Higher education institutions around the world had to implement an emergency remote education (ERE) modality due to the COVID-19 pandemic. This study aimed to determine the individual and relational factors that affect the perception of learning in engineering, education, and health students during emergency distance education. Through a quantitative, non-experimental, and correlational study, an online survey was administered to a sample of 929 higher education students regarding their ERE experience. They were surveyed regarding their perceived learning, empathy, classroom interaction, self-regulation of learning, positive agency, student engagement, learning approaches, and use of digital resources. Data was analyzed using quantitative methods, namely correlations, comparisons of means and a linear regression analysis. Education students showed a more positive perception of learning, used a deep learning approach, and rated more positively the empathy shown by their professors and the possibilities for class participation than other students. Engineering students had the lowest scores on perceived learning and on almost all other variables. In general, students with a better perception of learning presented a higher engagement in their studies and a lower use of surface learning approach.

This study focused on teachers' awareness of students' learning situations during distance learning. It took place at the Nueva Ecija University of Science and Technology (NEUST) - Gabaldon Campus during the academic year 2021-2022. The study employed descriptive-comparative and descriptive-correlational designs. The 249 students were selected using a stratified sampling technique, whereas the 25 teachers were selected using a purposive sampling technique. Findings revealed that teachers are aware of their students' situations. The students believe that they faced learning challenges during distance learning. There is a significant difference between male and female teachers in terms of student learning environment awareness, but no statistically significant difference in the teacher's awareness of the student's learning situation across age groups, service years, and academic rank. There is a significant difference in the learning anxiety of male and female students but not in the learning environment and blended learning readiness. The learning environment and readiness for blended learning do not differ significantly across age groups of students, but anxiety does. A statistically significant difference in student readiness in blended learning was observed based on students' courses but not on the learning environment or anxiety. There is no significant difference in students' learning situations based on family income or parental educational attainment. There was no significant difference in student achievement based on the teachers' level of awareness. Achievement is positively correlated with learning environment and readiness but negatively associated with anxiety. In addition, the study discussed its theoretical and practical implications.  

This research aims to examine the effect of coding education on the analytical thinking skills of gifted students. The participants are 18 students, 11 to 12 years old. An embedded experimental mixed design was used in the research. The data collection was carried out with the Analytical Thinking Skill Scale to determine the difference in the analytical thinking skills of the study group before and after the coding training; the Analytical Thinking Skill Observation Form to determine the analytical thinking skill levels during the implementation process; and the semi-structured interview form to get their opinions on the coding training. The data were analyzed with a pre-test-post-test quasi-experimental design, descriptive analysis, and content analysis. The results show that coding education developed the participants' analytical thinking skills. The difference in the analytical thinking skills of the study group was not statistically significant in terms of gender. According to the students' views on the coding education application process, there was an improvement in the sub-dimensions of sorting, classification, comparison, and evaluation in analytical thinking skills; coding education developed problem-solving and thinking skills, was useful, encouraged students to choose a profession, and was entertaining, as well as negative opinions such as being difficult, boring, and requiring a lack of time.

Internal and external assessment instruments, such as the Vanuatu Standard Test of Achievements (VANSTA) and the Pacific Island Literacy and Numeracy Assessment (PILNA), reveal that mathematics achievements in the Republic of Vanuatu remain below the minimum standard. This study drew on the constructivist grounded theory approach to explore teachers' perspectives of the learning and teaching processes in mathematics education in the Republic of Vanuatu. Specifically, the focus was on the ‘I do-we do-you do’ approach of teaching, which is common in mathematics education in the country. Teachers' opinions about the current situation of mathematics education and possibilities for improving it were extracted using semi-structured interviews with 22 teachers from two randomly selected urban schools. Based on the constructivist grounded theory analysis, four major interlink themes were found. Overall, the findings show that mathematics achievements in the country can be improved through proven discovery-learning strategies for stimulating students' mathematical thinking in the 21st century, such as the ‘try-understand-apply-mastered’ (TUAM) discovery learning process.

I use the disability studies framework and autoethnography method in this qualitative research to examine my lived experiences in education and their impact on the disability community. The qualitative research method focuses on obtaining data through open-ended and conversational communication. This method is about what people think and why they think so. Disability Studies is an interdisciplinary body of intellectual work that positions disability positively and complexly, interrogating rhetoric that disability is a deficit that experts should remedy. Autoethnography is a research method and methodology which uses the researcher’s personal experience as data to describe, analyze and understand cultural experience. I focus on my disability community membership, professional development, and ways I integrate social justice in teacher education to correct education systems into ones that value disabled people. Using the self-study technique, I review my education journey and identities and how they have shaped me into a teacher educator who believes education leverages us to question happenings and provide solutions. I, therefore, reflect on the entwinement of my scholarship and community outreach and how they are geared towards creating and advancing a local and global pluralistic society that values disabled people. My values of collaboration, innovation, integrity, excellence, access, diversity, equity, equality, and inclusion are best practices that dismantle educational barriers and empower educators and disabled people.  

Considering the fact that learning difficulties are mostly related to academic learning, and students first encounter tasks related with academic learning during the pre-school, it is critical for early intervention that the first symptoms of students with potential learning disability are detected by the pre-school teachers. The aim of this research is to examine knowledge levels of pre-school teachers about the characteristics of learning difficulties that 3–6 years old students, in the pre-school period, may show. With this aim in mind, the development of the “Test for identifying characteristics of learning disabilities in pre-school students (3-6 years)” was completed with 471 pre-school teachers and pre-school teacher candidates of the last grade of pre-school education program. The research has been done in the survey model with a quantitative approach. The sample of the study consists of 291 pre-school teachers. The data have been collected by means of the “Test for identifying characteristics of learning disabilities in pre-school students (3-6 years)” and analyzed using descriptive statistics techniques. At the end of the research, it has been found that there are no statistically significant differences in knowledge levels of pre-school teachers regarding the cognitive, affective, social and motor characteristics of learning disabilities in terms of their gender, the program they have graduated from, having taken courses on special education, having taken courses on learning disabilities, the types of institutions they worked at, and their class sizes. It has been found that there are statistically significant differences in their knowledge levels about cognitive, affective, social and motor characteristics of learning disabilities according to the length of service, teaching students with learning disabilities, having inclusive students in their class, having a relative in need of special education, and teaching students with learning disabilities variables.

This study aims to examine the 9th-grade 2018 physics curriculum according to various criteria. A cross-sectional survey model was used. The sample consists of 36 physics teachers working in various high schools in 12 regions of Turkey in the 2022-2023 academic year. The data of the study were collected via the “9th-grade 2018 physics curriculum Evaluation Form”. The data collected via the evaluation form were determined with the multilevel Rasch analysis program. The results of the research revealed that the criteria determined in the evaluation of the 9th-grade physics curriculum differed in terms of strictness and generosity. In addition, the quantitative data analysis revealed that the physics teachers mostly comply with the criteria set in the program while they disapprove of some criteria. The physics teachers reported some deficiencies in the objectives, content, and educational status of the elements included in the program. In this context, it is recommended that the achievements of the 9th-grade 2018 physics curriculum be reviewed in line with the evaluations of the stakeholders related to the subject.

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.

This study aims to investigate the perceptions of Generation Z students about ideal learning after the pandemic in Indonesia. This research uses a qualitative design with a phenomenological approach. There were 30 students from 6 different campuses in Serang City, Banten, Indonesia, who used a purposive sampling technique as research participants. Data collection was carried out using semi-structured interviews, which were then analyzed using thematic analysis techniques. The findings of this study state that there are four main themes regarding ideal post-pandemic learning, namely: (a) learning that is not monotonous, (b) equal portions of theory and practice, (c) ideal learning managed by an ideal lecturer, and (d) the need for the application of blended learning. This research contributes to the current literature on designing ideal learning on campus after the COVID-19 pandemic.

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 teacher efficacy has a strong influence on education quality.

This descriptive phenomenological study looks into the lived experiences of teacher education college students on what it is like to learn math online during the COVID-19 pandemic. Due to the pandemic, online math learning may pose even more significant challenges. Hence, the researchers conducted the study to better understand and support the students in these challenging times. They interviewed 16 college student participants, who consented to participate in the study, to share their actual experiences - the challenges, struggles, and opportunities – in learning math online during the pandemic. The interview transcripts were analyzed following Colaizzi's method. Results revealed the following themes: (a) The hurdles: poor internet connection, unconducive learning space, difficulty in understanding the topics, financial problems, and health problems; (b) The upper hands: ease of access to varied resources, staying at home, and flexibility of the teaching and learning process; (c) The key takeaways: improved time management, self-discipline, resourcefulness, and growth mindset. The researchers recommend that the management of educational institutions consider the students' demographic data, financial level, available resources, and mental and emotional health while designing and implementing online programs. Further, future research may be conducted on the teachers' concerns that may influence students' online learning experiences with Math and other disciplines.

Based on institutional theory, this study explores the causal relationship between teacher professional identity, perceived institutional norms, and teachers’ conformity behavior in colleges and universities in Hunan Province. A questionnaire survey was conducted on 500 teachers from two universities in Hunan Province. The reliability and validity test results and structural equation modeling analysis show that the professional identity of college teachers positively affects their conformity behavior, and that perceived institutional norms partially mediate the relationship between teacher professional identity and teacher conformity behavior. The research enriches the application of institutional theory in university organization and provides an empirical basis for universities to improve teachers’ conformity behavior.

The purpose of this study was to classify the active job behaviors of Generation Z (Gen Z, born after 1995) elementary school teachers and investigate relevant variables that significantly affect such a classification. A total of 375 Gen Z elementary school teachers who passed the National Elementary Teacher Qualification Test and had worked in elementary schools in South Korea participated in this study. The data collected identified the types of active job behaviors among Gen Z elementary school teachers using cross-tabulation through Latent Profile Analysis (LPA). A multinomial logistic regression analysis was conducted to identify the predictors that influence the types of active job behaviors of Gen Z elementary school teachers. The results were as follows: First, there are four types of active job behaviors of Gen Z elementary school teachers: Ideal, relational, non-participatory, and passive job performance types. Second, teacher efficacy, learning agility, organizational commitment, and principals’ transformational leadership influenced the types of active job behaviors of Gen Z elementary school teachers. The results offer insights into the human resource management of Gen Z elementary school teachers and have significant implications for improving the active job behavior of Gen Z elementary school teachers.

Education systems worldwide have been significantly disrupted due to the COVID-19 pandemic, creating an immediate need for a revamp of conventional teaching and learning techniques. To explore how this has affected the educational landscape, a scoping review was conducted. This scoping review aimed to examine the changes that occurred in the education field and to explore how it has transformed the educational landscape review. Using Arksey and O'Malley's methodology, 51 articles were selected for analysis from two leading databases: Scopus and Web of Science. All chosen articles were then subjected to thematic analysis. Three main aspects impacted by this global event were uncovered, which are technological advancements and digital transformation, changes in pedagogy and teaching methods, and mental health and well-being issues. This scoping review provides valuable insights into one of the most critical sectors affected by COVID-19, which can assist with planning future strategies for similar crises.

Examining the academic locus of control, procrastination, and school satisfaction is crucial for understanding student well-being and educational outcomes. The purpose of this study was to explore the potential mediating role of academic procrastination in the association between academic locus of control and school satisfaction in a sample of adolescents (N = 628; X̄ = 13.30, SD = 1.74) residing in various regions of Azerbaijan. The results revealed that higher levels of internal locus of control were positively related to school satisfaction, while increased levels of external locus of control were negatively associated with school satisfaction. The analysis using structural equation modeling showed that school satisfaction was partially influenced by academic procrastination, which acted as a mediator in the relationship between internal locus of control and school satisfaction. Additionally, academic procrastination fully mediated the relationship between external locus of control and school satisfaction. These findings were further discussed in the context of existing literature, and recommendations were provided for future research in this area.

Increasing the number of entrepreneurs is not just a school task, it requires joint work between educational institutions and the community. Using structural equation modeling, this research aims to investigate the role of community in promoting entrepreneurial careers for students, by adding achievement motivation, entrepreneurial attitudes, and entrepreneurial intentions as predictor variables. The population of this research was high school students in urban areas, and the sample was taken based on convenience sampling, with a total of 300 students participating. Data were analyzed using EFA, CFA, and structural model evaluation using SPSS 24.0 and AMOS 24.0. The research results show that all hypotheses are accepted, meaning that community support influences students' entrepreneurial career choices, as do other predictor variables. This study can provide guidance for developing educational strategies and policies that support the development of young entrepreneurs in the future, through predictor variables.

This study aims to explore the relationship between proactive behaviors, teaching performance, and organizational support among vocational college teachers. Based on the theory of organizational support, we conducted a survey of 373 teachers from four vocational colleges in Shanxi Province, using scales for proactive behaviors, organizational support, and teaching performance. The results indicate that: (a) There is a significant correlation between teachers' proactive behaviors and teaching performance; (b) There is a significant correlation between teachers' proactive behaviors and organizational support; (c) Organizational support plays a significant mediating role in the relationship between teachers' proactive behaviors and teaching performance. This study enriches the application of organizational support in vocational colleges, providing empirical evidence for improving teachers' proactive behaviors in higher education institutions, which could be useful for central or local education policy decision-makers and implementing units. Additionally, this model could be further applied beyond vocational education to other contexts or policies, demonstrating both theoretical and practical significance.

Mathematical modeling offers a promising approach to improving mathematics education. This study aims to determine if the concept of metacognitive awareness in the learning process is associated with mathematical modeling. This study also considers the interaction effect of sex and academic year level on both variables. Focusing the study on preservice elementary teachers might address potential issues and targeted intervention in their preparation program concerning their ability to teach and guide young learners in modeling activities. The research sample includes 140 preservice elementary teachers at Central Luzon State University, Philippines. Data collection used an adapted metacognitive awareness inventory and a validated researcher-made mathematical modeling competency test aligned with the K-12 mathematics curriculum in the Philippines. Results revealed that the preservice elementary teachers had a high metacognitive awareness and mathematical modeling competency, ranging from 22 to 31 out of 36 points. Besides, Factorial ANOVA indicates that academic year level positively affects both variables regardless of sex, and stepwise regression analysis unveiled that information management, declarative knowledge, and planning significantly predict 41.4% of the mathematical modeling competency variance. This suggests that developing metacognitive awareness supports preservice elementary teachers in performing modeling tasks that improve their competency level in mathematics.

This research concentrated on observing academic student teachers’ teamwork, especially its effectiveness and their attitudes to collaboration and transformation, as well as their reflective, written self-assessments in relation to teamwork. Teams have been studied widely, but these kinds of special contexts are rare. The target group was higher education teachers, the context was an introduction of a new pedagogical program, and the teams acted under the guidance of mentors and occasional lecturers. Besides the content analysis, the study method was a deep analysis of the essays. The most effective positive influencers proved to be social exchanges, including mentoring, peer support, input for learning and the experiences of wellbeing. Individual distrust of working methods in teams, and emotional suspicions of their self-efficacy in transformational settings emerged as latent factors, revealing mainly the difficulty of changing traditional mindsets. The analyses offered individual and community-wide opportunities to steer education in the future.

This study is designed to illuminate the role of four key constructs—teacher-student relationships, peer networks, satisfaction with support services, and employability trust—in shaping the social capital within universities. Utilising a sample of 1902 working students derived from the Eurostudent VII survey data, this research applies both exploratory and confirmatory factor analysis to validate the proposed model. The findings indicate that all four constructs demonstrate statistically significant and positive associations with university social capital. Crucially, the measures of reliability and validity are within an acceptable range, lending credibility to the findings. The teacher-student relationship was found to be the most influential factor, highlighting its crucial value in the functioning of social capital inside universities. Along with providing a framework for future studies on the ever-changing nature of social capital in universities, the results highlight the significance of cultivating an interconnected academic community, which enriches the educational organisation as a whole.