The objective of the study was to find out the effect of EI and gender on job satisfaction of primary school teachers. A total of 300 (150 male and 150 female) primary school teachers were selected randomly for the study. Emotional Intelligence Scale (EIS) and Teachers’ Job Satisfaction Scale (TJSS) were used to collect the data. The study found a significant positive relationship between emotional intelligence and job satisfaction. Regression analysis showed that emotional management and emotional maturity significantly predicted the job satisfaction. The results of the two-way ANOVA showed that the interaction effect of gender and EI was not significant. Results also showed that level of EI significantly affected the job satisfaction of primary school teachers. However, there is no significant difference between male and female teachers regarding the level of job satisfaction. There are other factors which affect job satisfaction but the role of EI cannot be neglected. So the level of EI must be taken into consideration in order to select the best teachers.

Facilitating effective mathematics learning and higher mathematics achievement have long been recognized as a key to the scientific and technological advancement of the African continent. While the central role that language proficiency plays in mathematics teaching and learning has received an overwhelming research attention in the literature over the past two decades, this is not the case among African policy-makers and political leaders. Drawing mainly from our professional experiences as mathematics educators and from the international research literature, our primary intent in this paper is to answer this question: How does the learning of mathematics in English at the basic school level help or hinder students’ mathematical proficiency? To answer this question, the paper is organized as follows. The first part, the introduction, gives a brief overview of the language of learning and teaching in Africa. The second part describes the method and conceptual framework undergirding the research. In the third section, we have analyzed the effects of mathematics learning and teaching through English for basic students whose mother tongue is a Ghanaian language. The conclusion offers four recommendations for developing and improving the mathematics proficiency of students in basic schools.

The purpose of the research is to evaluate pre-service preschool teachers' knowledge about environment by analyzing their drawings about it. 70 first grade, 99 second grade, 56 third grade and 44 fourth grade, with a total of 269 students have been evaluated in this research. This qualitative research was made with social structuralism vision. The data used in this research were gathered by draw and tell conversation technique, where pre-service teachers were asked to draw the first thing when they think about environment and explain it. When analyzing the data, both qualitative and quantitative techniques were used. After analyzing collected data, it is seen that most used object in drawings are tree, human, house and sun, respectively. 4 themes and 12 sub-categories under these themes are detected by pre-service teachers' drawings. The most drawn theme by pre-service teachers is Theme 3: a place which affected/designed by third persons, while the least drawn is Theme 4: a place where humans, animals and plants lives together. 10 categories have seen after analyzing explanations of the drawing. Most explanation seen in the places that supports human life category. Independent variables of the research (sex and grade level) and themes and explanations of the drawings are statically and meaningfully related to each other. The most significant result of this research is that pre-service preschool teachers have human-centric system of thought about environment.

The major purpose of this study was to create a path analysis model of academic success in a group of university students, which included the variables of academic confidence and psychological capital with a mediator variable - academic coping. 400 undergraduates from Marmara University and Istanbul Commerce University who were in sophomore, junior and senior years participated in the study. The Academic Behavioral Confidence Scale, the Academic Coping Strategies Scale and the Psychological Capital Test Battery composed of the Academic Self-Efficacy Scale, the Life Orientation Test, the Hope Scale and the Resilience Scale were utilized to disclose the predictive roles of these variables on academic success. The results of path analyses showed that academic confidence and psychological capital had pivotal direct and indirect effects on academic success via the mediator variable – academic coping. Academic coping had also a direct influence on academic success.  The findings of the study are essential for telling both vocational counselors and educational psychologists the fact that career interventions for university students should consider the non-cognitive factors on their academic achievements.

This study aims to analyse the emotional intelligence scores of the special education teacher candidates for the predictor of multiple intelligences areas. This study was conducted through relational scanning model. 211 teacher candidates, 106 females and 105 males, participated in the study. Data were collected through Personal Information Form, Teele Multiple Intelligence Inventory and Schutte Emotional Intelligence Scale. Logistic regression analysis was used to find whether the gender and grade level variables, and optimism, utilization of emotions and the scores of emotion evaluation are statistically significant in defining predominant intelligence areas or not. SPSS 24.0 was used in the data analysis process. The results revealed that while the gender variable and optimism scores are significant variables predicting the determination of individuals in which predominant intelligence is both interpersonal and not, optimism and evaluation of emotions scores are significant variables predicting the determination of individuals whose predominant intelligence is both visual and not. However, the results suggested that demographic variables (gender and grade level) and emotional intelligence scores did not affect kinesthetic, musical, intrapersonal, logical and verbal intelligence areas which were found as the predominant intelligence areas of teachers.

The paper is part of the qualitative research project Educational Aspirations, Opportunities and Challenges for Immigrants in University Education in Iceland, conducted in Iceland’s three biggest universities. The main goal of the paper is to investigate immigrant students’ experiences of communication with teachers during the learning process and their perspectives on multicultural group work. Furthermore, the paper explores immigrant students’ experiences of learner-centred approach and culturally responsive teaching methods applied by some teachers. The data was collected through focus group interviews and qualitative, semi-structured individual interviews with immigrant students. The theoretical framework is mainly based on the constructivist theory, which emphasises the importance of communication and the learner-centred approach. Additionally, the theoretical framework includes multicultural education theory, which puts an emphasis on applying culturally responsive teaching methods in classrooms with diverse student populations. The analysis of the interviews revealed that the participants’ experiences of communication with teachers and peers were mostly positive. However, culturally responsive teaching is still a rare phenomenon in Icelandic universities. When it comes to the participants’ perspectives on group work, the experiences ranged from being highly positive to negative.

This research employs survey-based correlational model. This study has been carried out to reveal the relationships among perceived multi-dimensional social support and satisfaction with life, job satisfaction and job stress. The research data were gathered from 355 teachers working at schools in Hatay city in 2018-2019 academic year. Data were achieved by “Perceived Multi-Dimensional Social Support Scale”, “Job Satisfaction”, “Job Stress” and “Satisfaction with Life”. The relationships between multi-dimensional social support and job satisfaction, job stress and satisfaction with life have been determined in the measurement model. Structural equation model shows that perceived social support has a positive impact on teachers’ job satisfaction and satisfaction with life, in reverse, a negative impact on teachers’ job stress. Besides this, perceived social support positively affects teachers’ satisfaction with life through the partial mediation effects of job satisfaction and job stress. It has been concluded in this study that increasing perceived social support is an effective strategy for increasing job and life satisfaction and decreasing stress of teachers.

Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for research productivity. Data gathering is at the core of almost all research activity, the absence of factual and reliable data will lead to an invalid and illogical inference. In research years, there has been a massive agglomeration of data in large volumes coming from diverse sources pertaining to almost all facets of human activity which is worthy of investigation- known today as Big Data. This research has two (2) main objectives; the first is to find out the underlying reasons why Filipino academics are not enthusiastic to do research. The second is to evaluate the value of big data utilization for research productivity based on the assessment of the faculty members. This research used the Rasch model to measure the responses of Filipino academics with regards to their reasons for not doing enough research work as well as on their assessment for value creation of big data utilization using a polytomous item response selection scale.

Higher education institutions (HEIs) demand from their faculty excellent teaching output and substantial number of quality productive scholarship, hence, balancing work and family demands becomes a central challenge among academics to maintain a healthy work-life balance. The decision to have children and family shapes the career trajectories of academics as well as their research productivity in particular. Striking a balance between attending to family matters and becoming scholarly productive is a tall order among Filipino women academics, having a culture that is just beginning to adopt to the more egalitarian aspect of attending to family matters. The empirical result of this study shows that indeed, parenting is a moderating factor between work-life balance and research productivity among Filipino women academics. Female faculty members in particular are susceptible to a balancing act between family commitments most especially in producing quality researches. Family life still pervades within the spectrum of research productivity on one side and work-life balance on the other end among women academics.

This study addresses the effectiveness of learning via educational software. Recent decades have seen the integration of technologies, which are changing teaching and transforming teachers into mediating, facilitating, and guiding figures by means of digital learning methods that serve as a major tool in schools, colleges, and universities. The current study focuses on instruction provided within the Israeli Air Force and examined the effectiveness of instruction provided via educational software in terms of learning products: Bloom’s revised taxonomy, Te’eni’s affective-cognitive model of organizational communication and the STEM model. We randomly divided the learners into three groups who studied the same topic: one group studied with the educational software only, the second with the educational software together with an instructor, and the third with an instructor who used a presentation. The learners took a test and four months later they took another test to examine the effectiveness of the instruction over time. The research results show that the recall levels and performance levels on the tests were almost identical in all groups, but in the categories of understanding and applying the addition of an instructor strongly contributed to achievements: Those who received instruction via educational software achieved the best results in the understanding category, while those who studied with an instructor who used a presentation achieved the best results on the test with regard to application of the studied material. The findings of this study can illuminate the effectiveness of using educational software in learning processes in all educational systems.

Absenteeism is of great concern for K–12 school students in the United States. The aim of this study is to evaluate effects of parental participation types in absenteeism of Elementary and Secondary Education (K-12) students in the United States. We analyze the data of the U.S. Department of Education (Hanson et al., 2019), in relation to students, schools and parents’ characteristics, along with various parental involvement activities, for exploring how these factors influence K-12 students’ absenteeism in the United States. We employ Chi-square tests for the significance of relationships between parental involvement types and absenteeism of K-12 students. We also undertake multiple logistic regression analyses to evaluate the significance and odds of K-12 students’ absenteeism due to parental involvement activities and other underlying factors. The results of bivariate analyses suggest that parental involvement types are significantly associated with K-12 absenteeism (chi-squared p-value<0.05). Multiple logistic regression analysis reveals that only a subset of underlying parental activities is significantly related to higher odds of absenteeism as measured by estimates of odds ratios (OR) and 95% confidence interval estimates. It also suggests that parental education, ethnicity and poverty adjusted for other factors also significantly affect absenteeism.

This bibliometric study aims to map the value education model research to provide direction for future research, especially in education and teaching. It is essential because value is the core of education. After all, in addition to opening the window of knowledge, education also has a role in transferring values for internalizing them in the education model. Therefore, conducting studies related to the concept and model of value education is essential for an educator. The focus of this study is to examine the bibliography related to the value education model based on the Scopus database in the period 2011-2020. This research took four stages; first: using Publish or Perish application to search articles from Scopus database. Second, performing filter by setting bibliographic criteria to be analyzed. Third, checking and completing articles' metadata through the EndNote reference manager application. Fourth, perform bibliometric analysis through the VOSviewer application. Through these four stages, seven analyses were explored; the trend of publications related to the value education model, analysis of the keywords used, collaboration of authors, citation patterns, institutions, and countries that were contributors to the study of the value education model, and abstract analysis. The results of this exploration conclude that there is a tendency for academics to pay less attention to the value education model when viewed from the number of publications related to the topic. The contribution of this research can be expected to provide direction for other researchers in conducting research and development related to educational models.

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.

Technological tools are means by which online teaching could encourage the engagement of students, especially elementary students. The present research studies how elementary teachers develop their use of technological tools in their asynchronous and synchronous online teaching, specifically when this online teaching occurs during emergency education. The research was conducted in the academic year 2019/2020. We interviewed two elementary teachers, where one of them taught asynchronous lessons more than synchronous, while the second taught synchronous lessons more than asynchronous. We analyzed the data using two frameworks: one for interaction type and one for engagement type. The research results indicated that different interaction types influenced teachers’ decisions to use technological tools. In addition, what concerned the teachers’ use of tools at the beginning was the cognitive engagement, but they advanced towards focusing on behavioral and the affective engagement.

The increasing sophisticated learning technology and COVID-19 have pushed the teaching-learning process to use pedagogy, andragogy, and cybergogy approaches. The current research aims to investigate the relationship between the practices of these three approaches and student self-regulated learning. The structural equation model used indicates that pedagogy practices may affect the andragogy practices in teaching-learning process. Pedagogy approach shows no direct effect but has an indirect effect on students’ self-regulated learning. The indirect effect comes from the pedagogy-andragogy continuum and the impact of pedagogy instruction on cybergogy practices. Andragogy practices also gives a significant impact on students’ self-regulated learning and how the students use learning technology in cybergogy approach. Andragogy and the continuum of cybergogy promote students’ self-regulated learning. These results indicate that pedagogy-andragogy continuum can have an interplay with cybergogy. The interplay of these approaches may encourage students’ self-regulated learning. The current research can be a baseline to construct a new approach in teaching-learning process and its instructions in the classroom.

The purpose of the current study was to analyze social media content related to physical education. In the context of summative qualitative content analysis, I took advantage of big data analytics to access the data. Machine learning of this big data mapped the large content volume from four major social media platforms. The data was collected by extracting social media posts from January to December 2020. The big data analysis process sorted, categorized, and classified the enormous data into several preeminent topics regarding PE. These computerized analyzes were used to identify themes that were further analyzed using qualitative methods. The results revealed two overarching themes. These themes were (a) PE representation as a school subject and (b) the images of PE teachers on social media. The second theme consisted of three subthemes: masculine traits of PE teachers and negative and positive sentiments toward these teachers. I concluded that key aspects of PE discourse in virtually mediated reality share topical characteristics with what people have previously socially constructed. However, the themes offer a new addition to the literature in that the analysis offers a new perspective on ongoing debates about the social construction of PE through enormous large data sets.

A virtual-based disaster learning model was created to enhance understanding of COVID-19 disaster mitigation following the characteristics of elementary school students because the high number of child deaths brought on by the COVID-19 pandemic served as the driving force behind this research. The virtual-based disaster learning model had been deemed valid, but more study is required to ascertain its impact on primary school pupils' comprehension of COVID-19 disaster mitigation. This study sought to determine how the virtual disaster learning model affected elementary school pupils' understanding of COVID-19 disaster mitigation. This study was a quasi-experimental investigation. Non-equivalent control group design was the type of experimental design employed. The t-test showed that students who studied using virtual-based disaster learning models and those who used conventional learning had different average levels of understanding of COVID-19 disaster mitigation. According to the findings, primary school children who learned using virtual disaster learning models had higher scores than students who used conventional methods. This finding revealed that virtual disaster learning models could improve understanding of COVID-19 disaster mitigation. The results of this study's implications can be applied as a different approach to enhancing elementary school kids' comprehension of emergency planning for COVID-19.

Psychosocial and educational intervention approaches employ diverse treatment frameworks, most of which involve delivering some form of feedback to participants about their behavior. General conceptions of feedback are well-known to underlie mainstream therapeutic and educational approaches. Recently emerging ‘smart’ approaches also rely on feedback principles. However, little scholarship is available to stitch together evolving strands of feedback principles and no literature characterizes explicitly the diverse landscape of feedback practices employed in education or intervention science. This paper reviews intrinsic conceptions of feedback along with diverse cases of its use in intervention and education. Based on our consideration, we present a typology of feedback modalities that we hope will enrich the efforts of interventionists and educators to design treatment and educational frameworks incorporating feedback.

The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.