This study was conducted following the initial stage of the transition to distance education necessitated by the onset of the COVID-19 pandemic and meeting the various challenges that came with it. At this point, countries and teachers have gained experience in preparing and delivering online education. Therefore, the study aimed to identify the beliefs of primary school mathematics teachers about teaching in synchronous virtual classrooms. It adopted a mixed methods approach, following a convergent parallel design. The overall study sample comprised 410 male and female teachers. A questionnaire was used to collect quantitative data across three dimensions (teaching efficiency, employing the philosophy of active learning, mathematical achievement). There were 31 items (verified for validity and reliability) comprising statements measured using a five-point Likert scale, together with open-ended options for further elaboration. In total, 130 teachers completed the questionnaire. Interviews were conducted with 10 teachers to collect qualitative data. The results show means in the range 3–5.75 for agreement with statements concerning the beliefs of mathematics teachers about teaching in virtual classrooms in the following order of importance: teaching competence; mathematical achievement; employing the philosophy of active learning. The study also found no statistically significant differences attributable to the variables of gender, qualification, or teaching experience, and also that many factors are considered to affect teaching in synchronous virtual classrooms related to the teacher, the family, and the student.

The delivery of science, technology, engineering and mathematics (STEM) learning to improve an individual’s competence and future career interests has become a critical scientific undertaking for teachers and researchers alike. A plethora of research has proposed various hands-on robotics activities built on constructivist theories, thereby facilitating the development of knowledge based on reality for scientific and non-scientific stakeholders. Robotics may become an essential focus point within technology provision, which is an essential underlying characteristic for the seminal development of computational thinking (CT). However, despite the potential benefit of CT in developing an individual’s problem-solving skills, strategies for improving this ability through hands-on robotics activities largely remain underexplored. This paper highlights the constructs drawn from hands-on robotics activities in a STEM workshop designed for pre-service teacher students. The qualitative research design involved eight participants to investigate the responses of pre-service teachers to a hands-on robotics activity intended to provide STEM material. The research findings emphasise the correlations between the CT principles and STEM learning phases and underscore the roles played by educational robotics to enhance previous literature on learning experience.

During didactic interactions, teachers and students employ competencies and skills that correspond functionally to one another, and several models propose to typify didactic performances in higher education. For this study, we chose the didactic performance interbehavioral model as the substantive theory to identify six pairs of didactic performance criteria through self-evaluations from graduate students. These included: Competency exploration–precurrent learning behaviors, Criteria explicitness–Criteria identification, Illustration–Participation, Practice supervision–Relevant practice, Feedback–Improvement, and Evaluation–Application.309 Peruvian students from an in-person postgraduate course in Education Sciences filled out two scales (via Google Forms) to assess teacher-student performance criteria during online classes. Convergent and divergent validity were obtained separately for six teacher/student performance constructs through a confirmatory analysis using LISREL 8. Moreover, differences according to sex were only significant for the Illustration teacher criterion (favoring men) and the Application student criterion (favoring women). Students rated Explicitness of criteria and Illustration as the teacher performance criteria most frequently seen during online classes. On the other hand, Criteria identification ranked the highest in terms of the students’ performance criteria, followed by Feedback–Improvement. Another conclusion was that the didactic performance interbehavioral model could be empirically supported by the two self-assessment questionnaires, which yielded good convergent and divergent validity of constructs.

Teacher agency is a set of actions that a teacher takes beyond what is generally expected of them. The concept merits examination, as agency can bolster teachers’ ability to set and achieve professional development goals. To better understand how to study, and use, this relatively new concept in the academic literature, a systematic review of 164 publications written by researchers from 41 countries was conducted in order to document the research approaches used to study teacher agency, the participants whose agency was documented in a school setting, the methodology used and the type of analysis performed. The study found that teacher agency has been documented qualitatively in the form of case studies comprising interviews of a small number of individuals, with no consensus in terms of interview protocol. In most cases, the results are analyzed using emergent coding. The way that agency is documented varies but is most often underpinned by an ecological approach.

The skill to solve mathematical problems facilitates students to develop their basic skills to solve problems in daily life. This study analyzes students' problem-solving process with a reflective cognitive style in constructing probability problems using action, process, object, and schema theory (APOS). The explanatory method was used in this qualitative study. The participants were mathematics students at the Department of Mathematics, Universitas Negeri Semarang. The researchers collected the data with the cognitive style test using the Matching Familiar Figure Test (MFFT), used a valid problem-solving skill test, and the interview questions. The data analysis techniques used were processing and preparing the data for analysis, extensive reading of the data, coding all data, applying the coding process, describing the data, and interpreting the data. The results showed that (1) the problem-solving process of students with symbolic representation was characterized by the use of mathematical symbols to support the problem-solving process in the problem representation phase; (2) the problem-solving process of students with symbolic-visual representation was characterized by the use of symbols, notations, numbers, and visual representation in the form of diagrams in the problem representation phase.

Crises like COVID-19 affect organizations as well as employees' well-being. Leaders, in this sense, have a critical role to play in reducing the challenges and promoting a healthy workplace. With employees feeling overwhelmed and anxious to cope, leaders should provide the appropriate support and guidance. This quantitative study examined the relationship between different leadership styles, which are participative, directive, supportive, and Laissez-Faire, and teachers' well-being in the United Arab Emirates (UAE). The study adds insights into the UAE's public school context, where 101 teachers were surveyed following a snowball sampling technique. Findings revealed that Laissez-Faire and directive styles were the most dominant among the four leadership styles examined. In terms of the relationships between leadership styles and well-being, correlation and regression analyses were done through SPSS, and findings from the Generalized Linear Model analysis revealed that although the four styles correlated positively with well-being, the participative leadership style had the most decisive influence. The results showed that none of the demographics had any significant influence on well-being, and no differences in well-being in terms of demographics were reported.

This study is qualitative with descriptive and aims to determine the process of generalizing the pattern image of high performance students based on the action, process, object, and schema (APOS) theory. The participants in this study were high performance eighth-grade Indonesian junior high school. Assignments and examinations to gauge mathematical aptitude and interviews were used to collect data for the study. The stages of qualitative analysis include data reduction, data presentation, and generating conclusions. This study showed that when given a sequence using a pattern drawing, the subjects used a number sequence pattern to calculate the value of the next term. Students in the action stage interiorize and coordinate by collecting prints from each sequence of numbers in the process stage. After that, they do a reversal so that at the object stage, students do encapsulation, then decapsulate by evaluating the patterns observed and validating the number series patterns they find. Students explain the generalization quality of number sequence patterns at the schema stage by connecting activities, processes, and objects from one concept to actions, processes, and things from other ideas. In addition, students carry out thematization at the schematic stage by connecting existing pattern drawing concepts with general sequences. From these results, it is recommended to improve the problem-solving skill in mathematical pattern problems based on problem-solving by high performance students', such as worksheets for students.

The evolution of the COVID-19 pandemic has affected various aspects of human life, with numerous activities carried out through networks, including education. Lecturers need to change their teaching strategies to make students able to accept the material provided. On the other hand, students must manage their lives without being limited by space and time to avoid stress and cyberloafing, especially in the academic field. Cyberloafing is the act of accessing the internet during study hours for personal interests. Therefore, this research aims to determine the effect of academic stress on cyberloafing and whether fatigue is a mediating variable between both factors. Data were collected from 284 students studying in Bandung, West Java, Indonesia. The results showed that the academic stress felt by students has a positive and significant effect on cyberloafing behavior. Although fatigue positively affects both factors, it does not mediate the relationship between them. The managerial implications in this research are expected to be used as material for evaluating online learning methods for students, as well as to make them aware of the negative impact of cyberloafing behavior during lectures.

This study used the structural equation modeling (SEM) approach to test a model that hypothesized the influence of self-efficacy, self-control, emotion, and engagement on student academic performance. The structural equation modeling model was developed to link all the study variables with a literature review to describe the interrelationship. Data collected were from 413 college students in their second year. The results show that self-efficacy, self-control, emotion, and engagement predict student academic performance. And through emotion and student engagement, both self-efficacy and self-control predict student academic performance indirectly. Practically the measures used in this study give more information about the learning environment in higher education settings than those usually come from traditional practices faculty received in the classroom, such as student rating forms and feedback. The main findings of this study have some implications for higher education, theory development, measurement, and future research.

The greatest impact of the COVID-19 pandemic on Indonesian education was the decline in teacher performance. In light of this information, this study analyzes the role of supervision, salary and benefits, school climate, training and development, and perceived organizational support in moderating the impact of competence on teacher performance during the COVID-19 pandemic. This study also compares the relationships between employed government and private teachers. Data were collected through questionnaires to teachers with a sample of 166 government teachers and 175 private teachers in primary and secondary schools through a Google form and analyzed using moderated Structural Equation Modeling-Partial Least Square (SEM-PLS), multigroup, and multilevel analysis. The results showed that salary and benefits, training, and development did not affect the performance of public school teachers. In contrast, only salary and benefits did not affect teacher performance for private teachers. Moreover, only supervision significantly moderated the effect of competence on the performance of public school teachers. However, supervision, salary, benefits, school climate, training and development, and perceived organizational support did not affect private teachers' performance. The Ministry of Education or the Foundation needs to review and improve the mechanisms of training and development, supervision, and school organizational climate to promote optimal teacher performance during the pandemic.

The various intuitive reasoning types in many cases comprise the core of students’ misconceptions about concepts, procedures and phenomena that pertain to natural sciences. Some researchers support the existence of a relatively closer connection between the right hemisphere and intuitive thought, mainly due to a notably closer relation of individual intuitive cognitive processes with specific right hemisphere regions. It has been suggested that individuals show a different preference in making use of each hemisphere’s cognitive capacity, a tendency which has been termed Hemisphericity or Hemisphere Preference. The purpose of the present study was to examine the association between hemispheric preference and students’ misconceptions. A correlational explanatory research approach was implemented involving 100 seventh grade students from a public secondary school. Participants completed a hemispheric preference test and a misconceptions documentation tool. The results revealed that there wasn’t any differentiation in the mean score of misconceptions among the students with right hemispheric dominance and those with left hemispheric dominance. These findings imply a number of things: (a) the potential types of intuitive processes, that might be activated by the students, in interpreting the biology procedures and phenomena and their total resultant effect on students’ answers, probably do not have any deep connection with the right hemisphere; (b) it is also possible that students might use reflective and analytic thought more frequently than we would have expected.

Learning evaluation is a complex task, and this study illustrates the Constructive Assessment of Learning as a complementary alternative to evaluate the computational cognition schema construction. The authors designed a mental representational task under the Chronometric Constructive Cognitive Learning Evaluation Model. Control and experimental groups performed a conceptual definition task based on the Natural Semantic Network technique (NSN). They defined ten target concepts related to computational cognition theory, using verbs, nouns, and adjectives as definers. Afterward, the participants rated the conceptual quality of each definer one by one, on a scale of one to ten; the higher the rating, the greater the quality of the definer to define the target concept. The results indicate that the NSN technique was sensitive to measuring and discriminating cognitive changes in knowledge structures produced by the specific learning of computational cognition theory. In contrast, the learning of broad psychology subjects produced general cognitive changes without organization related to the specific learning of the evaluated course. Data showed more sophisticated cognitive change patterns on the evaluated schema in the experimental group than in the control group. The findings of this study suggest that cognitive assessment techniques can be helpful in the formative assessment of learning and provide clear indicators of students' knowledge management skills.

This study aimed to evaluate the effect of online social support (OSS) on the psychological well-being (PWB) of caregivers of children with autism spectrum disorder (ASD). The role of gender as a moderator variable in the relationship between online social support and psychological well-being was also investigated. A quantitative research design was used to collect data from 154 caregivers of children with ASD in Indonesia using PWB and OSS questionnaires adapted into Bahasa Indonesia. Data were analyzed using SMART PLS 3.0. Online social support influences the psychological well-being of caregivers of children with ASD. At the dimension level, several OSS dimensions also affect PWB. The effect of online social support on psychological well-being is the same in both the male and female groups. This means that male and female groups benefit equally from online social support. Future research should combine the study with a qualitative method to gather data from caregivers on how OSS affects their PWB in order to gain a holistic perspective. It could be a suggestion to policymakers to provide beneficial online social media for caregivers of children with ASD.

School quality has become a guiding concept that increasingly shapes educational planning and school development. For many decades, it has been a topic of significant interest, resulting in a wide-ranging and diverse research field. However, it is far from clear how school quality should be defined, what it should encompass, and how it influences student performance. The goal of this scoping review is to examine the existing evidence of the relationship between characteristics of school quality and student cognitive output/ student performance in secondary school. More precisely, it aims to (a) identify, (b) categorize, and (c) examine and evaluate the effects of characteristics of school quality affecting student performance and teaching characteristics in secondary school. In order to achieve these aims, we selected, clustered, and analyses 37 articles. The process was conducted by the research group through regular meetings, discussions, and consensus decisions. Our findings contribute to the comprehensive body of literature by identifying the following dimensions: aims and strategies for quality development, leadership and management, professionalism, school culture, and resources. Furthermore, the review revealed that although the field of school quality has been extensively researched, it lacks consistency, with many different operationalisations and definitions, making comparisons and syntheses challenging or even impossible. We believe that clear operationalisations and definitions are crucial to achieving comparability. Additionally, to achieve a standardized understanding of school quality and establish the categories internationally, uniform, theoretically sound, and content-related definitions of each category are necessary.

Several studies have demonstrated that bullying and cyberbullying are prevalent in Pakistani educational institutions, negatively affecting students' physical and mental health. Literature has revealed that it has not always been successful to prevent bullying in Pakistani educational institutions by adapting or adopting antibullying interventions from other countries. Sohanjana Antibullying Intervention is the first contextualized antibullying intervention designed specifically for Pakistani teachers. Assisting teachers in identifying bullying and victimization issues prevalent in educational institutions, intervening quickly to assist pupils, and creating a conducive school environment are the main goals of this program. A description of the Sohanjana intervention program, its modules, and its design is presented in the current study. After a comprehensive literature review on bullying in Pakistan, and conducting a baseline survey for need assessment, the program’s content and activities have been developed. In this 32-hour professional development program, teachers are trained on eight different themes over the course of eight modules. In the present paper, the design, the theoretical background, details of the different modules and preliminary evaluation data of the Sohanjana intervention program are presented. A pilot study of the intervention so far has produced successful results and gathered positive feedback from participants. As a result of the feedback, several recommendations and suggestions are discussed in the study.

The study focused on generational differences in teachers’ professional competencies (interaction styles, teaching styles and didactic competencies) and motivation for the teaching profession. A total of 462 teachers (20 students with at least a bachelor’s degree; age: M = 43.36, SD = 11.05) participated in the study. The Questionnaire on Teacher Interaction (Slovak version), the Slovak Teaching Style Questionnaire, the Didactic Competencies Questionnaire and the Scale of Motivations for Choosing Teaching as a Career were administered. Teachers were divided into generations (Baby Boomers, born up through 1964; Generation X, born 1965 – 1980; Generation Y, born 1981 – 1996; Generation Z, born 1997 and later). The main finding of the study was that there were significant generational differences in professional competencies but no differences in motivation for the teaching profession. On the other hand, there were strong preferences for the leadership, helpful, student-teacher responsibility, understanding interaction styles and the supporting teaching style. Baby Boomers were also knowledge-oriented, Generations X and Y also goal-oriented, and Generation Z also preferred a managerial style. From didactic competencies, Baby Boomers were best in self-reflection and the realization of teaching; Generations X and Y were best in self-reflection and maintaining a positive classroom climate, and Generation Z was good in the realization of teaching.

The current understanding of autism spectrum disorder (ASD) as an alteration of neurodevelopment requires deepening in the causes that originate it. This study aims to investigate the relationship between the presence of ASD in subjects aged 2-22 years and some related biological factors (sex/gender, age, and body mass index). A quasi-experimental study, with a cross-sectional retrospective design, was conducted on 209 subjects (n = 111 with ASD and n = 98 neurotypical) who were applied to the GARS-2 test in three areas: communication, social interaction, and stereotyped behaviours between 2016-2021. The risk factors identified are related to early age (OR = 2.27, 95% CI = 1.30-3.96), being male (OR = 2.67, 95% CI = 1.41-4.68) and having underweight (OR = 2.03, 95% CI = 1.09-3.80). Differences in stereotyped behaviours (OR = 1.10, 95% CI = 1.05-1.14), functional communication (OR = 1.13, 95% CI = 1.08-1.17) and social interaction (OR = 1.11, 95% CI = 1.08-1.15), were found, being at risk as soon as scores related to ASD diagnosis. In sum, rigorous and multidimensional understanding analysis among specialists regarding people with ASD allows to evaluate the development of the set of alterations and key variables to provide support and assistance to their quality of life.

21st-century learning requires teachers and students to integrate literacy skills, scientific literacy, mathematics, reading, writing, and technology in the learning process. Students must have initiative, discipline, responsibility, confidence, motivation for independent learning, and the ability to think critically about the problems presented. This study aims to determine students' autonomous knowledge and critical thinking abilities (CTA) using mobile learning technology (MLT). This research is a quantitative study involving 83 students from four junior high schools in the city of Mataram. The data collection for independent learning and students' CTA was carried out by giving tests and non-tests to students. The test conducted was a written test in the form of a description of 10 questions covering indicators of CTA. The non-test was conducted by giving a student learning independence questionnaire with as many as 15 statements, including five indicators of learning independence. This quantitative research data analysis uses the Rash modeling application with the help of Ministep software. The analysis results show that the learning independence of male and female students in the four junior high schools obtained a percentage of 77.38% in the “good” category. Each indicator of learning independence accepts a percentage above 70%, which is in the excellent category. Meanwhile, the CTA of male and female students from the four junior high schools obtained 75.28% in the “good” category. Each indicator of CTA also gets a percentage of more than 70%, meaning that each indicator is in a good category.

The need for early comprehension of scientific concepts in elementary school students is crucial. However, studies have indicated that some students lack a fundamental understanding of such concepts, highlighting the importance of effective teaching methods to improve scientific literacy at an early age. Therefore, this study aimed to determine the ability of Project-Based Learning in Science, Technology, Engineering, Art, and Mathematics (STEAM-PjBL) to improve students' scientific literacy, knowledge, and application of foundational scientific principles. A quasi-experimental methodology was employed, involving 22 female and 26 male fourth-grade elementary school students as participants. The study administered a Scientific Literacy Test (SLT) treatment to the students, followed by unpaired and paired t-tests to examine the impact of the STEAM-PjBL model on their scientific literacy skills. The results showed that STEAM-PjBL improved students' scientific literacy skills significantly more than traditional instruction. The experimental group outperformed the control group in the post-test, indicating the effectiveness of STEAM-PjBL. Therefore, the study recommends the adoption of the STEAM-PjBL model by elementary school teachers to improve students' understanding of fundamental scientific concepts.

University students may encounter situations where they perform poorly in a course and contemplate dropping out. This intention to drop out of a course manifests not only in thoughts or ideas but also in a cognitive self-evaluation of their performance and skills, enabling them to reflect on the possibility of dropping out. In this sense, there is a shortage of instruments that evaluate the intention to drop out of a course, so the aim was to develop and validate the Course Dropout Intention Scale (CDIS). Data from two samples (N1 = 198; N2 = 675) were used; the first was for the EFA, and the second was for the CFA, GRM, and SEM. The one-factor model was derived from the EFA and confirmed in the second sample, exhibiting appropriate goodness-of-fit indices. Similarly, the GRM obtained adequate fit indices; all items discriminated adequately, and the difficulty parameter had a monotonic increase. The SEM model of the effect of satisfaction with studies on the CDIS showed a negative and statistically significant effect. Thus, it was demonstrated that the CDIS is a robust instrument in its psychometric properties and empirical evidence with other variables.