The main aim of the present study is to investigate the emotional intelligence of faculty members based on their career stage and gender. In the study, a mixed method was employed to determine the emotional intelligence of faculty members and to reach generalizable findings. The convenience sampling method was used in the quantitative study, while the quota sampling method was used in the qualitative section. The quantitative section sample included faculty members in various stages in their careers. In the qualitative dimension, the sample included faculty members who participated in the quantitative application. The quantitative study findings demonstrated that there were significant differences between the emotional intelligence competencies of female and male faculty members in the workplace based on the empathy and self-awareness dimensions. The qualitative study findings revealed that there were differences between the emotional intelligence dimensions, especially based on the career stage and gender. Recommendations are presented based on the study findings.

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.

Students are aware of the use of technology in the learning process, and they are generally referred to as digital natives. However, there are challenges associated with the availability of internet access as a learning process to both university students and teachers inside and outside the classroom. One of such challenges is students’ ability to access unrelated activities which is known as cyberslacking. In the education sector, this process refers to the use of technology for unrelated academic activities. Studies associated with this activity are significantly conducted in western countries, but it is still limited to the Indonesia education environment. Therefore, this research aims to investigate the cyberslacking behavior of students in Indonesia and its relationship to their academic performances. It also determines the relationship between media multi-tasking efficacy and self-regulated learning. The results showed that there is a significant influence between media multi-tasking efficacy and self-regulated learning with cyberslacking. Furthermore, there is a negative influence between cyberslacking and the academic performance of students in Indonesia. This research adds references to studies on cyberslacking in the scope of education and provides input for universities to develop the management of information and communication technology used in the learning process.

The purpose of doctoral education is not only to produce a thesis but also to develop graduates who are highly competent in research, publications and the norms and values of being a researcher. Only a handful of studies have examined early-career academics’ perceptions of doing research at the doctoral level. This exploratory qualitative study sought to fill the gap and contribute to understanding of factors contributing to early career academics’ research capability development. Semi-structured interviews were used to explore in-depth the issues concerning research, publication, supervision, and networking among early career academics. The data were collected from 19 early-career academics in the first year of their career, who are attached with different universities and in different disciplines in Malaysia. The findings from the thematic analysis identified that supervision, individual’s participation in scholarly research activities, and institutional formal learning supported the development of the participants’ research capabilities. Although the PhD programme lay emphasis on independent learning, it should be seen as a process that occurs in phases; hence, the research courses offered and support from the supervisor are important to assist the transition to becoming an independent scholar. Based on the findings of the study, it is recommended that universities be more sensitive to the demands and expectations of academic career so that the PhD programmes offered do not merely focus on research but also develop the skills required of future academics at university.

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.

The formed primary level and dynamic and sustainable development of technological competence provides quality management of teaching activities, increases the efficiency of the educational process, accelerates the achievement of pedagogical goals. Delphi expert assessment technique is increasingly used in the paradigm of pedagogy. Due to the set of advantages and objectivity of assessments, it has become the dominant method of this study. The objective of the study is to determine the current level of manifestation of technological competencies, as well as generalized prospects for development and improvement of the identified level within the selected group of freelance teachers using the technology of independent expert assessments –the Delphi method. In general, the following methods were used in the current study: methods of data collection and coordination, anonymous brainstorming, Delphi expert assessment technique, statistical and mathematical processing of results through Delphi formulas, comparative method, generalisations. The diversified approach to the interpretation of the technological competence of faculty members allowed determining: a) the level of faculty members’ knowledge of modern educational technologies at 89.1%; b) activity-practical aspect of training at 83.0%; c) dissonance between the theoretical and empirical level of teacher training and the algorithm for fulfilling the potential in practice at 21.5%; d) mastery of individual creative technologies for the organisation of an effective educational process at 55.9%; e) forecasted development of technological competencies of faculty members in the 5-year perspective under the condition of application of special control and skill trainings at 50.7%. Conclusion of the study is that according to the arithmetic mean of experts’ assessments of differentiated levels of technological competence, the overall level was 75.1%. The average result of the initial student survey on the estimating of the teachers’ technological competence was 69.7%. The difference of 5.4% between the data allows stating that both methods were relevant in this particular case.

The response of most universities to the Coronavirus disease (COVID-19) pandemic was Online Distance Teaching (ODT), which was a new experience for many educators and students. The aim of the study was to investigate the response of university teachers to ODT. A questionnaire was sent to all university teachers (N = 914). We received 290 usable responses. To create a Continuance Intention Model of Forced Online Distance Teaching (CIMoFODT), Confirmatory Factorial Analysis (CFA) and Structural Equation Modelling (SEM) were used in addition to descriptive and inferential statistics. The main findings were as follows: (i) during the closure, use of the videoconferencing system MS Teams was the only item that increased significantly, owing to mandatory use; (ii) the increase in the use of other applications (e.g., Moodle, email) was minimal; (iii) after the reopening of the university, email, Moodle, and supplementary online materials will be used for ODT; MS Teams will be used for small group teaching and individual consultations; (iv) CIMoFODT can be applied to explain the intention to continue ODT. The main conclusion is that teachers will return to traditional teaching when classrooms reopen.

The current study explored the potential effect of using the flipped class strategy in developing grammatical concepts among fifth-grade primary school students in Irbid, Jordan during the academic year 2019/2020. The study followed the quasi-experimental design, which was applied to a sample of 52 female students, who were divided into a control and an experimental group. The control was taught traditionally and the experimental group was taught grammar through using a flipped classroom strategy respectively. The study developed a list of suitable grammatical concepts for the study sample and a test to measure the Arabic grammatical concepts: declension, case marking, case ending, representation in a sentence, and extraction. After performing the appropriate statistical analysis, the results of the study showed the presence of significant differences between the experimental and the control groups in all grammatical concepts in favor of the experimental group. The researcher recommended applying the flipped class strategy in teaching the grammatical concepts for female fifth graders.

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.

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.

Shortly after the Coronavirus disease (COVID-19) pandemic began, studies on the challenges faced by tertiary students during Emergency Remote Teaching (ERT) became available. However, the data sets were harvested early, as many countries began implementing ERT in response to the pandemic in March 2020. Many recent studies have failed to distinguish between the challenges faced by students enrolled in the laboratory and non-laboratory courses. There is still a dearth of literature on the difficulties encountered by students enrolled in non-laboratory courses following the first year of ERT implementation. The purpose of this paper was to examine the various challenges faced by tertiary students enrolled in non-laboratory courses following the conclusion of the first year of ERT implementation. Contextualized in two state-owned higher education institutions in northern Luzon, this study employed a fundamental qualitative approach, with focus group discussions (FGDs) serving as the primary data collection technique. Five major themes emerged from the FGDs with 42 purposively selected tertiary students. These themes presented in the spider web illustration include (1) student-focused challenges, (2) instructional material-related challenges, (3) instructor-emanating challenges, (4) technology-related challenges, and (5) student support-related challenges. This article concludes that these issues must be dealt with immediately to facilitate the implementation of ERT in non-laboratory courses. These difficulties may also be dimensions of concerns about distance education, particularly in non-urban areas of the Philippines. The themes also provide some actual pictures of the student challenges in the initial year of ERT in college. This paper highlighted some implications for pedagogy and educational management, as well as future research directions.

The field of education was distinctly affected by the development of information and communication technologies, as they can make education more efficient, interactive, and available. Today’s students call for new innovative educational approaches. Digital communication technologies are the organic part of their life and they are group-oriented and experienced users of these technologies. Information and communication technologies must be used in a new and more interactive way to motivate this new generation of students. One of the ways might be gamified learning. The gamification of education is an approach, which uses game practices and elements in a process of learning. Its main objective is to increase students' interest in learned topics and to motivate them to endure in learning. The gamification of the educational process is introduced in the curricula of several courses at our faculty. The paper aims to give a short overview of tools and methods of gamification of the education process. In addition to that, the implementation of gamification in our learning management system Moodle-supported business informatics course is presented.

This study aims to explore non-English speaking major student’s perceptions of Motivation and Grit and the relationship between these two factors and students’ English language performance at a public university in China. The research was conducted by quantitative research design to collect 624 non-English speaking Major students’ answers to multiple questionnaires at a public university in China. Data analysis is used by SPSS and AMOS. The study shows that Motivation and Grit all have a positive correlation with English language performance. One major conclusion of this study is Grit has the most significant effect on the English language performance of non-English speaking major students in multiple regression analysis and is also the best predictor of the relationship between these two factors and English language performance in the path analysis in Structure Equation Modeling (SEM) analysis. The finding also revealed that male students’ perception of motivation and grit is slightly stronger than that of female students. These findings highlight the need for English as a foreign language (EFL) teacher to understand students’ affective factors in learning English, and hence help them utilize different teaching methods to enhance students’ English learning and promote sustainable development of English learning in a public Chinese university.

The higher educational institution needs a group of dedicated and committed lecturers to endure the institution during these turbulent times. As the organizational commitment reflects the self-identification of an employee with the organization, it has far-reaching implications on multifarious aspects in the organization. This present study investigated whether job satisfaction could mediate the relationship between learning organization and organizational commitment. A total of 452 lecturers from Heilongjiang province in China participated in this study. Structural equation modelling showed that job satisfaction significantly mediated the relationship between the dimensions of learning organization and organization, specifically on the effect of continuous learning, connection, and strategic leadership. Job satisfaction is also found to be a stronger predictor of organizational commitment than learning organization. These findings are discussed thoroughly and recommended a holistic plan to be devised that could strengthen learning organization and job satisfaction of lecturers in various aspects of the organization.

Reflective learning in community-based education (CBE) activities requires the role of a supervisor. The ‘intensive supervision’ based on Kolb's experiential learning can provide guidance for facilitating reflection on CBE experiences through discussion. Accordingly, supervisors must receive training on providing constructive feedback sessions to assist students in reflecting. This study aimed to determine the effect of training on facilitating reflection using experiential learning methods based on the concept of 'intensive supervision' for CBE supervisors. The study design used a training program evaluation with the Kirkpatrick model of levels 1 and 2. The training on facilitating reflection was divided into workshops and mentoring sessions based on the experiential learning cycle. The questionnaire was developed to assess tutoring performance before and after the training based on the perceptions of supervisors (n=10) and students (n=43) and observers' observations during the supervisor tutoring. Descriptive and comparative data analyses were employed. The trainees showed positive reactions to the training. The students’ and supervisors’ perception questionnaires showed a significant difference in the performance of the supervisors who were assessed before and after training. Our results indicated that most of the supervisors’ ability to facilitate reflection changed following the ‘intensive supervision' method. This training helps supervisors learn how to become facilitators and students to feel more assisted in the learning process.

This study aimed to explore online and distance learning (ODL) issues related to higher education during the coronavirus disease (COVID-19) in Nepal. We applied an online survey design with a five-point Likert scale. We surveyed 71 (57 male and 14 female) postgraduate students in science education at a public higher education institution in Kathmandu, Nepal. A Principal Component Analysis identified four major constructs as the components of ODL issues. They are scarcity, efficiency, access, and inconvenience. The results of the Independent Samples Test (t-test and ANOVA) showed that participants' views about scarcity were significantly different across their gender (male and female) and device use (mobile, laptop, and desktop). They were not significantly different in their views about efficiency, access, and inconvenience across gender, device use, hometown, age group, ethnicity, and school type at .05 level of significance.

This study investigated student teachers’ teaching self-efficacy level and factors that predict it (using five-factor mentoring model). Two hundred and ten third and fourth-year student teachers (N=100/N=110; 93.8% females) were involved in the study and asked to complete a self-report questionnaire. The “Mentoring for Effective Primary Teaching” instrument and “Teachers' Sense of Efficacy Scale” were used to collect the data. Findings indicated that higher levels of student teachers' self-efficacy are positively associated with the level of mentoring experience during the teaching practicum. The results found that fourth-year students reported significantly higher levels of teaching self-efficacy than third-year students. This study reported that there is a significant mean difference in student teachers’ self-efficacy beliefs in terms of having parents in the teaching profession. A multiple regression found that mentor teachers’ personal attributes are the best predictor of student teachers' teaching self-efficacy beliefs.

This study examined the relationship between Japanese language (JL) anxiety, beliefs about JL learning, and the amount of JL used in JL classes. The participants in this study were 670 undergraduate students studying JL at the Institute of Technology in Bangkok, Thailand, as compulsory subjects. A questionnaire survey was conducted, and a stepwise multiple regression analysis found that the amount of JL used by learners had a negative relationship with JL anxiety and a positive relationship with beliefs about JL learning and the amount of JL used by both native Thai and Japanese teachers. In addition, JL anxiety interacted with the amount of JL used by native Japanese teachers and beliefs about JL learning. JL teachers, especially native Japanese teachers, should attempt to reduce their learners' JL anxiety in order to maximize the effect of teachers’ JL use and learners’ beliefs and to support them in using JL more in classes.

The learning management system (LMS) is a crucial component of the e-learning transformation which is becoming more urgent amid the Coronavirus disease (COVID-19) outbreak. The issue of adopting LMS is even more decisive in developing countries, where lots of efforts have been put out to broaden educational opportunities. However, there has not yet been any comprehensive analysis of how LMS-related issues are examined in these countries. To address this gap, this study uses the bibliometric method to construct an overview of research on this topic. The results unveil the distribution of the literature, prominent actors, and dominant themes in the literature of LMS in developing countries. In summary, the topic is a robustly potential research matter. Future researchers can use this study as a starter when investigating relevant subjects.