How to facilitate self-regulated learning? A case study on open educational resources

Wong, Tak‐Lam; Xie, Haoran; Zou, Di; Wang, Fu Lee; Tang, Jeff K. T.; Kong, Anthony; Kwan, Reggie

doi:10.1007/s40692-019-00138-4

Cited by 25 publications

(21 citation statements)

References 32 publications

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“…Respondents reported their perceptions regarding their satisfaction with and the importance of each item of the CALL system using Shee and Wang's [35] web-based e-learning system (WELS) questionnaire, which is often used to collect satisfaction data regarding e-learning systems [26][27][28][29][30]. The WELS questionnaire contains 13 items under the four following dimensions: learner interface, learning community, system content, and personalization.…”

Section: Samplesmentioning

confidence: 99%

“…As mentioned earlier, some scholars also use fuzzy methods to explore the performance evaluation of online learning and provide good suggestions for improvement. Those scholars include Çelikbilek et al [26], Lange [27], Ma et al [28], Shanmugam et al [29], and Wong et al [30]. In order to improve the data collection of fuzzy numbers, which is complicated and may reduce customers' willingness to answer questions, Chen et al [18] developed a discriminate index to determine whether a service item requires improvement by having customers rank how important a service item is to them and how satisfactory they found that service item to be.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Evaluation Model for Enhancing E-Learning Systems

Lee

Wang

2019

Mathematics

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As the environment and information-technology conditions of the Internet of Things matured, various applications were launched. In education, e-learning is promoted so that students’ learning is no longer restricted to the classroom. E-learning schedules are flexible, and learners’ commuting costs are low. Apparently, improving the quality of e-learning systems can enhance learners’ learning effectiveness, satisfaction, engagement, and learning efficacy. A performance evaluation matrix is a useful tool for collecting users’ opinions to assess the performance of an operating system, and it is widely used to evaluate and improve performance in numerous industries and organizations. Therefore, this study used this matrix to construct a model for evaluation and analysis, providing suggestions on improving e-learning systems. This approach maintained the simple response model of Likert scales, which increases the efficiency and accuracy of data collection. Furthermore, the fuzzy membership function of the discriminant index was constructed based on the confidence interval, thereby solving the problems of sampling error and the complexity of collecting fuzzy linguistic data. Besides, we simplified calculations by standardizing test statistics to increase evaluation efficiency. As a result, this study improved the quality of e-learning system, enhanced users’ learning effectiveness, satisfaction, and engagement, and achieved the goal of sustainability.

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Section: Samplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation Model for Enhancing E-Learning Systems

Lee

Wang

2019

Mathematics

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“…The study of (Wong, Xie, Zou, Wang, Tang, Kong, & Kwan, 2019) focused on studying the organized self-learning using the OER instead of traditional teaching for students of elementary schools, this was done by conducting three surveys that included three samples represented by 150, 168 and 149 students respectively. The results of the study concluded that OER can not only help students learn in formal classrooms, but can also help students' self-organized learning.…”

Section: Literature Reviewmentioning

confidence: 99%

Integration of Open Educational Resources in Higher and General Education Institutions: from the Perspectives of Specialized and Concerned Bodies in E-Learning

Alyami¹

2020

WJE

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Open educational resourses have become a strategic source of a high degree of importance and this explains the reason for the acceleration of countries to join the use of them, but unfortunately, the results of a survey study conducted in the Kingdom of Saudi Arabia on eight experts in e-learning showed a gap that hinders integration in the use of open educational resources among educational institutions, especially at the general and higher education. Accordingly, the present study aimed to review the most prominent Open Educational Resources (OER) platforms in Saudi Arabia and identify the reality of cooperation and the best means of integration between higher and general education institutions from the perspective of specialists and concerned bodies. It adopted the analytical survey (descriptive) method. It covered a population of specialists and concerned bodies in e-learning from higher and general education institutions. The study applied a questionnaire to a sample of (144) participants from higher education institutions and (327) participants from general education institutions. Finally, it concluded results, made recommendations and suggested further studies.

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“…Assessment is an essential element in a higher education e-learning scenario (Jafar Jalali et al 2018;Daradoumis et al 2013;Lara et al 2014;Bulut 2019). E-learning is a form of distance learning that is completely virtualized through an electronic channel (medium), like the Internet, for example, using learning process support tools (Wong et al 2019;Ng 2016;Barana and Marchisio 2016;Lizcano et al 2019;Aljawarneh 2019;Esposito et al 2018).…”

Section: Introduction To the Domain Of Researchmentioning

confidence: 99%

“…Assessment for e-learning requires effort on the part of the educational community to propose methods, strategies, and procedures in order to achieve effective and efficient processes (Bulut 2019). In particular, there are many open problems in E-learning Assessment related areas such as self-assessment (Wong et al 2019; 1 3 Dabowsa et al 2018;Aljawarneh and Vangipuram 2018;Elberkawi et al 2016;Aljawarneh et al 2016a, c;Radhakrishna et al 2017;Aljawarneh et al 2007), peerassessment (Ng 2016), automated assessment (Barana and Marchisio 2016), among others.…”

Section: Introduction To the Domain Of Researchmentioning

confidence: 99%

Special issue on the current trends in E-learning Assessment

2019

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In this full review paper, the recent emerging trends in E-learning Assessment have been reviewed and explored to address the recent topics and contributions in the era of Distance Education. This includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art, frameworks and techniques research projects in the area of E-learning Assessment, using different approaches such as Blockchain, Gamification, Process Mining, among others. Based on this systematic review, we have put some recommendations and suggestions for researchers, practitioners and scholars to improve their research quality in this area.

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How to facilitate self-regulated learning? A case study on open educational resources

Cited by 25 publications

References 32 publications

Fuzzy Evaluation Model for Enhancing E-Learning Systems

Fuzzy Evaluation Model for Enhancing E-Learning Systems

Integration of Open Educational Resources in Higher and General Education Institutions: from the Perspectives of Specialized and Concerned Bodies in E-Learning

Special issue on the current trends in E-learning Assessment

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