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.

Pearson product–moment correlation coefficient between item g and test score X, known as item–test or item–total correlation (Rit), and item–rest correlation (Rir) are two of the most used classical estimators for item discrimination power (IDP). Both Rit and Rir underestimate IDP caused by the mismatch of the scales of the item and the score. Underestimation of IDP may be drastic when the difficulty level of the item is extreme. Based on a simulation, in a binary dataset, a good alternative for Rit and Rir could be the Somers’ D: it reaches the ultimate values +1 and –1, it underestimates IDP remarkably less than Rit and Rir, and, being a robust statistic, it is more stable against the changes in the data structure. Somers’ D has, however, one major disadvantage in a polytomous case: it tends to underestimate the magnitude of the association of item and score more than Rit does when the item scale has four categories or more.

A new index of item discrimination power (IDP), dimension-corrected Somers’ D (D2) is proposed. Somers’ D is one of the superior alternatives for item–total- (Rit) and item–rest correlation (Rir) in reflecting the real IDP with items with scales 0/1 and 0/1/2, that is, up to three categories. D also reaches the extreme value +1 and ‒1 correctly while Rit and Rir cannot reach the ultimate values in the real-life testing settings. However, when the item has four categories or more, Somers’ D underestimates IDP more than Pearson correlation. A simple correction to Somers’ D in the polytomous case seems to lead to be effective in item analysis settings.  In the simulation with real-life items, D2 showed very few cases of obvious underestimation and practically no cases of obvious overestimation. With certain restrictions discussed in the article, D2 seems to be a good alternative for these classic estimators not only with dichotomous items but also with the polytomous ones. In general, the magnitudes of the estimates by D2 are higher than those by Rit, Rir, and polychoric correlation and they seem to be close of those of bi- and polyserial correlation coefficients without out-of-range values.

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.

Although Goodman–Kruskal gamma (G) is used relatively rarely it has promising potential as a coefficient of association in educational settings.  Characteristics of G are studied in three sub-studies related to educational measurement settings. G appears to be unexpectedly appealing as an estimator of association between an item and a score because it strictly indicates the probability to get a correct answer in the test item given the score, and it accurately produces perfect latent association irrespective of distributions, degrees of freedom, number of tied pairs and tied values in the variables, or the difficulty levels in the items. However, it underestimates the association in an obvious manner when the number of categories in the item is more than four. Towards this, a dimension-corrected G (G2) is proposed and its characteristics are studied. Both G and G2 appear to be promising alternatives in measurement modelling settings, G with binary items and G2 with binary, polytomous and mixed datasets.

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 Coronavirus disease (COVID-19) pandemic has increased anxiety and stress among teacher education managers and has given rise to the question of whether they have the competencies to execute their operational responsibilities productively. The theories of resilience and transformational leadership underpin this study in which teacher education managers’ resilience and their responsiveness to the well-being of staff executing their operational practices in an open distance e-learning context were explored. A qualitative approach was adopted and virtual video conferencing interviews with teacher education managers were used to explore how they mitigated their strategic and operational roles and their managerial functions to ensure the well-being and organisational performance of staff working from home. Results revealed the experiences of distance managers to have been positive in that they implemented organisational strategies to mitigate the challenges faced to ensure wellness and performance among staff working from a distance. Further research applying a mixed-method design should be undertaken to determine how resilient managers and staff working from home are. That may yield different results.

Open educational resources (OER) are an innovation coined to bridge the educational divide by providing free quality learning resources. Consequently, this study explored the perception of the Namibian open and distance learning institutions' perception of the use of OER as a pedagogical approach. The study focused on faculty members from the three public ODL institutions in Namibia. Integrated theories with a qualitative case study and interpretivist paradigm underpin this study. Qualitative methodologies were used to collect and analyse data. This study showed an inconsistency between the faculty members' perceptions and OER use within the ODL institutions in Namibia. Although the faculty members displayed positive attitudes towards the use of OER, very little has been achieved in the use of OER within the institutions for the benefit of the Namibian ODL students. The study identified various challenges that impede OER adoption at the institutional level. Recommendations were formulated to address the identified challenges.

This study aims to develop a schoolpreneur model appropriate for Malaysia's secondary school environment. The current study surveyed students participating in the Program Tunas Commerce (PROTUNe) and the Young Entrepreneurs Association (PUM) in the states of Perak, Selangor, and Negeri Sembilan to accomplish these purposes. A survey-based technique was used to collect data, and 400 students participated. With a cross-sectional research design, this research uses a quantitative research methodology. This research employed exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) for statistical analysis. The study's findings show that six highlighted factors can be incorporated to develop a schoolpreneur model. These factors all significantly affect the schoolpreneur model. A significant correlation of the schoolpreneur model of more than 60% indicates the significance of talent skills, mentors, incubators, individual personality, role models, and family background in the development of the schoolpreneur model. As a result, secondary schools can conduct entrepreneurial activities better due to the development of the schoolpreneur model.

This research aims to prove the influence of teacher efficacy on learning quality with quantitative meta-analysis. The eligibility criteria in this study include: (a) The publication can be searched in Google Scholar, ERIC, DOAJ, Research Gate, and or ScienceDirect; (b) The publication is indexed in Scopus, WoS, SINTA (a portal indexing journal managed by the Ministry of Education and Culture of the Republic of Indonesia, equivalent to DOAJ and Index Copernicus), DOAJ, Index Copernicus, and at least they must be indexed in Google Scholar; (c) The topic of the studies must be relevant; (d) The studies must be carried out in the 2014-2023 year range; (e) The publication must have a value of (r), (t) or (F); (f) The studies have a magnitude of N ≥ 20. This study used the JASP application for data analysis. The results showed that: (a) the 40 studies analyzed were heterogeneous and normally distributed; (b) the influence of teacher efficacy on education quality is classified as strong (p < 0.05; rRE = 0.800); (c) publication bias was not detected. This study concluded that there is a strong influence of teacher efficacy on education quality.