Teacher professional development (TPD) is an important component of enhancing student learning and school education quality. Vietnamese Ministry of Education and Training is reforming education, including curricula, teaching methods, and textbooks. Many requirements have to been done to effectively implement the reform, and TPD is considered a significant contribution. Using data from an in-depth interview with the principal, teacher questionnaires, and school policy-related documents, this qualitative case-study research in a selected high school for gifted students in Central Vietnam aimed to find out how TPD had been implemented in response to education reforms in Vietnamese high schools. TPD was widely perceived and respected by the principal and teachers in this case study, and these positive perspectives were transferred into practice with numerous effectively employed TPD strategies at this high school for students’ enhanced learning and achievements.

Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of effective research methods in the studies. Driven by the Realistic Mathematics Education (RME) theory and empirical evidence on metacognition and modeling competency, this research aimed at exploring the interrelationships between metacognition and mathematical modeling and academic year level as a moderator via the SEM approach. This study involved 538 students as participants. From this sample, 133 students (24.7%) were from the first academic year, 223 (41.4%) were from the second and 182 (33.8%) were from the third. A correlational research design was employed to answer the research question. Cluster random sampling was used to gather the sample. We employed structural equation modeling (SEM) to test the hypothesized moderation employing IBM SPSS Amos version 18. Our findings confirmed the direct correlation between metacognition and mathematical modeling was statistically significant. Academic year level as a partial moderator significantly moderates the interrelationships between the metacognitive strategies and mathematical modeling competency. The effect of metacognition on mathematical modeling competency was more pronounced in the year two group compared to the year one and three groups.

Students are aware of the use of technology in the learning process, and they are generally referred to as digital natives. However, there are challenges associated with the availability of internet access as a learning process to both university students and teachers inside and outside the classroom. One of such challenges is students’ ability to access unrelated activities which is known as cyberslacking. In the education sector, this process refers to the use of technology for unrelated academic activities. Studies associated with this activity are significantly conducted in western countries, but it is still limited to the Indonesia education environment. Therefore, this research aims to investigate the cyberslacking behavior of students in Indonesia and its relationship to their academic performances. It also determines the relationship between media multi-tasking efficacy and self-regulated learning. The results showed that there is a significant influence between media multi-tasking efficacy and self-regulated learning with cyberslacking. Furthermore, there is a negative influence between cyberslacking and the academic performance of students in Indonesia. This research adds references to studies on cyberslacking in the scope of education and provides input for universities to develop the management of information and communication technology used in the learning process.

The purpose of doctoral education is not only to produce a thesis but also to develop graduates who are highly competent in research, publications and the norms and values of being a researcher. Only a handful of studies have examined early-career academics’ perceptions of doing research at the doctoral level. This exploratory qualitative study sought to fill the gap and contribute to understanding of factors contributing to early career academics’ research capability development. Semi-structured interviews were used to explore in-depth the issues concerning research, publication, supervision, and networking among early career academics. The data were collected from 19 early-career academics in the first year of their career, who are attached with different universities and in different disciplines in Malaysia. The findings from the thematic analysis identified that supervision, individual’s participation in scholarly research activities, and institutional formal learning supported the development of the participants’ research capabilities. Although the PhD programme lay emphasis on independent learning, it should be seen as a process that occurs in phases; hence, the research courses offered and support from the supervisor are important to assist the transition to becoming an independent scholar. Based on the findings of the study, it is recommended that universities be more sensitive to the demands and expectations of academic career so that the PhD programmes offered do not merely focus on research but also develop the skills required of future academics at university.

The research delved into the assessment of integrating Learning Management System as an aid in teaching. Data were collected from 26 students at Rizal Technological University-College of Education, Philippines, through pretest-posttest quasi-experimental and normative survey design of research. Data were statistically tested using the frequency, percentage, mean, standard deviation, t-test for dependent and independent samples, and paired t-test. Results of the research indicate that the respondents have optimistic attitudes towards the integration of learning management system in teaching. The respondents performed poorly in the pretest examination but performed very satisfactorily in the posttest examination. Furthermore, the research found out that there is no significant difference between the performances of the experimental group and control group in pretest and posttest, moreover, there is a significant difference between the pretest and posttest scores of the experimental group and the pretest and posttest scores of the control group.

This study aimed to develop a valid and reliable instrument that measures the functional vision of students with low vision. Thus, an assessment tool and performance activities were developed for three vision skill groups (near vision skills, distance vision skills, and visual field) that include functional vision skills. The universe was 1485 students studying in various primary and middle schools (from 2nd to 7th grades) affiliated to the Ministry of National Education, and simple random sampling was used to select 310 students. The data were collected using the Gazi Functional Vision Assessment Instrument developed by the researchers. Many-facet Rasch model and generalizability theory were used for the rater reliability of the measurements obtained from the instrument, while discriminant analysis was used for the validity of the measurements. The analysis showed that the measurements were reliable, and the inferences based on these measurements were valid. Thus, this instrument can be used to identify and assess the functional vision status of students with low vision.

In contemporary school systems, the concept of a teacher is defined as a socially and emotionally intelligent, pedagogically, and psychologically competent school leader. This would mean that not only the teacher's subject knowledge is sufficient, but also good knowledge of general pedagogical-psychological skills, knowledge, and management of the didactic approach, etc. Social and emotional skills/intelligence (SEI) restore the value of teachers as creators of learning and connect education to the larger social world in which SEI plays the most important role. This paper highlights the importance of social and Emotional Intelligence (SEI) in teacher education, examining the current state of research and the most important role of SEI in students' personal, social, and academic achievement, as well as teacher effectiveness and personal growth. By presenting the scientific evidence of SEI in teaching and teacher education, this study assesses the SEI level of student teachers at the University of Primorska, Faculty of Education, Slovenia. SEI is examined, through its main components: Self-awareness, Self-management, Social Awareness and Social Skills. In conclusion, this paper aims to show the need to develop SEI in future teacher education in Slovenia.

Speaking skills have always been regarded as the most difficult skill out of the four skills that learners should master in language learning. The importance of learning speaking skills has also been highlighted by many researchers in recent years. With the use of technology in this modern era, learners can learn speaking skills through various resources. Therefore, there is a need to identify the learning strategies used by learners for speaking skills in the new learning environment. In this review, the most frequently used strategies in language learning for speaking skills has been examined. The articles reviewed were from 2017 until 2021 across two databases, ERIC and Google Scholar. The PRISMA 2020 methodology is used in the review. From the review, it was found that meta-cognitive and cognitive strategies were most frequently used for learning speaking skills, followed by compensation and social strategies. The least used strategies by learners were memory and affective strategies. The findings help teachers to look for the most suitable teaching method in the current learning environment. For future research, an extensive review of the use of learning strategies for other learning skills could be carried out.

Within the context of Self-Regulated Learning (SRL), a process of directing oneself to facilitate individual learning more effectively, the SRL instrument development is deemed necessary to measure students’ self-reliance in learning mathematics in the science, technology, engineering, and mathematics (STEM) framework. The research aims to develop and test the validity and reliability of an SRL instrument, namely a 14-item SRL questionnaire accommodating four aspects, namely planning, self-monitoring, self-controlling, and evaluation. The study involved 420 junior high school students in East Java, Central Java, and Yogyakarta Special Region. The results show that the questionnaire was developed as planned and that planning, monitoring, controlling, and evaluating aspects can reflect the SRL variable in a valid, reliable, and significant way supported by each aspect's behavior indicator. The SRL variable theoretical model corresponds (good fit) with the empirical data, and all of the items are likely valid and reliable to assess student's mathematics SRL in the STEM framework. The SRL questionnaire was also found suitable for use by teachers to measure junior high school students’ self-reliance in SRL.

This research presents an analysis of the value given to the game as an educational resource on social networks. The purpose of this study is to analyze the discourse on Twitter of the different educational agents (teachers and other educational professionals) to know the value given to the use of this tool and how the social network is an educational form of communication and interaction. From a qualitative methodology, a descriptive-interpretative study of the information on didactic/play strategies present in social networks is approached. The analysis is performed by the Nvivo12 software through matrices and content analysis. The results show that the game is mentioned within the speech on Twitter where it is alluded to its importance, value, application, etc. From an educational perspective, working in the classroom with the use of social networks provides some significant advantages; these networks offer interactive and effective teaching and learning tools. In addition, the integration of tools and applications. It is concluded that Twitter is an educational and formative way and where the value attributed to the game as a didactic resource is significant.

The academic buoyancy scale (ABS) is one of the most widely used instruments for measuring academic buoyancy. To obtain meaningful and valid comparisons across groups using ABS, however, measurement invariance should be ascertained a priori. To that end, we examined its measurement invariance, validity evidence based on relations to other variables, and score reliability using categorical omega across culture and gender among Egyptian and Omani undergraduates. Participants were 345 college students: Egyptian sample (N=191) and Omani sample (N=154). To assess measurement invariance across culture and gender, multiple–group confirmatory factor analysis was performed with four successive invariance models: (a) configural, (b) metric, (c) scalar, and (d) residual. Results revealed that the unidimensional baseline model had adequate fit to the data in the full sample. Moreover, measurement invariance was found to hold across culture but not across gender and consequently the ABS could be used to yield valid cross-cultural comparisons between the Egyptian and Omani students. Conversely, it cannot be used to yield valid inferences related to comparing gender groups within each culture. Validity evidence based on relations to other variables was supported by the significantly moderate correlation between ABS and academic achievement (GPA; r =.435 and r = .457, P < .01) for the Egyptian and Omani samples, respectively. With regard to score reliability, categorical omega coefficients were moderate across both samples. Educational and psychological implications, limitations and suggestions for improving the scale are discussed.

Metacognition inventory supports increased awareness and self-control to improve student’s academic success, including physics. However, there are limitations to revealing the Physics Metacognition Inventory (PMI), especially in Indonesia. This study aims to explore and evaluate the psychometric properties of PMI. This survey research has involved 479 students from three high schools in Indonesia. The psychometric properties of the I-PMI were evaluated using a Confirmatory Factor Analysis and Rasch Model approach. The results show that the Indonesian Physics Metacognition Inventory (I-PMI) is collected in 6 constructs from 26 items. The validity, reliability, and compatibility tests have also been analyzed with good results. The five rating scales used have adequate functionality. This research has also presented more comprehensive information about the Physics Metacognition Inventory in the context of Indonesian culture. This study has implications for using I-PMI to assess students’ metacognition at the high school level in Indonesia and recommendations for future research.

This study aims to develop a mathematics learning application, namely Android-based mobile learning to increase students' High Order Thinking Skills (HOTs). The result of mathematics learning media is a valid and practical mobile learning application product. "Mastering Math" is the name of a mathematics e-learning application designed as a mobile or smartphone application, with specifications for the OS Android. The procedure for the development of virtual mathematical media used the development of the 4D model of Thiagarajan: (1) define; (2) design; (3) develop, and (4) disseminate. The trials conducted included five expert judgments and a small group. The research instruments used were a validation sheet, a practical assessment sheet by the teacher, a practical assessment sheet by students, and a media effectiveness test instrument. Data analysis was performed using Cochran's Q test for similarity of expert validation and qualitative analysis. The teaching materials used are junior high school teaching materials with validity and practicality in the good category to increase students' HOTs. This research implies that the learning of mathematics is more effective and efficient, students' divergent thinking develops, and their learning motivation for mathematics increases.

The performance in biology at the secondary level has not been as good as expected. This has been a matter of concern. Thus, there has been a continuous focus on exploring newer innovative learner-centered and friendly instructional strategies to enhance understanding and retention in biology. This study, therefore, determined the effects of Concept Mapping (CM) and Cooperative Mastery Learning (CML) on fostering retention in photosynthesis among secondary schools in Nyamagabe district, Rwanda. A pre-test and post-test non-equivalent control group quasi-experimental design was used. Data were obtained from 151 students taught with CM, 144 students taught with CML, and 154 students taught with Conventional Teaching Methods (CTM). The Photosynthesis Retention Test (KR-21= 0.82) was used for data collection. The data were mainly analyze d using mean and Analysis of Covariance (ANCOVA). The results showed that the CM and CML treatment groups outperformed the CTM group in retention in photosynthesis. There was a statistically significant difference in favor of the CM between the two experimental groups. The male and female students taught using CM retained equally in photosynthesis while gender difference was revealed in the mean retention scores of the students exposed to the CML, with females retained significantly higher than males. The study concluded that the CM and CML strategies were more effective than CTM. It was suggested, among other things, that teachers should be encouraged to apply CM and CML strategies when teaching biology.

Speaking skills had always been the most challenging skill among the pupils in language learning. The flipped learning approach is an innovative teaching and learning pedagogy that creates better learning experiences in order to improve pupils’ speaking skills. Therefore, this systematic literature review focuses on flipped learning approach in improving pupils’ speaking skills. This analysis is done based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) review methodology. A total of 39 articles related to flipped learning in improving speaking skills published between 2017 to 2020 were identified from Scopus, Google Scholar and ERIC databases. Based on the results, self-regulated learning, interaction, motivation and achievement were the key themes that promotes the benefit of flipped learning to improve pupils’ speaking skills. Hence, this paper is beneficial to policy makers, educators and students in utilizing flipped learning approach to improve pupils’ speaking skills from various levels of education.

Literacy ability is an individual's ability to reason, formulate, solve, and interpret mathematically to solve problems related to daily life. Executive function is a cognitive aspect that has a relation with mathematical literacy. One of some aspects that affects the low mathematical literacy ability is the aspect of executive function. This study aims to investigate the characteristics of mathematical literacy based on the executive function aspects of 15 years old students. A qualitative method with a descriptive approach is employed in this study. The present research applies interview guidelines, questionnaires, and students' mathematical literacy tests as the instruments. Research subjects are junior high school students in grade VIII from two different schools. The result shows that the students' executive function influences mathematical literacy ability. Students' mathematical literacy ability is not fully achieved by fulfilling all the indicators involved. Another aspect found in the research is the low critical thinking ability impacts the achievement of mathematical literacy ability indicators.

Online learning during the Coronavirus disease (COVID-19) pandemic has awakened and affirmed the necessity of learning based on digital technology. The article was aimed to analyze the effectiveness of online learning at bachelor’s, master’s, and doctoral degrees of Islamic Religious Education as a reference to develop a learning pattern post-COVID-19 pandemic. The research employed a mixed-method design with a concurrent triangulation model. The samples were taken using stratified random and purposive sampling. Meanwhile, the data were collected through questionnaires, in-depth interviews, and forum group discussion. A descriptive analysis and one-way analysis of variance were used to analyze the quantitative data, while interpretative descriptive for the qualitative data. The research showed that online learning during the COVID-19 pandemic at the bachelor’s, master’s, and doctoral degrees of Islamic Religious Education have been effective. In detail, online learning at the doctoral degree was the most effective among all. On the other hand, face-to-face learning is still necessary. Therefore, the learning pattern developed post-COVID-19 pandemic combines face-to-face and online learning (hybrid learning). The formulation is adjusted to the characteristics, educational purpose and orientation, level of ability, readiness, and learning autonomy of the students at each educational level.

The purpose of this paper is to determine the relevance of turning the camera on or off during distance learning as an argument for active or passive student participation. Seventy-five (75) students participated in the study and were divided into five groups (1-5) according to teaching method (i.e., synchronous instruction online with camera (1) and without camera (2), synchronous transmission of the recording online with camera (3) and without camera (4) and received the online instruction (5)) only. In the beginning and at the end, all students were tested with the same adapted test to determine general physical and motor status. All groups had the same training program twice a week for 45 minutes for 7 weeks. The first training of the week was dedicated to strength development, the second to endurance. In the end, all participants completed a questionnaire to determine their additional physical activity and how they felt about using a camera. The camera being turned on was identified as a factor that made participants uncomfortable but contributed significantly to the effectiveness of the course. However, 94.6 % of all participants cited non-camera methods as their favourite.

The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.

Higher education plays an important role in providing students with knowledge and skills to enter the labor market. The quality of higher education, the satisfaction of the quality of higher education has been concerned by many individuals and organizations. The study aims to explore the factors affecting student satisfaction with the quality of higher education services in Vietnam. Research data was collected from survey results by questionnaires from 396 students of An Giang University, Vietnam National University Ho Chi Minh City, Vietnam. SPSS 20, AMOS 24 software is used for analysis and evaluation of scales through Cronbach's Alpha reliability coefficient; exploratory factor analysis EFA; CFA confirmatory factor; SEM linear regression analysis to test the hypotheses. The results of the SEM model study show that there are six factors affecting student satisfaction with the quality of higher education services in Vietnam, including teaching staff; facilities and teaching facilities; ability to serve; educational activities; student support activities; education programs. From the research results, discussions on educational administration are proposed to improve student satisfaction with the quality of higher education services in Vietnam.