This research aimed to analyze the levels of agreement between kindergarten teachers and principals in identifying the assessment of teachers’ teaching competencies and performance. The study was designed under a quantitative approach using a survey. It implemented a non-probability sampling technique with purposive sampling. The sample of the population comprised of 173 kindergarten teachers and 101 principals in Semarang District, Indonesia, or a total of 274 respondents. The data were collected through a questionnaire and analyzed using Cohen’s Kappa coefficient to measure the levels of agreement between raters and Pearson Chi-Square test was also utilized to determine the differences in perceptions among principals and teachers. The findings showed that the levels of agreement between raters were averagely in the no agreement category, implying the existence of differences in perceptions among teachers and principals. The involvement of a multi-rater strategy in such research is a rare effort, especially for the Early Childhood Education (ECE) level in Indonesia. Researches regarding teaching competencies and performance generally only involve single rater, either teachers or principals who judge themselves on their competencies and performance, thus the results tend to be subjective. In conclusion, the assessment of teaching competencies with the relation of cognitive abilities was conducted through a test that considered subjective questions and case analysis to evaluate the teachers’ skills based on their performance and self-description. Both personal and social assessments utilized self-assessment forms or autobiographies, which were completed with specific themes. Meanwhile, the performance assessment was observed with the assessment rubric and comparison with the learning process performed by an individual educator.

The aim of the study is to adapt Preschool Children’s Science Motivation Scale (PCSMS) developed by Oppermann et al. into Turkish and conduct the validity and reliability analyses. This scale is considered important in terms of evaluating the science motivation of preschool children through the science concepts they are familiar with, based on their daily life experiences. The research data were obtained from 303 children attending preschool education in central districts of Adana. The findings of exploratory factor analysis, a two-factor structure named self-confidence and enjoyment consist of 28 items was determined in accordance with the original structure of the scale. Confirmatory factor analysis showed that this two-factor structure showed good fit. Subsequently, the study proceeded to reliability analyses and Cronbach’s α and Composite Reliability values were calculated. In consequence of the study, it was seen that the original form of the scale and the goodness of fit and internal consistency values obtained within the scope of the adaptation form coincided. The findings of the study indicate that the Turkish version of the PCSMS is valid and reliable for Turkish preschoolers.

A large number of articles in the field of science education reflect on scientific literacy as the main goal of science education (SE), although often with varying viewpoints. Nevertheless, researchers have begun to highlight subject-specific teaching practices that are expected to specifically enhance science subject teaching, including biology. The main aim of this theoretical article is to come on consensus and to conceptualise the term biological literacy (BL) more clearly and to present a theoretical concept of BL, composed on the basis of systematically analysed articles. This theoretical concept includes two dimensions of BL: (1) cognitive (cognitive skills, conceptual understanding, biological inquiry) and (2) affective dimension, based on systematic literature review (SLR). This theoretical concept also includes in addition four dimensions of BL: (3) sustainability; (4) interdisciplinarity, (5) career awareness and (6) nature of biology (NOB), based on literature review (LR) of recent decades, that was conducted to write theoretical overview of this research.

The purpose of the study was to examine correlations between perceived teacher innovation (PTI) and self-regulated learning (SRL), where learning motivation, self-efficacy, and learning transfer help illustrate the interplay between and among influencing variables in the teacher-student relationship. This study gathered 213 valid questionnaires out of 355 participants in the Design Thinking for Data Scientists, which is one of the courses taught from a university in Taiwan. This study has analyzed the possible linkage in the Structural Equation Modeling (SEM) through the path coefficient. The ensuing data analysis study has shown that learning motivation, self-efficacy, and learning transfer not only served as the mediator effects in the PTI and SRL but also played small moderating effects. It appears that when learning motivation, self-efficacy, and learning transfer decrease, the interplay between PTI and SRL becomes stronger. It is necessary to increase the level of intrinsic motivation by the perception of greater innovation in teaching materials. By so doing, students would be more receptive and affective of course contents in the classroom and regulate themselves to achieve educational goals. The implications of teachers' perceptions of pedagogical innovation for learning motivation and learning experience are likewise discussed.

Creative thinking skills are 21st century learning needs that can be applied through the Scientific Reading Based Project (SRBP) model. The purpose of this study is to empower creative thinking skills through SRBP models in science learning in elementary school teachers’ education students. This research is mixed research with qualitative and quantitative approaches. Qualitative research is used to explore students' creative thinking abilities. Quantitative research uses a quasi-experimental approach carried out for six months on the candidates of elementary school teachers’ education. Participants in this study were the candidate of elementary school teachers’ education of 75 people who took the Basic Concept of Science subject. Data collection in this study was through observation, documentation, pre-test, and post-test with essay questions to measure creative thinking skills. The final result of the project is the final product to measure creativity. The data analysis used was an ANOVA test to measure every aspect of creative thinking skill. Qualitative analysis was used to describe the learning process and the final project of creativity. The results showed that there was an increase in creative thinking skills from aspects of flexibility, elaboration, fluency and originality. The SRBP model has a positive effect on improving the ability to think creatively.

The Coronavirus disease (COVID-19) pandemic impacted various lines in the international world, including Indonesia. Pandemic COVID-19 in Indonesia has also changed multiple performances in multiple sectors, one of which is education. The concept of learning from home changes lecturers' paradigm as educators in tertiary institutions applying online learning. This study aims to identify students' perceptions of the implementation of online learning during the COVID-19 pandemic. This study uses a qualitative research approach with the type of phenomenology. The subject of this study was 22 students in Indonesia who experienced the impact of the COVID-19 pandemic. This research instrument uses semi-structured interview guidelines. Students perceive online learning during the COVID-19 pandemic as (1) ineffective learning activities; (2) unpleasant learning activities; (3) limit self-actualization in education; (4) helping to become an independent person in learning; and (5) fun learning activities. Higher Education should create innovative and creative online learning strategies. Thus, students have a high enthusiasm for online learning.

Science, technology, engineering and mathematics (STEM) education is regarded as one of the formulas to embracing many of our imminent challenges. STEM education benefits the learners by encouraging interest in STEM disciplines. This daunting task needs everyone’s concerted efforts in creating and innovating mathematics teachers’ classroom practices Therefore, a systematic review was conducted to identify best practices for STEM education following the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) by Moher et al. (2015). The reviewed articles were published from 2016 to 2020 and accessed using the Scopus and Web of Science (WoS) databases. Three themes for best practices were identified namely (a) core competencies encompassing 21st-century teaching skills; (b) instructional designs; and (c) requisite STEM execution. Results of PRISMA determined the dominant STEM practices were critical thinking, communication, collaboration, problem-solving, research-based pedagogy, problem-based learning and project-based learning, technological integration, accessibility, professional development and learning support, evidence of effectiveness, access to materials and practitioner support, and scalability. Mathematics teachers should determine the best STEM practices to employ even though there is a lack of studies on integrated STEM domains. When more students are interested in venturing and exploring into the field of STEM, the high demand for STEM related careers could be met by the younger generation.

The aims of the recent study were; analyzing the effect of creative and online learning using Instagram on the ability to create new products in the technology and learning media course, and determining the level of users’ experience in processing visual media through the Canva application on android. Quantitative approach with this research was carried out through a quasi-experimental research model because it measured the post-test was applied to 58 students as the respondents in two experimental and control classes. This study used two instruments; the cognitive learning outcome questionnaire according to the subject to get the students’ ability to create new products, and the second instrument was taken from ueq-online.org in the Indonesian version to know the users' experience in processing visual media. The data were analyzed using one-way ANOVA, mean and standard deviation assisted by IBM SPSS Statistics 24.0. The results demonstrated that the effect of creative and online learning using Instagram on the ability to create new products in The Technology and Learning Media course was found significant at 0.028 <0.05 which meant it could be applied well. Meanwhile, the level of users' experience in processing the visual media application Canva on Android had the highest score on the Stimulation scale at 1.59, categorized "Very Good" and the lowest score was on the Novelty scale at 0.93, categorized "Above Average". With the strong creative encouragement to create new products, the students were able to process their own visual media which were tailored to the agreed digital visual designs and were published on Instagram.

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.

In recent years, integrating technology into education continues to attract more attention along with the rapid growth of information and communication technology. In the literature, teachers’ technological pedagogical content knowledge (TPACK) plays an essential role in successfully integrating technology into teaching and learning contexts. This study aims to provide a comprehensive view of prior literature and some possible directions for researchers and educators for further TPACK studies. A total of 106 papers were chosen from the Springer database and synthesized. Frequency of annual publications, number of documents with and without TPACK in the title, research methods, number of authors, major contributed countries, most cited papers, and most productive journals in TPACK research were reviewed. The results showed that TPACK has continued to receive attention from researchers in the past decade. Among the reviewed publications, each of the 53 documents included the term TPACK in the title and abstract. To date, qualitative methods were more frequently adopted in TPACK research than quantitative, mixed, and non-empirical methods. Most papers published in TPACK research have two authors. When ranked by country, the US has the highest contribution compared to other countries in this field, followed by Turkey, Australia, Singapore, and Taiwan. The authors with the most cited papers were Min-Hsien Lee and Chin-Chung Tsai with 210 citations. Based on the number of articles published in TPACK, The Asia-Pacific Education Researcher and TechTrends seemed to be the most contributing journal in this field.

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.

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.

This study was conducted to corroborate in understanding the teachers’ beliefs about assessment practices. The prior studies related to teachers’ assessment beliefs in mathematics have been done to assess teachers’ beliefs in the general context of mathematics teaching. This study developed an instrument to assess teachers’ assessment beliefs of mathematical thinking. The research aimed to develop and validate a scale of assessment beliefs of mathematical thinking by using the confirmatory factor analysis. The first draft of the scale contained 25 items. The sample of the study consisted of 537 mathematics teachers from public schools in Oman. The instrument was a questionnaire with a 5-point Likert scale. The scale was validated by asking a number of experts in mathematics educational measurement and evaluation. Exploratory and confirmatory factor analysis was applied to test the model of assessment beliefs of mathematical thinking scale using AMOS 25.0. All constructs had acceptable reliability. The model had a good model fit for the assessment beliefs of mathematical thinking scale which obtainable from the fit indices tests. The findings revealed that all fit criteria indices were realized. The results also showed acceptable validity and construct reliability for the scale.

The school counselor’s role is increasingly challenging with various demands of students’ problems and the issue of Coronavirus disease (COVID-19) pandemic also affect students’ psychosocial and mental well-being. Therefore, school counselors need to equip themselves with high psychological well-being as a self-care factor to deal with burnout, instability, and work stress. This study aims to develop Psychological Well-Being Model among school counsellors. A total of 330 secondary school counsellors from four districts in Selangor were selected as the respondents using the group random sampling method. Data were collected through translated questionnaire instruments, namely Self Compassion Scale, Counselling Self Estimate Inventory, The Assessing Emotions Scale, Spiritual Involvement and Beliefs Scale Revised, and Psychological Well Being-Ryff. Confirmation Factor Analysis (CFA) and Structural Equation Modeling (SEM) show that there is a significant positive relationship between self-compassion, counselling self-efficacy, emotional intelligence, spiritual intelligence, and the school counsellor’s psychological well-being. The findings also showed that self-compassion, counselling self-efficacy, emotional and spiritual intelligence affected 76.5% (R2 = 0.765) of variance in psychological well-being. This study is one of the earliest in presenting the school counsellor’s psychological well-being model who can contribute to Malaysian education. The implications of this study suggest that the elements of self-compassion, counselling self-efficacy, emotional and spiritual intelligence, and psychological well-being should be applied in the curriculum at the counsellor training level in university so that counsellors have adequate preparation in providing effective services in schools. The Ministry of Education Malaysia, on the other hand, needs to cultivate psychological well-being interventions regularly so that counsellors can always manage various students’ issues in schools as well as maintaining psychological well-being in terms of personnel and professionals.

Research on instructional quality has been of great interest for several decades, leading to an immense and diverse body of literature. However, due to different definitions and operationalisations, the picture of what characteristics are important for instructional quality is not entirely clear. Therefore, in this paper, a scoping review was performed to provide an overview of existing evidence of both generic and subject-didactic characteristics with regard to student performance. More precisely, this paper aims to (a) identify both generic and subject-didactic characteristics affecting student performance in mathematics in secondary school, (b) cluster these characteristics into categories to show areas for quality teaching, and (c) analyse and assess the effects of these characteristics on student performance to rate the scientific evidence in the context of the articles considered. The results reveal that teaching characteristics, and not just the instruments for recording the quality of teaching as described in previous research, can be placed on a continuum ranging from generic to subject-didactic. Moreover, on account of the inconsistent definition of subject-didactic characteristics, the category of ‘subject-didactic specifics’ needs further development to establish it as a separate category in empirical research. Finally, this study represents a further step toward understanding the effects of teaching characteristics on student performance by providing an overview of teaching characteristics and their effects and evidence.

This study aims to explore non-English speaking major student’s perceptions of Motivation and Grit and the relationship between these two factors and students’ English language performance at a public university in China. The research was conducted by quantitative research design to collect 624 non-English speaking Major students’ answers to multiple questionnaires at a public university in China. Data analysis is used by SPSS and AMOS. The study shows that Motivation and Grit all have a positive correlation with English language performance. One major conclusion of this study is Grit has the most significant effect on the English language performance of non-English speaking major students in multiple regression analysis and is also the best predictor of the relationship between these two factors and English language performance in the path analysis in Structure Equation Modeling (SEM) analysis. The finding also revealed that male students’ perception of motivation and grit is slightly stronger than that of female students. These findings highlight the need for English as a foreign language (EFL) teacher to understand students’ affective factors in learning English, and hence help them utilize different teaching methods to enhance students’ English learning and promote sustainable development of English learning in a public Chinese university.

In this research, the influence of the Coronavirus disease (COVID-19) pandemic on 9th grade students’ mathematics achievement is analyzed through quantitative and qualitative methods. A posttest only with control group design was used to compare the mathematics marks of 9th grade students from the previous school year (before the pandemic, control group) and the current school year (during the pandemic, experimental group). Seventy-three students from a public high school in Spain attending class on alternate days participated in the study. Three focus group sessions were held with students, and five semi-structured interviews were conducted—two with teachers and three with students’ families. Results show statistically significant differences in students’ mathematics achievement, with students enrolled in 9th grade the previous (pre-pandemic) year outscoring their peers currently enrolled in 9th grade (during the pandemic) by 22.17%. An overall negative effect size of Hedge’s g = -1.11 was reported. Although significant statistical differences between groups were reported for both male and female students, the effect was 42.31% larger for male students (Hedge’s g = -1.11) than for females (Hedge’s g = -0.78). The qualitative information supported the quantitative results. Changes in educational settings, students’ lack of motivation, monotony, and students’ level of responsibility were qualitatively reported as factors that may explain this phenomenon. The main conclusion of this study is that the COVID-19 pandemic may be significantly and negatively affecting 9th grade students’ mathematics achievement.

Regardless of varied lingua-cultural ideologies enriching the theories of communicative competence (CC), the four CC dimensions (e.g., linguistics, sociolinguistics, discourse, and communication strategies (CSs)) still become the main cores of English speaking (ES) classrooms. Of the four dimensions, CSs seem to be the most technical which deserve to be persistently studied. Hence, this study aimed to probe into ES lecturers’ performances of CSs, their efforts to improve students’ CC, and the impacts of their efforts on students’ learning according to students’ perspectives. Two ES lecturers and 10 students at a university in Indonesia were purposively selected to be the participants. They were observed and interviewed according to the study’s purposes. This study uncovered various CSs performed by ES lecturers according to several contexts, such as to understand spoken texts, to understand spoken recorded texts, and to overcome temporary communication difficulties. Various ES lecturers’ efforts were also revealed according to their functions to improve each dimension of CC. Most students perceived the lecturers’ efforts positively due to the impacts on their motivation, self-efficacy, collaborative skills, and metacognition. However, few students echoed negative perceptions about a lecturer’s native-speakerism-endorsed effort due to lingua-cultural issues. Implication, limitation, and recommendation are discussed.

Numerical thinking is needed to recognize, interpret, determine patterns, and solve problems that contain the context of life. Self-efficacy is one aspect that supports the numerical thinking process. This study aims to obtain a numerical thinking profile of Mathematics pre-service teachers based on self-efficacy. This study used descriptive qualitative method. The data obtained were based on the results of questionnaires, tests, and interviews. The results of the self-efficacy questionnaire were analyzed and categorized (high, moderate, and low). Two informants took each category. The results showed the following: informants in the high self-efficacy category tend to be able to interpret information, communicate information, and solve problems with systematic steps. Informants in the moderate self-efficacy category tend to be able to interpret and communicate information, but tend to be hesitant in choosing the sequence of problem-solving steps. Meanwhile, informants in the low self-efficacy category tend not to be able to fully interpret the information. As a result, the process of communicating information and solving problems goes wrong. Another aspect found in this study is the need for experience optimization, a good understanding of mathematical content, and reasoning in the numerical thinking process.

This study investigated student teachers’ teaching self-efficacy level and factors that predict it (using five-factor mentoring model). Two hundred and ten third and fourth-year student teachers (N=100/N=110; 93.8% females) were involved in the study and asked to complete a self-report questionnaire. The “Mentoring for Effective Primary Teaching” instrument and “Teachers' Sense of Efficacy Scale” were used to collect the data. Findings indicated that higher levels of student teachers' self-efficacy are positively associated with the level of mentoring experience during the teaching practicum. The results found that fourth-year students reported significantly higher levels of teaching self-efficacy than third-year students. This study reported that there is a significant mean difference in student teachers’ self-efficacy beliefs in terms of having parents in the teaching profession. A multiple regression found that mentor teachers’ personal attributes are the best predictor of student teachers' teaching self-efficacy beliefs.