Critical thinking skills are one of the thinking skills needed to live in the 21st century and the era of the Industrial Revolution 4.0. This study aims to develop a Virtual Classroom Critical Thinking (VC2T) Model, which is valid, practical, and effective to improve students' critical thinking skills. VC2T model has six steps: problem orientation, formulation, group discussion, analysis, result discussion, and reflection. This study is a Research & Development (R & D) involving 33 high school students in Surabaya, Indonesia. Before being tested, the VC2T Model was designed based on the theory of Plomp and Nieveen and then validated by 3 (three) experts in physics education. Data were analyzed using validity by experts, implementation of teaching with the VC2T Model, paired t-test, calculation of n-gain, effect size and percentage of student responses. The results showed that the VC2T Model is: (1) valid with an average validity score of 4.14 in the high validity category; (2) practical with an average score of implementations teaching of VC2T Model 4.26 in the outstanding category; and (3) effective as indicated by increasing of students' critical thinking skills scores which are statistically significant at alpha .05, the average n-gain is .38 in the medium category, the effect size of 6.93 is in a strong category and the average students' response is 87.59 % with outstanding category.

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.

The cooperative learning (CL) is an advanced instructional approach that uses different motivational procedures to make instruction significant and learners more responsible. This study aimed to investigate the effects of cooperative learning on students' achievement in chemistry among the advanced level in 12-year basic education schools; it engaged a quasi-experimental design with one treatment group and a comparison group (control); the first applied cooperative learning in teaching organic chemistry while in the control group, organic chemistry was taught by the conventional teaching methods (CTM). A sample of 257 students participated in the study. The data collected used an organic Chemistry Achievement Test, and its data were analyzed using SPSS version 23.0 and MS Excel 2016. The ANCOVA results showed that learners taught using cooperative learning achieved better than their counterparts in the control group (F=78.07, df=1, 256, p<.001) with the learning gains of 16.0% in traditional methods and 53.6% of cooperative learning approach, respectively. However, there was no statistically significant difference in gender of students. It is recommended that chemistry teachers be trained on cooperative learning and encouraged to apply it in their teaching methods to enhance students' academic achievement.

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.

With Coronavirus disease (COVID-19) impacting the way we learn; information and communication technologies (ICTs) play an ever-increasing role in young children’s learning making it crucial to understand the importance and challenges of using ICTs in kindergartens from teachers’ perspectives. The present study, therefore explored the perspectives of teachers in remote areas of Jordan regarding the degree of ICT use, its importance in kindergartens, and potential challenges. To achieve the objective of the study, a quantitative questionnaire was developed and distributed to 263 female kindergarten teachers in remote areas of Jordan. Results indicated that the degree of use and importance of ICTs from teachers’ perspectives was “average”. Further, the study identified several challenges that appeared to hinder teachers’ use of ICTs in kindergartens. Teachers who held a bachelor degree were significantly more likely to employ ICTs in their teaching than those who did not. Yet, there were no significant differences according to the number of training courses in ICTs and experience teachers had. Recommendations and implications for facilitating the use of ICTs in kindergarten education concluded this paper.

Numeracy is one of the essential competencies that the objectives of teaching math to primary students should be towards. However, many research findings show that the problem of “innumeracy” frequently exists at primary schools. That means children still do not feel at home in the world of numbers and operations. Therefore, the paper aims to apply the realistic mathematics education (RME) approach to tackling the problem of innumeracy, in the case of teaching the multiplication of two natural numbers to primary students. We conducted a pedagogical experiment with 46 grade 2 students who have not studied the multiplication yet. The pedagogical experiment lasted in six lessons, included seven activities and nine worksheets which are designed according to fundamental principles of RME by researchers. This is mainly a qualitative study. Based on data obtained from classroom observations and students’ response on worksheets, under the perspective of RME, the article pointed out how mathematization processes took place throughout students' activities, their attitudes towards math learning, and their learning outcomes. The study results found that students were more interested in math learning and understood the concepts of multiplication of two natural numbers.

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.

This study aimed to describe the creative thinking process of students with active learning styles in proposing and solving problems on geometry material. The research instruments were Honey and Mumford's Learning Style Questionnaire (LSQ), problem-solving and submission test sheets, and interview guidelines. The LSQ questionnaire was distributed to students majoring in mathematics education at a university in Malang, Indonesia, with a total of 200 students. Students who have an active learning style and meet the specified criteria will be selected as research subjects. Based on research on creative thinking processes in proposing and solving problems in students with active learning styles, it was found that there were differences in behaviour between subject 1 and subject 2 at each stage of creative thinking. However, based on the researcher's observations of the behaviour of the two subjects at each stage of their thinking, there are similarities in behaviour, namely, they tend to be in a hurry to do something, prefer trial and error, and get ideas based on daily experience.

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.

This study investigated the effectiveness of visual mind mapping as a reading strategy for improving English language learners' critical thinking skills. Students from two general English courses were randomly assigned to experimental and control groups. California Critical Thinking Test was used to assess participants' critical thinking skills. The findings revealed a statistically significant difference at (p < .005) in the mean scores of the experiment and control groups in the post-test due to visual mind mapping strategy in favor of the experimental group with a positive and significant impact on participants' critical thinking skills. The findings also showed that the experimental group’s scores were significantly improved in all indicators of critical thinking. The study results showed that visual mind mapping strategy affected the increased of critical thinking skills and reading comprehension ability. The study's findings revealed that using a visual mind mapping strategy had a significant improvement impact on English language learners critical thinking skills and reading ability.

Coronavirus disease (COVID-19) preventive measures influenced teachers directly. The sudden shift to new teaching environment emerged unknown challenges influencing teachers’ work differently. As self-efficacy is a key factor of successful teaching, the goal of our study was to examine the relationship among teachers’ efficacy-related experiences, work satisfaction and workload during the pandemic. 769 teachers (55 men and 677 female, 32 undefined) completed the online version of the Norwegian Teacher Self-Efficacy Scale and the Relative Self-Efficacy Scale. Findings indicated significant positive correlation between job satisfaction and self-efficacy as well as job satisfaction and the sense of competency. Kruskal-Wallis Test proved higher level of self-efficacy among teachers with more experience in online teaching in the past. According to SEM analysis, job satisfaction is predicted by efficacy beliefs concerning the sense of competence, motivation, coping and conflict resolution. Our findings indicate that experience in online teaching methods can enhance self-efficacy, which contributes to higher job satisfaction.

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.

The current study explored the potential effect of using the flipped class strategy in developing grammatical concepts among fifth-grade primary school students in Irbid, Jordan during the academic year 2019/2020. The study followed the quasi-experimental design, which was applied to a sample of 52 female students, who were divided into a control and an experimental group. The control was taught traditionally and the experimental group was taught grammar through using a flipped classroom strategy respectively. The study developed a list of suitable grammatical concepts for the study sample and a test to measure the Arabic grammatical concepts: declension, case marking, case ending, representation in a sentence, and extraction. After performing the appropriate statistical analysis, the results of the study showed the presence of significant differences between the experimental and the control groups in all grammatical concepts in favor of the experimental group. The researcher recommended applying the flipped class strategy in teaching the grammatical concepts for female fifth graders.

This research intended to examine the effect of mindset, democratic parenting, democratic teaching, and school environment on global citizenship among 2,226 ninth-grade students and 80 social studies teachers from 80 classrooms in public schools. The research instruments included a student questionnaire to measure global citizenship, democratic parenting, fixed and growth mindset, and a teacher questionnaire to measure democratic teaching and school environment and to analyze the data based on multilevel structural equation modeling. The significant findings revealed that democratic parenting and school environment positively affected global citizenship, whereas democratic teaching had a negative effect on global citizenship. In addition, the outstanding students with a growth mindset tend to lead to a positive effect and act as a mediating role through global citizenship than those with outstanding fixed mindset clearly. All factors in the model collaboratively explained the variance of global citizenship accounted for 62.8% and 47.5% at student and classroom levels, respectively. Finally, the discussions and suggestions section suggested the recommendations according to the findings of the research.

This paper investigates the quantitative literacy and reasoning (QLR) of freshmen students pursuing a Science, Technology, Engineering, and Mathematics (STEM)–related degree but do not necessarily have a Senior High School (SHS) STEM background. QLR is described as a multi-faceted skill focused on the application of Mathematics and Statistics rather than just a mere mastery of the content domains of these fields. This article compares the QLR performance between STEM and non-STEM SHS graduates. Further, this quantitative-correlational study involves 255 freshman students, of which 115 have non-STEM academic background from the SHS. Results reveal that students with a SHS STEM background had significantly higher QLR performance. Nevertheless, this difference does not cloud the fact that their overall QLR performance marks the lowest when compared to results of similar studies. This paper also shows whether achievement in SHS courses such as General Mathematics, and Statistics and Probability are significant predictors of QLR. Multivariate regression analysis discloses that achievement in the latter significantly relates to QLR. However, the low coefficient of determination (10.30%) suggests that achievement in these courses alone does not account to the students’ QLR. As supported by a deeper investigation of the students’ answers, it is concluded that QLR indeed involves complex processes and is more than just being proficient in Mathematics and Statistics.

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 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.