The purpose of this qualitative research is to analyze the reflective thinking process of prospective elementary teacher in numeracy problems in terms of their mathematical disposition. The subjects in this study were 26 prospective elementary school teachers who had attended elementary mathematics lectures. The focus in this research is the process of mathematical reflective thinking in solving story problems of a two-variable linear equation system in terms of the level of mathematical disposition. The research instrument consisted of a disposition questionnaire, a reflective thinking ability test and the researcher himself as the main instrument. Good mathematical reflective thinking skills are supported by disposition, by constantly monitoring one's own performance, reflecting on one's own performance, reasoning on one's own performance, considering the overall situation, the habit of analyzing the relationship between variables, being flexible in various alternative solutions to mathematical problems and trying to solve mathematical problems. From the results of this study, lecturers can develop learning media, scaffolding, or teaching materials that accommodate different dispositional abilities of prospective teachers that can be used to improve the reflective thinking process.

This work describes the design and validation of a questionnaire to assess the expectations of higher education professors regarding virtual education (CEDVES). The sample included 546 professors, 299 men (54.66%) and 247 women (45.23%), from different scientific disciplines of a university in Chile. The final version consisted of 38 items answered using a five-point Likert scale. Nine factors were identified from the exploratory factor analysis. This configuration accounts for 75% of the variance. The structure of the instrument was studied using confirmatory factor analysis. It was found that nine factors produced a good fit, derived from a hierarchical solution in which all these factors depend on a factor of second general order. Each of the scales, like the general factor, present good indicators of reliability. The analysis indicates that this questionnaire has adequate validation and could be broadly used in higher education.

There are different strategies to analyze teacher and student performance when they interact with each other in class. The most used strategies are direct observation and verbal reports. Even though what is observed or reported depends on theoretical frameworks regarding didactic interactions, these must be related to teacher functions such as supervision, providing feedback, and evaluation of student performance. In this study, instruments for observational recording and verbal reports were developed and validated considering teacher functions and their student performance counterparts to compare the degree of correspondence or divergence between data gathered from both strategies. 135 students enrolled in a science class and their teachers participated. The class was taught in a public high school located in center/south Mexico. Classes were videotaped and the corresponding observational records were analyzed. Two months later, verbal reports were administered to students and teachers. Coincidences and differences that were found revealed that observer-observe interaction is conditioned by social norms. These results were interpreted considering the notion of silence as a communicative element.

Currently, physics education is a science that is still considered abstract by many students and the public. Thus, there is a need for information on the current trends in physics education to adapt to the current situation. Based on the Scopus, the research objective is to explore the ongoing trends in the last ten years and during the COVID-19 pandemic. This research is a bibliometric and bibliometric analysis. The findings show that research related to physics education is dominated by the most developed during the COVID-19 pandemic (2020 – 2021) countries Indonesia. Meanwhile, the Journal of Physics Conference Series is the journal that publishes the most publications (Scopus) related to physics education, followed by the AIP Conference Proceeding. Research implication to research, librarian, and policy maker (1) Research and development need to be carried out in-depth related to the growing trend of physics education so that it can be published in Scopus. (2) Cooperation and collaboration between other universities to increase publications at the international level. (3) The need for continuous research to follow current trends.

The study discussed in this paper is a systematic literature review related to the role of dual language programme (DLP) in mathematics education which has been published within the last 5 years. This study was conducted to identify the distribution of DLP studies in terms of year of publication, the study context covered in previous studies, the context of study areas used, focus and trends of past studies, research methods used in previous studies and the role of language in school mathematics education. This review study followed the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) to analyze articles from Scopus and Web of Science. The findings of the study indicate that research trends in the implementation of the DLP on mathematics education for secondary school students showed an increase from 2017 to 2019. Most DLP-related articles are widely developed in the United States and Germany. The findings indicate that previous studies are more interested in studying the implementation of DLP in rural areas. Past studies have also preferred to use the design of either a qualitative study or a quantitative study to be implemented. Questionnaires, tests and interviews are among the research instruments that are often used for a study.

The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first evidence on the structural validity of the Meta-Text, by analyzing its dimensionality and reliability in a sample of 655 Honduran university students. Different models were tested, via item confirmatory factor analysis. The results indicated that the specific factors of planning and monitoring do not hold empirically. The bifactor model containing the general cognition regulation factor and the judgment-specific factor was evaluated as the best model (CFI = .992; NFI = .963; TLI = .991; RMSEA = .021). The reliability of the factors in this model proved to be acceptable (Ω = .701 & .699). The judgment items were well loaded only by the judgment factor, suggesting that the judgment construct may actually be another component of the metacognitive knowledge dimension but having little role in cognition regulation. The results show initial evidence on the structural validity of the Meta-Text and give rise to information previously unidentified by the field which has conceptual implications for theorizing metacognitive components.

This study aimed to analyze the effect of game-based learning (GBL) through the use of Genially in English as a foreign language (EFL) online instruction. The participants were 61 EFL undergraduate students, who were distributed into an experimental group (32 students), and a control group (29 students). Their ages ranged from 22 to 56 years old, and their English proficiency level was B1, according to the Common European Framework of References (CEFR). The students were enrolled in two pre-intermediate courses that are part of an EFL Teaching program at a private university in southern Ecuador. The courses were delivered in an online remote learning environment due to the COVID-19 pandemic. The study followed a quasi-experimental approach and it took place over a sixteen-week period. The instruments included a diagnostic survey, a pre-test, a post-test, a students’ perceptions survey, and a semi-structured interview. The main findings revealed that Genially games have the potential to enhance EFL learners’ academic performance in online instruction, particularly in aspects related to students’ knowledge of grammar and vocabulary in context. Besides, it was found that according to students’ perceptions, the implementation of games based on their real learning needs increases their motivation, especially when feedback is effectively provided.  

This study aims to evaluate the English language teacher training program which was put into practice in 2006, according to the views of lecturers and English teachers. This study aims to contribute to the studies on foreign language teaching by presenting an evaluation of teacher education, which is an important dimension of English as a foreign language teaching. The qualitative method was used in the study, which was designed in a descriptive survey model. The population of the research consists of 35 lecturers working at the English Language Teaching Department of different Education Faculties in the 2016-2017 academic year and 11 English teachers working in public schools affiliated with the Ministry of National Education and who have not completed 5 years in the profession. NVIVO-11 program was used in the analysis of the data. The results of the study were compared with the 2018 English teacher education program renewed by the Council of Higher Education. English teachers and lecturers think that the content knowledge, pedagogical content knowledge, and general culture courses in the teacher training program are insufficient. According to English teachers and lecturers the content knowledge, pedagogical content knowledge, and general culture courses in the English language teacher education program are insufficient. Furthermore, English teachers stated that they could not apply what they learned during their training to real-life conditions. Therefore, they propose that the English language teacher training program should be revised considering the current conditions.

This study aims to investigate the relationship between the science learning skills of primary school teacher candidates and various variables. A correlational survey design was used in the study as a research methodology. With the correlational survey design, the relationships between the science learning skills of the primary school teacher candidates and some variables were examined and their effectiveness in predicting their science learning skills was determined. This study was conducted on 160 teacher candidates in the spring term of the 2019-2020 academic year. As a result of the study, a high level of correlation was found between the science learning skills of the primary school teacher candidates and their self-efficacy belief in science education. In addition, it was found that 38% of science learning skills were explained by attitudes and beliefs. In other words, it was seen that the affective characteristics of pre-service teachers about science significantly affected their science learning skills. In the light of these results, it is recommended to carry out studies in the education process to develop the necessary skills before considering the cognitive competencies of primary school teachers about science. They should also develop positive feelings towards science and gain the understanding that science is not a field of memorization, but a fun field necessary to make sense of the world.  

Online game addiction and psychological distress are two continuously developing problems in the Philippines, with Filipinos aged 18 to 24 being the second largest age group to overuse interactive online-related games. This sequential explanatory mixed method study aimed to assess the young adults’ gaming addiction and perceived psychological distress during the COVID-19 pandemic and identify the other factors contributing to the respondents’ frequent engagement in online interactive games, which served as a basis for a preventive intervention program. The researcher administered the survey questionnaires of the Gaming Addiction Scale and Depression Anxiety Stress Scale-21 to 399 young adults aged 18–24 and a semi-structured interview guide to 20 addicted and non-addicted gamers. Key results showed that a small percentage of the respondents experienced polythetic and serious monothetic addiction to interactive online games. In contrast, half of the respondents manifested mild to moderate symptoms of depression and anxiety during the COVID-19 pandemic. Major findings also found no significant gender differences in the level of online game addiction and psychological distress during the COVID-19 pandemic, and a moderate level of relationship substantiated the association. Further results revealed that the negative compensatory factors were associated with addicted gamers’ frequent engagement with online games, whereas non-addicted gamers were associated with positive, beneficial factors. This phenomenon has hardly ever been the focus of in-depth research, and the results of this study can be used to further refine the conceptualization of “internet gaming disorder” as a mental disorder and develop a more comprehensive treatment method.

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.

The purpose of this study was to compile and statistically analyze the results of research studies that examined students' problem-solving skills in worksheets. The research method used was a meta-analysis. The study search was conducted from 2013 to 2022 in Google Scholar and the Garuda portal databases. The search yielded 40 studies that met the inclusion criteria for extraction from research and development, experimental, and quasi-experimental. From the extracted results, 45 comparisons of data were examined. Microsoft Excel was used to calculate the effect size of the problem-solving worksheet. This study yielded a value of 1.281 for the entire study, indicating that the worksheet had a significant and positive impact on students' problem-solving skills. The results indicate the need to develop worksheets to improve students' problem-solving skills.

This study uses structural equation modeling (SEM) analysis techniques, with the aim of testing the structural effect of family support, entrepreneurial training, on entrepreneurial intentions, with self-efficacy and student achievement motivation as mediators. A total of 203 students participated in this study, through a questionnaire distributed online. The SEM analysis was performed using the Amos 24 App. The results showed that the family environment and entrepreneurship training had a direct and indirect effect on entrepreneurial intentions through self-efficacy and student achievement motivation. The model proposed and tested in this study can be a constructive guide for related parties in an effort to promote students' entrepreneurial intentions.

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 research analyzes the effects of restricting face-to-face classes during the lockdown and students' preparation for face-to-face instruction. During the academic year 2021-2022 break, it was conducted at Nueva Ecija University of Science and Technology (NEUST)-Gabaldon Campus's College of Education. This study employed a descriptive correlational and descriptive comparative research design. The 151 education students who participated in this study were chosen using a stratified sampling method. According to the study, students received satisfactory to very satisfactory grades during the lockdown. The study also showed that after the lockdown and after the Commission on Higher Education recommended face-to-face classes, the majority of respondents agree that they are academically, socio-emotionally, and physically prepared to go through a face-to-face mode of learning. The majority of them prefer face-to-face classes to any other form of distance learning. The general weighted average of a student is a predictor of academic readiness in face-to-face classes. In addition, students' general weighted averages have direct link to their socio-emotional readiness. Students' profiles, on the other hand, have no impact on their physical readiness. There is no significant difference in student preparation in face-to-face classes when students are grouped by gender, year and section, and civil status. There is no association between the student profile and their preferred mode of learning. The theoretical and practical ramifications of the research were also addressed.

This study focused on the development of teaching aids for the topic of Isometric Transformations for Form 2 students in Malaysia. The first objective was to determine the usability of teaching aids in the isometric transformations kit integrates game-based learning (GBL) Method (KitTI Method) and the second objective was to examine the effectiveness of using the KitTI Method on students’ achievement and motivation. This study was directed by the Design and Development Research (DDR) model with survey and quasi-experimental designs. The sample selection was conducted by cluster sampling involving Form 2 students from schools in the district of Muallim and Batang Padang in the state of Perak. The instruments used were KitTI Method Teaching Aids Usability Questionnaire (KMTAUQ), Isometric Transformations Topic Achievement Test (ITTAT), and KitTI Method Motivation Questionnaire (KMMQ). The findings showed that the mean score of KitTI Method‘s usability was high, the treatment group obtained significantly higher improvement in achievement compared to the control group while the mean scores of pre-test achievement as a covariate and students’ motivation in learning Isometric Transformations were high. Therefore, the KitTI Method is suitable to be implemented as a guide for mathematics teachers in designing dynamic teaching and learning and is able to improve students’ achievement and motivation.

This study examines how visual thinking may affect Jordanian female ninth-graders reading abilities. The design had an experimental feel about it. The study included 66 ninth-grade female students who were studying English as a foreign language (EFL). An instructional program was created and put into place, and a pre-post reading exam was created to help the study reach its objective. The results were examined using SPSS. The findings show that there are statistically significant changes in the steps of the visual thinking strategy (VTS) modality between the two groups, with the experimental group benefiting more. VTS has been proven to be a successful strategy for greatly enhancing student attainment of good marks and having an impact on student achievement of course learning outcomes. This study triggered the following reading sub-skills: vocabulary acquisition, imaging, building and activating schema, identifying the main idea and details, questioning, inferring, communicating through oral language, and comprehension. VTS has a real impact on teaching reading sub-skills, which is important for both teachers and curriculum designers. Longitudinal research data is required to further analyze and refine this teaching strategy.

This study investigated college students’ career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students’ professional identity scale, career maturity scale, and academic achievement scale. After experts’ revision and confirmatory analysis, the 3 scales had sufficient reliability, validity, and fit. The researchers distributed electronic questionnaires to students in 4 universities in Jilin Province, China, and participants responded using 5-point Likert-type scales. The researchers collected 1,104 valid questionnaires. According to the analysis, college students’ professional identity is a positive predictor of their academic achievement, and career maturity partially mediates the influence of professional identity on academic achievement. Therefore, improving Chinese college students’ professional identity may improve their academic achievement, and professional identity can have a positive effect on academic achievement through career maturity. University administrators and teachers should enhance the career maturity of college students and promote their professional development.