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.  

The purpose of the study was to identify the - interventions that can be adopted for teaching chemistry disciplines to the graduates majoring in Pharmacy (Mpharm) in Ukraine. The study employed a systematic review methodology and a qualitative approach to synthesising the sources. The triangular assessment method was used to rate the short-listed instructional interventions for feasibility, transferability, and duplicability in the settings of teaching chemistry disciplines to pharmacy graduates in Ukraine. The review found seven eligible publications for the analysis. It was identified that the shortlisted instructional models were technology-mediated and positively affected students’ skills and occupational knowledge. Three out of seven instructional models used chatbots and AI to automate the process of management of students learning activity which suggested that automation of the process of educational content delivery was becoming an emerging trend in instructional design. Having performed the triangular assessment method (TAM) analysis, three instructional models were given preference in terms of their use in medical education settings in Ukraine. These models were as follows: a) PhET simulations-based model, b) the model based on automated delivery of the course using the Smart Sender platform and c) the model based on automation of the Moodle-driven e-course using Dialogflow chatbot.

The purpose of this study was to establish the factor structure and dimensionality of the Metacognitive Orientation Learning Environment Scale – Science (MOLES-S) in the Thai context. The metacognitive orientation of a science classroom learning environment is defined as the extent to which psychosocial conditions that are known to enhance students’ metacognition are evident in a specific science classroom. This study builds on earlier work in the research areas of science education, metacognition, and learning environments. A sample of 5418 Thai science students in grades 10 to 12, from 40 schools across Thailand, completed the MOLES-S that had been translated into Thai. Exploratory factor analysis was undertaken and Rasch analysis was used to calibrate the scale and explore its dimensionality. The results suggest that the MOLES-S(T), where (T) represents Thailand, has the same factor structure as the original MOLES-S, is reliable, and can be used with confidence in research into metacognition in Thai high school science classrooms.

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.  

Gamification in education refers to the application of game design elements and game principles in teaching with the goal of increasing students’ motivation and engagement, which contributes to more successful achievement of learning outcomes. Gamification can be used in education at different levels, from primary and secondary schools to universities and adult education. An analysis of the literature on the use of gamification in education has shown that it is more common in university education and less common in primary and secondary schools. Nonetheless, experience shows that games and numerous digital tools are successfully used in schools for the purpose of gamification, although this is generally not supported by the relevant research published in the papers. The research presented in this paper represents a systematic review of the literature on relevant research on the use of gamification in primary and secondary schools to explore the field and make recommendations for future research. The conclusion is that research on gamification should continue to suggest appropriate pedagogical and technological frameworks which would facilitate the use of gamification in schools by teachers.

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.

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.

Interdisciplinary teaching and learning is an approach that synthesizes the curricular objectives and methods of two or more disciplines or subjects focusing on a specific topic or issue. While it is being increasingly implemented in universities, at lower levels of education there are still countries where science subjects are taught and learned fragmentarily. To assess the significance of the interdisciplinary approach in primary school biology teaching, the paper aims at an experimental verification of the effectiveness of this method in relation to the quality and retention of student knowledge, compared to the monodisciplinary approach to teaching and learning biology. The paper also describes a scenario for teaching a topic in which biological and geographical contents correlate. The study applied a pedagogical experiment with parallel groups. In total, 180 students attending two primary schools in the city of Novi Sad participated in the experiment and were divided into an experimental and a control group. The findings suggest that the interdisciplinary approach improved the quality and retention of student knowledge. The experimental group was more successful in completing tasks that required comprehension and practical application of knowledge. The study thus emphasizes the need for a professional curriculum development that would enhance the interdisciplinary correlation of various disciplines.

This study aims to develop a schoolpreneur model appropriate for Malaysia's secondary school environment. The current study surveyed students participating in the Program Tunas Commerce (PROTUNe) and the Young Entrepreneurs Association (PUM) in the states of Perak, Selangor, and Negeri Sembilan to accomplish these purposes. A survey-based technique was used to collect data, and 400 students participated. With a cross-sectional research design, this research uses a quantitative research methodology. This research employed exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) for statistical analysis. The study's findings show that six highlighted factors can be incorporated to develop a schoolpreneur model. These factors all significantly affect the schoolpreneur model. A significant correlation of the schoolpreneur model of more than 60% indicates the significance of talent skills, mentors, incubators, individual personality, role models, and family background in the development of the schoolpreneur model. As a result, secondary schools can conduct entrepreneurial activities better due to the development of the schoolpreneur model.

This research aims to prove and find out the influence of local wisdom-based learning media on the character of students in Indonesia. This research uses a quantitative method with a meta-analysis approach. The research data were analyzed using the 0.8.5 version of JASP software. The eligibility criteria used include: (a) The publications must be searchable in search databases such as Google Scholar, ERIC, DOAJ, Research Gate, and or ScienceDirect; (b) The publications are reputable indexed; (c) The publications must relate to learning media based on local wisdom and student character; (d) The publications must be in the range of 2015 to 2023; (e) The articles are worth (r), (t), or (F); (6) N ≥ 30. The results of the analysis of 30 studies showed that there was a significant effect of learning media on the character of students in Indonesia (z = 9.700; p < .001; 95% CI [.987; 1.487]). This effect is categorized as very strong (rRE = 1.237). This meta-analysis study is the result of accurate, valid, and representative research reviewed because publication bias was not detected. Thus, it can be concluded that learning media based on local wisdom has a big influence on student character.  

Education for sustainable development (ESD) refers to education on the values and behaviors necessary for a sustainable future and society where everyone receives high-quality benefits. In the era of the fourth industrial revolution, convergence thinking is emphasized as a method of ESD. Therefore, this study aims to derive a model for developing open convergence subjects for ESD. The idea for this model was derived by combining the process of establishing a Convergence Department at Rey Juan Carlos University in Spain and the unit activities of Kyoto University in Japan. The challenges of failing to achieve the original goal and purpose of convergence due to emphasizing specific majors were solved by defining requirements for the model. Convergence subjects that meet the requirements are developed by following the order of the proposed model. In the future, a convergence subject pilot model will be applied using the proposed model to present and operate a course development process called “technology and future are seen through the window of currency”.

The implementation of learning activities in schools has not provided opportunities or encouragement for students in developing their procedural knowledge. This research aimed to test the effectiveness of developing Bloom’s Taxonomy revision-oriented learning activities to grade IV elementary learners’ procedural knowledge capabilities and learning outcomes. This research used quasi-experiment with a quasi-experimental design which consisted of a posttest-only control design. The population of this study was sixth-grade students of 9 schools with an overall number of 229 students. The sample in the study was 50 students, there were 26 students from the experimental class and 24 students from the control class. A test method with 10 question items was used as a data collection method. The data analysis methods and techniques used were quantitative descriptive analysis and inferential statistical analysis. Then the data were analyzed using the MANOVA test assisted by the IBM SPSS Statistics 21.0 program. The hypothesis test results showed a significance value of .000 (Sig<.05). It can be concluded in procedural capabilities and learning outcomes between groups of students there is a significant difference from following learning by implementing Bloom's Taxonomy Revision oriented learning activities with the experimental and control group.

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 purposes of this research are (a) to make an instrument to measure the achievement of project-based digitalpreneurship learning in students; (b) to describe the quality of the project-based digitalpreneurship learning achievement assessment instrument for vocational high school students; (c) to measure the competence and skills. This study employed to research and development as its methodology, using a combination procedure between Oriondo and Antonio and, Mardapi. The development procedure includes three stages: instrument design, instrument testing, and measurement. A total of 795 students who participated in the study at 5 vocational high schools in Yogyakarta's special region served as responders. Data analysis in this development uses the content validity of the formula Aiken V Index, confirmatory factor analysis establishes the construct's validity, and construct reliability. Measurement instrument development. Research findings that (a) the instrument is ready to be used in the measurement; (b) the quality of the project-based digitalpreneruship learning achievement assessment instrument for vocational high school students is well tested. This is evidenced by the validity test which has a high score >.8; The proof of construct validity in this study using CFA > .5; GOF chi-square value with a critical value of df = 289, X2 = 323, p-value with a critical value of .079, RMSEA with a critical value of RMSEA .019 (≤ .08), SMRM with a critical value of SRMR 0.030 (≤ .05), CFI with a critical value of CFI .990 (> .97), and an NFI with a critical value of NFI .989 ( > .90); (c) the measurement results are identified in the process that needs to be improved again regarding the digitalpreneurship skills of vocational high school students.

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.