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1 – 10 of over 9000Saba Sareminia and Vida Mohammadi Dehcheshmeh
Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities…
Abstract
Purpose
Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of stakeholders' satisfaction. This research focuses on an intelligence-driven solution to recommend the most effective approach to education policymakers by considering the unique characteristics of all components within the educational system (course type, student and teacher characteristics, and technological features) to achieve a sustainable E-learning system.
Design/methodology/approach
Through a systematic literature review and qualitative content analysis, a conceptual model of the critical components influencing E-learning quality and satisfaction has been developed. The proposed model comprises six main dimensions: usage, service quality, learning system quality, content quality, perceived usefulness, and individual characteristics. These dimensions are further divided into 15 components and 114 sub-components. A data mining process encompassing two scenarios has been designed to prioritize the components impacting E-learning success.
Findings
In the first scenario, data mining techniques identified the most influential components based on the features outlined in the conceptual model. According to the results, the components affecting E-learning quality enhancement in the studied case are “usage purpose, system loyalty, technical and supportive system quality, and student characteristics.” The second scenario examines the impact of individuals' personality types and learning styles on E-learning satisfaction across various aspects (Average System Satisfaction, Overall System Satisfaction, Efficiency and Effectiveness, Skill Enhancement, and Personal Enhancement). The findings reveal that, with an accuracy of over 70%, E-learning satisfaction for diplomat and guard learners is influenced by the alignment between “course learning style” and “student-suggested course learning style.” Conversely, for analyzer and researcher types, satisfaction levels are impacted by the “learning style compatible with their personality type.”
Originality/value
Implementing a dynamic model founded on data mining enables educational institutions to personalize the E-learning experience for each individual as much as possible. The study’s findings indicate that “achieving higher satisfaction levels in the E-learning process is not necessarily contingent upon providing a learning style congruent with learners' personality types.” Rather, perceived and suggested learning styles exert a more profound influence. Consequently, providing prescriptive principles for higher education institutions seeking to enhance E-learning quality is inadvisable. Instead, adopting a dynamic, knowledge-based process that furnishes recommendations to policymakers for each course—tailored to the specific course type, teaching records, current processes and technology, and student type—is highly recommended.
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Mona Jami Pour, Javad Mesrabadi and Mohammad Asarian
Reviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the…
Abstract
Purpose
Reviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the DeLone and McLean (D&M) information system (IS) success model. However, the various relationships in the D&M model have found different levels of support or even contradictory results within the empirical literature. To synthesize the existing knowledge in the field of e-learning success, the authors have conducted a meta-analysis of e-learning success studies using D&M to combine the quantitative results and validate the model in this field. Furthermore, a moderator analysis involving user types was performed to examine the situation under which they may have different effects.
Design/methodology/approach
For this purpose, through a systematic review of the studies, 44 independent studies were selected from 29 qualified related journals. In order to analyze the quantitative results of the studies, the meta-analysis of the effect sizes of the casual relationships in the D&M model has been used.
Findings
The findings indicated that all relationships of the model were supported. It was also revealed that the extent of effect sizes of the examined relationships depends on the type of user. Except for one relationship (user satisfaction and net benefit), all effect sizes of employees were more than those of students and teachers.
Research limitations/implications
This meta-analysis reviewed the relationships found in the literature on D&M constructs in e-learning contexts. This study better explains the e-learning success factors by consolidating contradictory findings in the past researches and contributes to the existing e-learning success literature. The findings can assist educational institutions and organizations in decision-making because the findings resulting from the meta-analysis are more consistent than previous primary researches.
Originality/value
Despite the widespread use of the D&M model in the field of e-learning success, no study has yet consolidated the quantitative findings of these studies and the current field abounds in some controversies and inconsistent findings. This paper integrates the results of empirical studies that examined the relationships within the D&M model. The main contribution of this paper, which is the first of its kind, is to apply meta-analysis to reconcile the conflicting findings, investigate the strengths of the relationships in the D&M model and provide a consolidated view.
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Sodam Kim, Jumin Lee, Sang-Hyeak Yoon and Hee-Woong Kim
This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering…
Abstract
Purpose
This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering three research questions: (1) What are the students’ experiential factors that impact e-Learning? (2) How do these experiential factors affect e-Learning success? (3) In what ways does a multimethod provide a comprehensive perspective and an in-depth understanding of students’ e-Learning experiences in the new normal?
Design/methodology/approach
This study applied a mixed-methods sequential approach using exploratory, confirmatory and complementary studies. First, this study undertook a text-mining exploratory analysis of the review data to extract e-Learning topics. Then, based on the Information Systems (IS) success model, this study identified an integrated framework drawn from the results of the text-mining analysis. Second, this study proposed an e-Learning, experience-based success model and corresponding hypotheses and conducted a confirmatory study with surveys to validate the model. Third, this study conducted in-depth interviews to better identify the phenomenon of interest.
Findings
The five factors extracted from the first stage are system quality, lecture content, teaching quality, online interaction and achievement. This study subsequently confirmed the significant relationships between the e-Learning success factors in the second stage based on the IS success model. Finally, a complementary study identified the importance of interactivity for e-Learning success in the new normal.
Originality/value
To the best of the authors’ knowledge, this paper is the first to develop an e-Learning success model using a comprehensive mixed-methods approach.
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Sevgi Ozkan, Refika Koseler and Nazife Baykal
The purpose of this paper is to demonstrate the importance of undertaking a systemic view of learning management systems (LMSs) evaluation addressing the conceptualization and…
Abstract
Purpose
The purpose of this paper is to demonstrate the importance of undertaking a systemic view of learning management systems (LMSs) evaluation addressing the conceptualization and measurement of e‐learning systems success in higher education.
Design/methodology/approach
The paper adopts a quantitative case perspective and derives a conceptual model for e‐learning assessment (Hexagonal e‐learning assessment model – HELAM). The model is empirically tested for validity and reliability in the university setting.
Findings
Qualitative and quantitative findings have been presented, which will be valuable for academics and practitioners doing research in e‐learning evaluation. The findings support the flexibility and relevance of HELAM as an e‐learning assessment model. It highlights a number of success measures which are grouped under six dimensions.
Research limitations/implications
Further research efforts should explore new dimensions or test the causal relationships among proposed dimensions within the boundary of e‐learning. In that, the paper is limited contextually where attention should be made not to generalize the findings beyond the empirical findings within the case analysis.
Practical implications
The paper supports a practitioner perspective through a consideration of a holistic approach to e‐learning assessment. E‐learning system developers may find the findings useful when designing and implementing the LMS.
Originality/value
The paper is original as the conceptual model has been derived through both theoretical constructs and empirical analysis. It provides an innovative approach to e‐learning assessment.
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Shahid Farid, Rodina Ahmad, Mujahid Alam, Atif Akbar and Victor Chang
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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George Macgregor and James Turner
The use of e‐learning is largely predicated upon the assumption that it can facilitate improvements in student learning and therefore can be more effective than conventional…
Abstract
Purpose
The use of e‐learning is largely predicated upon the assumption that it can facilitate improvements in student learning and therefore can be more effective than conventional techniques. This assumption has been supported by some in the literature but has been questioned by a continuing body of contrary or indifferent evidence. The purpose of this paper is to improve the theoretical understanding of the variables influencing e‐learning effectiveness, the manner in which these variables have been studied to date, and to propose a suitable conceptual model of e‐learning effectiveness to aid its evaluation.
Design/methodology/approach
The paper revisits and critically reviews major contributions to the e‐learning effectiveness literature.
Findings
Owing to a variety of issues prevalent in the literature, it is clear that the variables influencing effectiveness are multifarious and few researchers impose adequate controls or factor them into research designs. Drawing on the work of Dewey, Englebart, and Kaplan, a conceptual framework of e‐learning effectiveness is proposed. This model maps out the key variables involved in the study of e‐learning effectiveness and the interactions between variables.
Originality/value
It is anticipated that such a model will assist researchers in developing future evaluative studies which are both sufficiently robust and holistic in design. It is also hypothesised that studies designed using the conceptual model will be more likely to yield results corroborating the ability of e‐learning to affect improvements in student learning.
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Anastase Adonis and Khalil Drira
This paper aims to provide a methodological road for the next generation of e‐learning environments.
Abstract
Purpose
This paper aims to provide a methodological road for the next generation of e‐learning environments.
Design/methodology/approach
This paper considers a survey of recent publications (1995‐2002), which aim to provide practical and theoretical indications and advice, which are coupled with practical experimentations.
Findings
The paper provides road‐mapping elements, indicating the impact on services and systems to be expected by this design approach.
Research limitations/implications
The survey is based on a selection of sources and it is not exhaustive. The methodology experiments that are used for argumentation are based on the authors’ platform.
Practical implications
The paper presents a useful source of knowledge for researchers and advanced students.
Originality/value
This paper identifies a road for advanced e‐learning systems, and can help researchers and those in industry who desire to introduce and understand the design methodological context of advanced e‐learning systems.
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Luyan Teng, Qinyi Tan and Ali Ehsani
One of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation…
Abstract
Purpose
One of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.
Design/methodology/approach
Cloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.
Findings
The results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.
Practical implications
The proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.
Originality/value
CELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.
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Mohammad Issack Santally, Yousra Banoor Rajabalee, Roopesh Kevin Sungkur, Mohammad Iqbal Maudarbocus and Wolfgang Greller
The University of Mauritius (UoM) established as a traditional face-to-face university has been engaged in distance education since 1993 and in e-learning since 2001 to establish…
Abstract
Purpose
The University of Mauritius (UoM) established as a traditional face-to-face university has been engaged in distance education since 1993 and in e-learning since 2001 to establish itself as a dual-mode institution. In a context where it has engaged itself to promote its internationalization of online courses and a digital learning transformation process, there is a need to assess and evaluate its current e-learning capability to identify areas of good practices and opportunities for improvement to ensure a high quality of e-learning provisions. The paper reports the results of an assessment of the e-learning capability and the related quality assurance processes of the University of the Mauritius using the e-learning Maturity Model (eMM). Quality assurance in higher education is still a key issue, especially with the ever-growing influence of technology and the disruption that the Internet has caused with respect to e-learning and distance education provisions. No university in Mauritius has ever engaged in such an assessment of their e-learning capabilities.
Design/methodology/approach
The EMM and the Open Learning Consortium Quality Scorecard Suite were found to be the most complete models in terms of available documentation and description of how to carry out the evaluation with respect to each process area as compared to the other models described in the literature review section. The EMM was, however, chosen as the model to be used for the UoM, given that there already exists a body of knowledge about its applications in different universities that operate in similar contexts. The researcher is at the heart of the process in the role of an ‘eLearning quality auditor’. Therefore, the research used mainly desk studies, and analysis of annual reports as well as a consultative approach with key stakeholders based on a consensus model to reach a rating for each element in the EMMv2.3 instrument. The rating is based on evidence that is available and verifiable through desk research and documentation.
Findings
We found out that the main strengths of the university were in the learning process areas mainly because of the need to follow existing quality assurance procedures in place at different phases of a course of life cycle, irrespective of the course modality. On the other hand, across all process areas, the university fared well in the delivery dimension, and this finding is consistent with other universities that were assessed using the EMM. However, it was found that the EMM in current form was more adapted for the assessment of universities operating fully as open or virtual universities rather than those operating as dual-mode institutions or as traditional universities promoting technology-enabled learning. The weakest link was the optimization dimension across all process areas, and the process area that needs more attention for improvement was the evaluation process area. Overall, the university can reasonably be pitched at level two (Repeatable) of the capability maturity model scale used for information systems maturity assessment, but operating towards level three (Defined).
Originality/value
The work presented here has never been carried out for any university in Mauritius, and there have been no reported evaluations or applications within the African region. It allows the university to benchmark and compare its standing with respect to other universities operating as dual-mode institutions and as a reference for other universities in Mauritius as well.
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Muddesar Iqbal, Sohail Sarwar, Muhammad Safyan and Moustafa Nasralla
The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.
Abstract
Purpose
The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.
Design/methodology/approach
Preferred reporting items of systematic reviews and meta-analyses guidelines have been used for a thorough insight into associated aspects of e-learning that complement the e-learning pedagogies and processes. The aspects of e-learning systems have been reviewed comprehensively such as personalization and adaptivity, e-learning and semantics, learner profiling and learner categorization, which are handy in intelligent content recommendations for learners.
Findings
The adoption of semantic Web based technologies would complement the learner’s performance in terms of learning outcomes.
Research limitations/implications
The evaluation of the proposed framework depends upon the yearly batch of learners and recording is a cumbersome/tedious process.
Social implications
E-Learning systems may have diverse and positive impact on society including democratized learning and inclusivity regardless of socio-economic or geographic status.
Originality/value
A preliminary framework of an ontology-based e-learning system has been proposed at a modular level of granularity for implementation, along with evaluation metrics followed by a future roadmap.
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