perception with regard to their beliefs (i.e. perceived usefulness, perceived ease of use, and perceived enjoyment), and this situation can further enhance employees' usage intention of the e‐learning system.

Based on the extended technology acceptance model and the updated DeLone and McLean information systems success model, this study integrates related e‐learning quality factors including information quality, service quality, and system quality into the research model and further contributes additionally to the identification of instructor quality that may lead to e‐learning acceptance. Also, it should be noted that the empirical evidence on capturing both extrinsic and intrinsic motivators for completely explaining quality antecedents of e‐learning acceptance is well documented in this study. Hence, this study contributes significantly to the body of research on evaluating the quality antecedents of e‐learning acceptance.

The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively.

A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems.

A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning.

The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

This study aims to depict and probe into the building tension, stress and depression to which Jordanian university students have been vulnerable after the compulsory shift to online learning and their prolonged use of digital tools.

The researchers used a five-construct questionnaire, namely, use of digital tools in e-learning, sleeping habits, social interaction, psychological reactions and academic performance, to elicit the responses of university students in Jordan concerning the psychological impact of COVID-19’s e-learning digital tools on their well-being. In total, 775 university-level students representing Jordanian public and private universities were asked to fill in the questionnaire, and their responses were statistically analyzed.

The results showed that the prolonged use of digital tools, lack of face-to-face interaction and heavy load of assignments have led to anxiety, change of sleeping habit, distraction and a stress-building environment, perhaps resulting in depression. This was aggravated by COVID-19’s strict regulatory measures of social distancing, lockdowns, health threats and eroding family income. The prolonged and escalating social, psychological, loss of affection and worsening economic conditions have increased the number of psychological disorders and a drop in students’ academic performance.

This study is useful for educational leaders and policymakers, providing guidance and insights on how higher education institutions can support students’ mental health and psychological well-being, especially in times of crisis. Consequently, the higher education sector should be prepared to function more efficiently and effectively in future emergency situations.

While different studies have investigated the impact of COVID-19 on the education sector globally, little attention has been given to developing countries in the Middle East. By focusing on the Jordanian example, the present study will fill a gap in the research endeavors addressing the prolonged use of e-learning digital tools.

E‐learning is emerging as a potential delivery medium for education and training. This is evident from the increasing number of educational institutions and organizations adopting e‐learning. In India, there has been an upsurge in the number of students going for management education. But, before management institutes embark on this e‐learning journey, it is important to assess student readiness for this medium. The purpose of this paper is to examine the awareness levels, degree of familiarity and readiness to accept e‐learning environment.

Exploratory study and personal interviews were conducted to design the instrument which was administered to 240 students pursuing management education at the Indian Institute of Management, Ahmedabad (IIM‐A), which is a premier business school in India. A total of 154 duly filled questionnaires were used for data analysis. Factor analysis, cluster analysis and chi‐square test were carried out to meet the objectives of the study.

Factor analysis resulted in identification of five factors which were given names. Further, two clusters were identified among the respondents. To examine if the cluster profile varied in demographic variables, a chi‐square test showed that none of the demographic variables are statistically related to the clusters.

The sample was comprised of students of a business school and therefore it may not be representative of all students studying business management. Second, since the sample comprised only 17 female students, generalization of results is difficult.

The research holds relevance, as an assessment of prior exposure to technology and comfort level, attitude, behavior and motivation may determine the e‐learners’ readiness to adopt or not adopt this medium.

The paper brings forth student readiness for e‐learning as a medium of education in India. This may serve as a guide to those business schools which have started delivering management education or plan to deliver online education in future.

The purpose of this paper is to define standard guidelines for the development of a wiki collaboration space for e-Learning, in order to provide collaborative activities among students, and between instructors and students.

The general requirements and extended features of wiki collaboration space were determined by conducting a requirement study and discussion with major stakeholders, i.e. students and tutors. Then, the wiki collaboration space was developed based on an open source wiki system. Finally, a wiki collaboration space was evaluated in terms of usability and collaboration effectiveness.

A comparison was performed between the wiki collaboration space and the original wiki in students’ works in an online course. The results showed that the effectiveness of collaboration and usefulness of wiki collaboration space were higher than original wiki in collaborative assignment.

As for practical implications, e-Learning developers/managers can use the outcome of this study as a guideline to integrate wiki and/or other social software to supplement e-Learning systems for better collaboration.

There is a need to define standard guidelines that provide the necessary features for wiki in e-Learning. In this study, extended features of wiki as collaborative learning tool were identified and evaluated to meet the needs of students in e-Learning environment.