An Efficient Data Mining Technique for Assessing Satisfaction Level With Online Learning for Higher Education Students During the COVID-19

Abdelkader, Hanan E.; Gad, Ahmed G.; Abohany, Amr A.; Sorour, Shaymaa E.

doi:10.1109/access.2022.3143035

Cited by 42 publications

(32 citation statements)

References 89 publications

(74 reference statements)

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“…This finding demonstrates that online learning environments are a viable alternative to traditional classrooms. Nonetheless, this study offers significant insights into the design and implementation of successful online learning environments including several satisfaction criteria, such as instructor support, student autonomy, student participation, and communication (Abdelkader et al, 2022;Zamakhsari & Ridzuan, 2015). More theories are applicable in such a research field, for instance, the technology acceptance model (TAM).…”

Section: Recommendations For Researchersmentioning

confidence: 99%

“…Several factors determine the effectiveness of online learning, programs, and classes, for instance, student satisfaction, student autonomy, and students' academic achievements (Abdelkader et al, 2022). Nevertheless, designing and executing effective online environments is a complicated process involving many satisfaction factors, including teacher support, student autonomy, student collaboration, and communication (Zamakhsari & Ridzuan, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, designing and executing effective online environments is a complicated process involving many satisfaction factors, including teacher support, student autonomy, student collaboration, and communication (Zamakhsari & Ridzuan, 2015). Previous research has found a consistent link between student satisfaction and communication in online learning environments (Abdelkader et al, 2022;Zamakhsari & Ridzuan, 2015). Students' most popular online learning activities involve online group discussions, searching, quizzes, and online tests.…”

Section: Introductionmentioning

confidence: 99%

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Study from Home! The Antecedents and Consequences of Collaborative Learning on Malaysian University Students

Abuhassna

Busalim

Yahaya³

et al. 2023

JITE:Research

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Aim/Purpose: Drawing on transactional distance theory (TDT) and collaborative learning, this research proposes a research model to examine the role of collaborative learning during the COVID-19 pandemic. It investigates the potential antecedents that influence students’ academic achievements, autonomy, and satisfaction with online learning platforms. Background: The coronavirus (COVID-19) epidemic devastating the world has shaken the global educational system; such a transformation compelled all educational institutes to utilize online learning platforms. Malaysian higher educational institutions were greatly concerned by this disease and faced considerable transformations that affected higher education learners. Additionally, the campus closure and movement regulations impacted traditional education. Thus, the Malaysian Government ordered students at higher education institutions to return to their hometowns and continue their studies through online learning. Therefore, online learning was the most reasonable alternative to resume the learning process. Furthermore, in the educational world, collaborative learning is pivotal to forming students’ interpersonal skills. Collaborative learning practice is working in pairs or small groups to attain the learning objectives collaboratively. Collaborative learning refers to the process of acquiring knowledge in a collaborative setting as opposed to alone. Since the instructor and students are in separate locations, it is challenging for the teacher to facilitate collaborative learning. Methodology: This study utilized a quantitative method; purposive sampling was implemented, and the data were collected from 260 university students, both undergraduate and postgraduate, as long as they were affected by the COVID-19 pandemic in Malaysia. The questionnaire for this research was designed to fit the research hypothesis. The items of the questionnaire have been adapted to certify the content’s validity. The collected data were analyzed using Smart PLS software, which has been utilized as an essential data analysis tool. Contribution: This research contributes to: (1) a better understanding of the importance of communication and connection among students-students and teachers in online learning environments, as the results suggest that the more communication between students, teachers, and the environment itself, the greater the academic achievements, learners’ autonomy, and satisfaction; and (2) the role of both collaborative learning and TDT on learners’ academic achievements, autonomy, and satisfaction. Findings: This study advances by incorporating TDT and collaborative learning theories. This research model illustrates six main factors in online learning platforms that enhance students’ academic achievements, autonomy, and satisfaction through collaborative learning. The results showed a strong association between TDT and collaborative learning regarding the online learning platforms’ utilization for improving academic achievements, learners’ autonomy, and satisfaction. Recommendations for Practitioners: This model provided exceptional support to students during this sudden switch to online alternatives and helped them cope with the considerable challenges they faced under the current circumstances. Moreover, this model provides a guideline for higher education teachers and administrators for coping with online learning platforms. Recommendation for Researchers: Drawing on the association between TDT and collaborative learning regarding the utilization of online learning platforms for improving academic achievements, learners’ autonomy, and learner satisfaction, the research result presents a road map for researchers in the field of online learning. Accordingly, researchers are encouraged to utilize these theories, as they can lead to improvements among online learners in higher education institutions. Impact on Society: This preliminary model, which was developed throughout this research, will be a great support to both researchers and instructors to be able to utilize and elaborate in accordance with the role of online platforms on students’ satisfaction, autonomy, and academic achievements. It is critical for higher education administrators to pay more attention to the nature of communication between students and student instructors, which has been shown to have a positive influence on their academic achievements, to implement online learning. Moreover, instructors and course developers must be trained and skilled to achieve online learning platform goals. Future Research: Future research could include more information about blended learning environments and their relationship to the technology acceptance model as an online learning model. Researchers may extend the model used in this study.

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Section: Recommendations For Researchersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study from Home! The Antecedents and Consequences of Collaborative Learning on Malaysian University Students

Abuhassna

Busalim

Yahaya³

et al. 2023

JITE:Research

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“…And one of the biggest limitations is data samples. Abdelkader et al [9] indicated the best approach as well as the ideal dimensionality of the feature subset. The current study's findings clearly corroborate the well-known link between a small number of characteristics and higher predictive accuracy.…”

Section: Literature Reviewmentioning

confidence: 99%

Satisfaction prediction of online education in COVID-19 situation using data mining techniques: Bangladesh perspective

Poushy

Bhuiyan²,

Parvin³

et al. 2022

IJECE

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<span>This research focuses on the education-based online learning platform. Due to the <a name="_Hlk109304176"></a>coronavirus disease (COVID-19) epidemic, online education is gaining global popularity. It has shown how successful it is in investigating the quality of online education at the COVID-19 pandemic situation by 799 students from different academic institutions, schools, colleges, and universities. A Google web form has been utilized as the data gathering mechanism for this survey. This paper perused the prediction of online education through data mining and machine learning approaches in an online program. The data was collected through online questionnaires. To predict online education's satisfaction rate, four different types of classifiers are used e.g., logistic regression classifiers, k-nearest neighbors, support vector machine, naive Bayes classifiers. The key purpose of this research is to find out an answer to a question which is, "are the student's satisfied with starting the new online teaching system, or will it be an ambivalent effect for students in the future?".</span>

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“…Therefore, no matter how many years have passed or how many changes are made in the education mode, education and cultural inheritance remains to be the essence and treasure of the Chinese nation. As long as we observe carefully, we will find that the traditional culture is affecting every aspect of our life, especially the Guangfu culture to Cantonese (Tegen et al, 2021 ; Abdelkader et al, 2022 ). These traditional cultures are actually the sources of our cultural identity.…”

Section: Introductionmentioning

confidence: 99%

A Research on Online Education Behavior and Strategy in University

Deng

2022

Front. Psychol.

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After the reform and opening up in China, through a series of rapid developments in world, online education has grown both socially and economically. This area has become representative of the fast-growing economy. However, Guangfu culture as a crucial component of Cantonese traditional culture is gradually becoming less influential today. It is the college's responsibility and duty to protect, carry forward, and inherit this traditional culture. Especially during this cyber era, where networks have become a powerful source for communication and study, there are diversified methods of adaptive learning and various learning behaviors. This article aims to analyze the plausibility of adapting an online platform into the teaching arena and the needs of students under this teaching mode. A simulation of applying advanced technology and artificial intelligence into Guangfu culture innovation was also conducted. The contribution shows the users in this platform have a longer study time, compared with non-platform users, and are more interested in traditional culture knowledge than non-users; 21.5% higher in the performance's test.

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An Efficient Data Mining Technique for Assessing Satisfaction Level With Online Learning for Higher Education Students During the COVID-19

Cited by 42 publications

References 89 publications

Study from Home! The Antecedents and Consequences of Collaborative Learning on Malaysian University Students

Study from Home! The Antecedents and Consequences of Collaborative Learning on Malaysian University Students

Satisfaction prediction of online education in COVID-19 situation using data mining techniques: Bangladesh perspective

A Research on Online Education Behavior and Strategy in University

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