Learning Through Massive Open Online Courses Platforms Based on Fuzzy Analytic Hierarchy Process

AFA, Yassine; Battou, Amal; Baz, Omar

doi:10.4018/ijseus.2019070101

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Several scholars have utilized MCDM to examine the E-Learning system. For instance, FAHP was applied in a study [22] to propose a framework for learning with the help of Massive Open Online Courses (MOOC). This framework can help in increasing the effectiveness of teaching.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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Learning using the Internet or training through E-Learning is growing rapidly and is increasingly favored over the traditional methods of learning and teaching. This radical shift is directly linked to the revolution in digital computer technology. The revolution propelled by innovation in computer technology has widened the scope of E-Learning and teaching, whereby the process of exchanging information has been made simple, transparent, and effective. The E-Learning system depends on different success factors from diverse points of view such as system, support from the institution, instructor, and student. Thus, the effect of critical success factors (CSFs) on the E-Learning system must be critically analyzed to make it more effective and successful. This current paper employed the analytic hierarchy process (AHP) with group decision-making (GDM) and Fuzzy AHP (FAHP) to study the diversified factors from different dimensions of the web-based E-Learning system. The present paper quantified the CSFs along with its dimensions. Five different dimensions and 25 factors associated with the web-based E-Learning system were revealed through the literature review and were analyzed further. Furthermore, the influence of each factor was derived successfully. Knowing the impact of each E-Learning factor will help stakeholders to construct education policies, manage the E-Learning system, perform asset management, and keep pace with global changes in knowledge acquisition and management.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

et al. 2020

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“…In the study has been showed that the content management and development is the most important criteria. In [35], the author applied FAHP in increasing the effectiveness of teaching to massive open online courses (MOOCS) and to determine the most widespread MOOCS. In [36], the author explores in detail the necessary requirements for the successful execution of distance education in industrial engineering using FAHP and SWARA.…”

Section: Introductionmentioning

confidence: 99%

Ranking the Most Important Attributes of using Google Classroom in online teaching for Albanian Universities: A Fuzzy AHP Method with Triangular Fuzzy Numbers and Trapezoidal Fuzzy Numbers

Qendraj¹,

Xhafaj²,

Xhafaj³

et al. 2021

Adv. sci. technol. eng. syst. j.

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This paper has conducted the study of the impact and effectiveness of Google Classroom in online teaching and learning. Based on the unified theory of acceptance and use of technology (UTAUT2), the first aim was to rank the 8 constructs namely: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, Behavioral Intention, and the last Use Behavior. Each of the constructs have their respective questions due to the questionnaire formed from the UTAUT2 theory. To evaluate the use of Google Classroom, have been analyzed the feedbacks from every participant based on a 5-likert scale output. Secondly, was completed the rank of the questions based on the most preferred 5-likert scale options. The method proposed for the purposes of this study were fuzzy AHP with triangular fuzzy numbers (TFN) and trapezoidal fuzzy numbers (TpFN). The results suggested that the most preferred construct by fuzzy with TFN numbers was the Behavioral Intention while the least preferred was the Effort Expectancy, whereas for fuzzy TpFN the most preferred construct was the Social Influence and the least preferred was the Effort Expectancy. Based on the questionnaire, the rank resulted to be the same with both methods for the most preferred question and the least important one, that were respectively from Use Behavior construct, and from Performance Expectancy construct, while the ranked questions of other constructs differed slightly with both methods. These results showed that both methods produced the same rank for the 5likert scale options, where "Agree" option was the more important from the 5-likert scale options and "Strongly disagree" option was less important. From these findings was concluded that these changes in ranking were due to the different defuzzification methods that were used for both types of fuzzy numbers.

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Summary of the Intelligent Social Management Function of Ideological from the Perspective of Information Theory with MOOC Platforms

Wei-min

2020

2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)

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Learning Through Massive Open Online Courses Platforms Based on Fuzzy Analytic Hierarchy Process

Cited by 4 publications

References 9 publications

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

Ranking the Most Important Attributes of using Google Classroom in online teaching for Albanian Universities: A Fuzzy AHP Method with Triangular Fuzzy Numbers and Trapezoidal Fuzzy Numbers

Summary of the Intelligent Social Management Function of Ideological from the Perspective of Information Theory with MOOC Platforms

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