During the Coronavirus disease (COVID-19) pandemic, universities were obligated to transform from traditional classroom teaching environments to virtual ones. This sudden transformation highlighted the issue of low e-learning system usage amongst instructors of humanity faculties in Jordan's public universities. This study empirically investigated the moderating impact of technology anxiety on the relationship between the instructor's self-efficacy and the e-learning system's actual use to contribute to solving the problem. A survey was distributed to 468 instructors to test the theoretical framework, which yielded 285 valid and complete instruments analyzed using Structural Equation Modeling (SEM). Results showed the positive direct effect of self-efficacy on actual use. Furthermore, the level of technology anxiety moderated the relationship. Instructors with low technology anxiety showed a higher level of e-learning system actual usage than those with a high anxiety level. To improve the use of e-learning systems, top management must understand the fundamental role of compulsory training as the Covid-19 pandemic, and the instructor's confidence must be increased by providing training and support.

Academic optimism has an essential role in the adjustment of students in school. This study aimed to examine a model of academic optimism formed from democratic parenting, school climate, internal locus of control, and students’ self-concept. This a cross-sectional non-experimental design research design involved 335 Junior High School students in Kediri. The data collection tool was a scale while the data analysis technique was Structural Equation Modeling (SEM) analysis. The results showed that the theoretical model for developing academic optimism in Junior High School students was in line with the research data and obtained empirical support (X2 = 246.056 < 255.6018; p = 0.110 > 0.05), so this model is feasible and can be used in samples that have been studied. In general, this study adds knowledge about positive psychology studies and supports democratic parenting, school climate, self-concept, and internal locus of control as ultimate factors for creating students’ academic optimism.

The main topic of the presented article is the pedagogical concept of self-reflection of students of Social Education. The authors understand the pedagogical concept as primarily educational determinants that influence and shape students’ self-reflection. To identify this aim, the authors formulate the main research question: How do social education students reflect on themselves as students, and what are the determinants of study self-reflection for social pedagogy students? The authors used the qualitative research strategy, specifically The Grounded Theory, through which sixty self-reflecting essays were analysed. These written self-reflections were further complemented with six in-depth interviews in which we acquired clarifying information on self-reflection and self-assessment of social education students. It was ascertained that students’ self-reflection is shaped through an awareness of internal and external study factors, which subsequently influence the overall concept of their study, motivation to perform, study style, and self-assessment.

Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of effective research methods in the studies. Driven by the Realistic Mathematics Education (RME) theory and empirical evidence on metacognition and modeling competency, this research aimed at exploring the interrelationships between metacognition and mathematical modeling and academic year level as a moderator via the SEM approach. This study involved 538 students as participants. From this sample, 133 students (24.7%) were from the first academic year, 223 (41.4%) were from the second and 182 (33.8%) were from the third. A correlational research design was employed to answer the research question. Cluster random sampling was used to gather the sample. We employed structural equation modeling (SEM) to test the hypothesized moderation employing IBM SPSS Amos version 18. Our findings confirmed the direct correlation between metacognition and mathematical modeling was statistically significant. Academic year level as a partial moderator significantly moderates the interrelationships between the metacognitive strategies and mathematical modeling competency. The effect of metacognition on mathematical modeling competency was more pronounced in the year two group compared to the year one and three groups.

The research delved into the assessment of integrating Learning Management System as an aid in teaching. Data were collected from 26 students at Rizal Technological University-College of Education, Philippines, through pretest-posttest quasi-experimental and normative survey design of research. Data were statistically tested using the frequency, percentage, mean, standard deviation, t-test for dependent and independent samples, and paired t-test. Results of the research indicate that the respondents have optimistic attitudes towards the integration of learning management system in teaching. The respondents performed poorly in the pretest examination but performed very satisfactorily in the posttest examination. Furthermore, the research found out that there is no significant difference between the performances of the experimental group and control group in pretest and posttest, moreover, there is a significant difference between the pretest and posttest scores of the experimental group and the pretest and posttest scores of the control group.

In contemporary school systems, the concept of a teacher is defined as a socially and emotionally intelligent, pedagogically, and psychologically competent school leader. This would mean that not only the teacher's subject knowledge is sufficient, but also good knowledge of general pedagogical-psychological skills, knowledge, and management of the didactic approach, etc. Social and emotional skills/intelligence (SEI) restore the value of teachers as creators of learning and connect education to the larger social world in which SEI plays the most important role. This paper highlights the importance of social and Emotional Intelligence (SEI) in teacher education, examining the current state of research and the most important role of SEI in students' personal, social, and academic achievement, as well as teacher effectiveness and personal growth. By presenting the scientific evidence of SEI in teaching and teacher education, this study assesses the SEI level of student teachers at the University of Primorska, Faculty of Education, Slovenia. SEI is examined, through its main components: Self-awareness, Self-management, Social Awareness and Social Skills. In conclusion, this paper aims to show the need to develop SEI in future teacher education in Slovenia.

Coronavirus disease (COVID-19) preventive measures influenced teachers directly. The sudden shift to new teaching environment emerged unknown challenges influencing teachers’ work differently. As self-efficacy is a key factor of successful teaching, the goal of our study was to examine the relationship among teachers’ efficacy-related experiences, work satisfaction and workload during the pandemic. 769 teachers (55 men and 677 female, 32 undefined) completed the online version of the Norwegian Teacher Self-Efficacy Scale and the Relative Self-Efficacy Scale. Findings indicated significant positive correlation between job satisfaction and self-efficacy as well as job satisfaction and the sense of competency. Kruskal-Wallis Test proved higher level of self-efficacy among teachers with more experience in online teaching in the past. According to SEM analysis, job satisfaction is predicted by efficacy beliefs concerning the sense of competence, motivation, coping and conflict resolution. Our findings indicate that experience in online teaching methods can enhance self-efficacy, which contributes to higher job satisfaction.

This study was conducted to corroborate in understanding the teachers’ beliefs about assessment practices. The prior studies related to teachers’ assessment beliefs in mathematics have been done to assess teachers’ beliefs in the general context of mathematics teaching. This study developed an instrument to assess teachers’ assessment beliefs of mathematical thinking. The research aimed to develop and validate a scale of assessment beliefs of mathematical thinking by using the confirmatory factor analysis. The first draft of the scale contained 25 items. The sample of the study consisted of 537 mathematics teachers from public schools in Oman. The instrument was a questionnaire with a 5-point Likert scale. The scale was validated by asking a number of experts in mathematics educational measurement and evaluation. Exploratory and confirmatory factor analysis was applied to test the model of assessment beliefs of mathematical thinking scale using AMOS 25.0. All constructs had acceptable reliability. The model had a good model fit for the assessment beliefs of mathematical thinking scale which obtainable from the fit indices tests. The findings revealed that all fit criteria indices were realized. The results also showed acceptable validity and construct reliability for the scale.

Online learning during the Coronavirus disease (COVID-19) pandemic has awakened and affirmed the necessity of learning based on digital technology. The article was aimed to analyze the effectiveness of online learning at bachelor’s, master’s, and doctoral degrees of Islamic Religious Education as a reference to develop a learning pattern post-COVID-19 pandemic. The research employed a mixed-method design with a concurrent triangulation model. The samples were taken using stratified random and purposive sampling. Meanwhile, the data were collected through questionnaires, in-depth interviews, and forum group discussion. A descriptive analysis and one-way analysis of variance were used to analyze the quantitative data, while interpretative descriptive for the qualitative data. The research showed that online learning during the COVID-19 pandemic at the bachelor’s, master’s, and doctoral degrees of Islamic Religious Education have been effective. In detail, online learning at the doctoral degree was the most effective among all. On the other hand, face-to-face learning is still necessary. Therefore, the learning pattern developed post-COVID-19 pandemic combines face-to-face and online learning (hybrid learning). The formulation is adjusted to the characteristics, educational purpose and orientation, level of ability, readiness, and learning autonomy of the students at each educational level.

Traditionally secondary studies on achievement on Programme for International Students Assessment (PISA) tests point to the significant impact of socioeconomic status and cultural backgrounds of families as well as the role of parental involvement, which in some cases has had a negative impact on achievement. For this article, a model of structural regression was tested, with structural modelling software. This model included the following factors: domestic and educational assets, parental support for students, parents’ perceptions about science, and science competencies among 214 high performing Mexican students on PISA tests in 2015. This resulted in a structural regression model with a goodness of fit, where science competencies were a positive significant variable, impacted by domestic and educational assets and parental involvement. An additional restricted model with four variables manifested as mediators, revealed that science competencies were predicted positively and significantly by domestic and educational assets, and by the manifest parental emotional support variable. Variables related to ownership of educational and cultural assets and resources, as well as parental support, particularly emotional parental support, have positive and significant impact on science competencies.

Student dropout, defined as the temporary or definitive suspension of the exercise of the right to education, is attributable to multiple variables classified into individual, academic, institutional, and socioeconomic determinants which may be exacerbated in the context of the Coronavirus disease (COVID-19) pandemic. Consequently, this work aims to synthesize, from the available evidence, the behaviour and influence of the explanatory variables of school dropout in infant school, primary school and, high school in Colombia for the period 2014-2019 compared to the period 2020-2021 under the COVID-19 pandemic conditions. The research methodology consisted of a systematic review of 125 indexed articles for 2014-2019 and 32 reports related to dropout in Colombian Basic education for the 2020-2021 period. The systematic review of the 157 articles revealed that dropout was studied and explained in both time periods, mainly from the academic determinant whose most cited explanatory variables were: ‘teachers’, ‘curriculum’ and ‘methodologies used’. Moreover, it could be perceived that in the period 2014-2019, the socioeconomic variable was the second dropout determinant, considering ‘family income” as the most important indicator, while in 2020-2021 the “infrastructure” and the ‘political environment’ remained as the most dominant. Lastly, in 2020-2021, the variable ‘teachers’ was highly cited showing that their practice made students maintain their interest despite the physical distance.

This study is an endeavour to explicate the dissonance of the linguistic quality outcome of study abroad (SA) experiences by exploring the second language (L2) motivation of six academic sojourners in Manchester. A person-in-context approach revealed that developing intimate relationships with ‘native-speakers’, providing L2-mediated interaction opportunities with international students, and social approval were key determinants of the extent to which SA students were invested in social practices. Such social engagements were found to stem from second language motivation that is part of identity construction process. In addition, the thematic analysis of the narrative inquiries suggests that the global status of the English language defies the traditional conceptualisations of L2 motivation as most participants’ motivations were formed despite their negative or neutral attitudes towards the English community. The findings also endorse the role of the other as a robust motivational source by which learners can replenish their motivation stream, leading to social identity investment to construct their ideological selves. The paper concludes with a recommendation to re-interpret the conceptualisation of the Ideal L2 Self system because ‘native-speakers’ are rarely the closest parallels to L2 learners, and it should incorporate explicit intrinsic orientations. Furthermore, language institutions in SA contexts should direct their focus on establishing conversation clubs and hosting social events for SA students to provide a safe space for their identities to be developed, enacted and reconstructed.

The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.

This study aimed to explore the perceived factors that influenced the success and challenges experienced when taking licensure examination among Bachelor of Science in Criminology graduates of a state university in the Philippines who failed in the Criminologist Licensure Examinations (CLE). Descriptive-correlational research design was utilized to analyze quantitative data, and Colaizzi’s descriptive phenomenology was used for the thematic analysis of qualitative data. The quantitative findings revealed that home and family factor has a high influence on the success in CLE, while student factor, school factor, review center factor, and personal factor have average influence. Further, ten clusters of themes emerged as factors that influence the success in CLE. Among them were interest and focus on the program, and availability of qualified and dedicated faculty. Among the themes that emerged as challenges were lack of preparedness for the exam because of one’s work, and personal and social pressures. There is a significant difference on the respondents’ perception towards the factors that influence the success in CLE when they are grouped according to sex. Regarding the challenges associated with preparing for and taking the CLE, a significant difference is only observed when respondents are grouped according to their civil status. Generally, married respondents have higher weighted means than the single ones. This implies that the identified challenges affected married respondents more than the single ones. These results can be used to make policies and initiate programs that would enhance graduates’ success in the exam by providing appropriate interventions and early remediations.

The following article is a qualitative study that analyses the perception of parents and high school students regarding teaching in times of Coronavirus disease COVID-19, with the idea of recognizing the facilitators and barriers for the teaching-learning process in the pandemic. The above, in the understanding that due to the sudden appearance of SARS-CoV-2, educational systems around the world had to adapt to virtual teaching, as a result of the confinement to which the population has been subjected during the year 2020 and a good part of the year 2021. The research is based on the interpretative-comprehensive paradigm, with a qualitative methodology, which considered the realization of four focus groups with students and four focus groups with secondary school parents, from two public high schools located in the province of Talca, Maule region, Chile. The findings of the study are related to the adverse effects of the pandemic on student learning, as a result of connectivity difficulties, and the emotional impact on the quality of life of young people and their families. On the other hand, learning at home is related to limited pedagogical strategies and evaluative aspects that do not allow verifying the real learning of the students.

Students drop out of schools for many reasons, and it has negative effects on the individual and society. This paper reports a study using data published in 2015 from the Educational Longitudinal Study conducted by the National Center for Education Statistics to analyze the influence of parental involvement on low-achieving U.S. students’ graduation rates from high school. Findings indicate that both students and parents share the same perspective on the need for parental involvement in their academic progress. For low-achieving high school students, parental involvement in academic work is a positive factor influencing students’ graduation from high school.

This research aims to determine the relationship between school principals' cultural intelligence level and teachers' job satisfaction and intention to leave. The relational survey model was used in this study. The data of the research were collected from 800 teachers working in public middle schools in the central districts of Mersin Province in the 2020-2021 academic year. The data were collected through Personal Information Form, Cultural Intelligence Scale, Job Satisfaction Scale, and Intention to Leave Scale. The data were analyzed through correlation analysis, Structural Equation Modeling and Sobel Test. According to the results of the research, a strong, positive and significant relationship was found between the cultural intelligence level of school principals and the job satisfaction of teachers. A strong, negative, and significant relationship was determined between the cultural intelligence level of school principals and teachers' intention to leave. A strong, negative, and significant relationship was determined between teachers' job satisfaction and their intention to leave. It was found that the cultural intelligence level of school principals negatively predicted teachers' intention to leave. It was also determined that cultural intelligence levels of school principals negatively predicted teachers' intention to leave through job satisfaction, and teachers’ job satisfaction was a partial mediator of the relationship between the cultural intelligence levels of school principals and teachers' intention to leave. It was suggested that candidates with high cultural intelligence levels should be given priority in the appointment process of school principals.

This study aims at identifying the level of psychological and professional stress in light of the Coronavirus disease (COVID-19) pandemic. It adopted descriptive and analytical methodologies. Two scales were prepared: one scale for psychological and professional stress and the other for coping with psychological and professional pressures. The study sample consisted of 608 female teachers at public schools in Al-Kharj province, Kingdom of Saudi Arabia (KSA). The results show a moderate level of psychological and professional stresses. The findings show statistically significant differences in teaching experience variable. The differences were in favour of female teachers with experience of less than 5 years. However, no statistically significant differences were found on the variable of academic qualification. It was found that female teachers had followed strategies to cope with psychological and professional stresses including resorting to faith, connecting with other teachers and students, planning different strategies, seeking help from others and managing time. The study recommends arranging training courses for female teachers to develop remote teaching skills and using various technologies and applications in this field particularly during the ongoing COVID-19 pandemic.

In Austria, segregated German language support classes (GLSC) were introduced in the school year 2018/19 to intensively support students who had previously little or no contact with German, the official language of instruction. These classes have been widely criticised; however, a formal evaluation of their effects has yet to be published. In absence of this evaluation, this article describes the language support model as it currently exists in Austria and reviews existing evidence about its efficacy. The literature review synthesises findings from educational research undertaken in other contexts that offer insight into features of ‘good practice’ in language support models. The article then explores the extent to which GLSC comply with these features. As such, this review allows insights into ways of ensuring students’ language and socio-emotional development – all central aspects of academic success – in language support models. It therefore allows research-informed understanding of the effects of the newly implemented model of German support classes in Austria and makes recommendations for further development.

This research aimed to develop a historical thinking assessment for students' skills in analyzing the causality of historical events. The development process of Gall and colleagues and Rasch analysis models were used to develop an assessment instrument consisting of two processes, including the analysis of the framework of cause and consequence, the validity, reliability, and difficultness test. This research involved 150 senior high school students, with data collected using the validation sheet, tests, and scoring rubric. The results were in the form of an essay test consisting of six indicators of analyzing cause and consequence. The instruments were valid, reliable, and suitable for assessing students’ skills in analyzing the causality of historical events. The developed instruments were paired with a historical thinking skills assessment to improve the accuracy of the information about students' level of historical thinking skills in the learning history.