This study aims at investigating the perceptions of the faculty members of the University of Jordan towards the use of The Massive Open Online Courses (MOOCs) in the educational process and their suggestions to improve them, the study followed the descriptive / analytical approach. The sample consisted of (115) teachers from the faculty members of the University of Jordan, who were chosen intentionally during the second semester 2018/2017. A key tool was developed that was validated and consisted of (70 items). The results showed that the use of MOOCs courses was moderate and positively affect the support of the educational process. The results showed that there were no statistically significant differences attributed to the teaching experience, gender and academic rank variables. While the results showed that there are statistically significant differences to the degree of the use of the faculty members of the University of Jordan MOOCs courses in the educational process according to the collage variable. Results related to the second area of proposals for improving the use of MOOCs courses were also high. In the light of the results of the study, the researcher recommended, based on the answers of faculty members, the need to reconsider the importance of using electronic MOOCs courses in the educational process, And spreading a culture of awareness of the importance of using electronic environments in the educational process, to provide tangible financial and technical support for the production and design of MOOCs courses in cooperation with faculty members and the use of experts.

E-learning has become a viable mean to both Massive Open Online Courses (MOOCs), and Small Private Open Courses (SPOCs). Research has shown that the quality and effectiveness of these types of courses depend largely on the contextual factors that may impact the design and development of online courses. This study highlights a design framework for a SPOC offered at Sultan Qaboos University. It employs a design-based research methodology, which is a systematic research approach aimed to improve instructional practices through iterative analysis, design, development, and implementation to produce contextually-sensitive design principles. The sample of this study consists of a diverse group of subjects including instructional designers, subject-matter experts, as well as students. The findings illustrate the importance of contextual logistics that need to be considered in the design and development of SPOCs. The findings also highlight the importance of the DBR as a suitable research methodology for similar developmental studies.

The objectives of this research were to: 1) Study the suitability of the indicators to be included in the model, 2) Test the consistency of the model developed from the theories and research studies’ empirical data, 3) Evaluate reliability value of the main components, the sub-components and other related indicators. The population used in the research were the teachers in the schools under the local administrative organization of Thailand. The multistage random sampling was used for the selection of 660 samples from a total population of 30,359 teachers across the country. The following results were observed: 1) All of the 52 indicators used in the research were appropriate according to the specified criteria, 2) The theoretical model was found to have been consistent with the empirical data. All of the statistical figures including; Relative Chi-Square, Root Mean Square Error of Approximation, Goodness-of-Fit Index, Adjusted Goodness-of-Fit Index, Comparative Fit Index, and Normed Fit Index: NFI, were found to have met with the specified criteria in both the first and the second confirmation factor analyzes, and 3) The primary element’s factor loading was between 0.73 to 1.48, which is higher than the criteria of 0.70, the sub-element’s factor loading was between 0.67 to 1.72 and the indicators weight was between 0.68 to 1.37, which is higher than the criteria of 0.30. These results indicate that the theoretical model developed in this research can be effectively used with construct validity for the development of the targeted samples in a research study.

The influence of COVID-19 has caused a sudden change in learning patterns. Therefore, this research studied the learning achievement modified by online learning patterns affected by COVID-19 at Rajabhat Maha Sarakham University. This research has three objectives. The first objective is to study the cluster of learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. The second objective is to develop a predictive model using machine learning and data mining technique for clustering learning outcomes affected by COVID-19. The third objective is to evaluate the predictive model for clustering learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. Data collection comprised 139 students from two courses selected by purposive sampling from the Faculty of Information Technology at the Rajabhat Maha Sarakham University during the academic year 2020-2021. Research tools include student educational information, machine learning model development, and data mining-based model performance testing. The research findings revealed the strengths of using educational data mining techniques for developing student relationships, which can effectively manage quality teaching and learning in online patterns. The model developed in the research has a high level of accuracy. Accordingly, the application of machine learning technology obviously supports and promotes learner quality development.