The investigation of epistemological beliefs has become important in both pre-service and in-service education of teachers. Different scales have been developed to determine teachers’ epistemological beliefs. The same scale yields different results in different cultures especially due to the cultural aspects of education. Therefore, testing the scales in different cultures contributes to their use. Within this framework, the scale developed by Schommer and adapted to Turkish culture by Deryakulu and Büyüköztürk was adapted to Kosovo culture. In the study, whether the Albanian, Bosnian and Turkish versions of the scale support the same factor structure was tested by employing the quantitative research method. First, the Epistemological Belief Scale was translated into Albanian and Bosnian and expert opinion was received. The scale was applied to 200 teachers who serve in schools where education languages are Albanian, Bosnian and Turkish. The scale comprised 35 items and 3 factors. Linguistic equivalence was prioritized, as the study was carried out in Kosovo. The Confirmatory Factor Analysis was employed to confirm the suitability of the three-factor structure of the scale. The analyses were carried out separately for each language and revealed acceptable fit indices. Reliability analysis produced satisfactory results.

Student learning in higher education is influenced by parental involvement, peer support, and lecturers' perceptions of agreeableness. This research aims to examine the correlation between parental involvement, peer support, and the perception of personality agreeableness of lecturers on self-regulated learning (SRL) students. This research is a correlational field research model with a quantitative approach. The respondents of this research were 250 students of Yogyakarta State Islamic University who were obtained using a purposive random sampling technique. Data collection uses a scale of SRL, parent involvement, peer support, and perception of the agreeableness personality of the lecturer. Regression analysis is used as a data analysis technique. The results showed that there was a positive and significant correlation between parental involvement with SRL, peer support with SRL, personality perception agreeableness lecturers with SRL, and parental involvement, peer support, and perceptual personality agreeableness of lecturers together with SRL with an effective contribution (R2) of 15.1%. It was concluded that the involvement of parents, peer support, and perception of personality agreeableness of lecturers related to SRL of students. Therefore, to see student SRL can be seen based on the involvement of parents, peer support, and students' perceptions of the personality agreeableness of their lecturers.

Recently, Emergency Remote Teaching (ERT) has caused a considerable interest in the school community due to the wide-scale lockdown brought about by the COVID-19 pandemic. The curriculum's alteration necessitated a call to explore mechanisms for effective remote instruction delivery—including parental involvement. This research determined the psychometric properties of the "Strategies for Parental Involvement during Emergency Remote Teaching - Scale (SPIERT-S). The tool assesses the strategies used by teachers to facilitate parental involvement during ERT. Through a thorough literature review, 22 items about home and school collaboration and ERT were initially developed. Evidence related to content validity was established through two-round expert consultation, while data related to construct validity were gathered through factor analyses. The content validity analysis resulted in the deletion of four (4) items; hence, 18 items were retained. A three-factor structure was yielded from Exploratory Factor Analysis (parents as facilitators of learning, parents as sources of information, and parents as collaborators), and a total of 15 items were retained. The confirmatory factor analysis indicated an acceptable level of the goodness-of-fit indices measured. The internal consistency of the factors and the whole scale showed excellent reliability. The results suggest that the SPIERT-S has good, valid, and reliable psychometric qualities and can be used to examine the strategies for parental involvement that teachers utilize during emergency remote teaching. Recommendations and limitations of the study are discussed.

Industrial revolution 4.0 is currently present in various countries, including Indonesia. Indonesia responded quickly through technological developments, especially education. The actions of the Indonesian government to deal with industrial 4.0 are contained in the 4C principle, one of which is Critical Thinking. The Science, Technology, Engineering, and Mathematics (STEM) learning approach has become an alternative in building critical thinking skills, especially in science learning. The purpose of this study is to quantitatively measure the impact of the STEM-inquiry model based on the K-13 Indonesian Curriculum towards critical thinking skills of 15-16 years old students. This study employed quasi-experimental with non-equivalent control group design at SMAN 1 (State Senior High School) Padang Cermin, Lampung, Indonesia. The research subjects consisted of 50 students. The critical thinking skill was measured through 10 items of an essay question on the momentum and impulse material. Based on the results of the non-parametric statistical hypothesis test Mann Whitney, the significance level of 0.004 was obtained (sig <0.05). The results of the hypothetical test showed that the student's critical thinking skills before and after using the STEM-based inquiry model were different. It can be concluded that the application of the STEM-based inquiry model was effective in increasing students' critical thinking skills.

This study aims to test proving the scale of measuring the character of students' curiosity using confirmatory factor analysis. This study uses a quantitative approach. The sample used was 325 randomly selected participants. The variable examined in this study is the character of curiosity. The curiosity variable is focused on elementary school students. In this study, this variable was measured by four indicators and 16 measuring items. The four indicators include: paying attention, taking notes, asking questions, and comparing. Data collection was carried out by distributing curiosity questionnaires to participants. The data analysis technique used was confirmatory factor analysis. The reliability analysis used was the composite score reliability analysis. The results of the study concluded that the constituent indicators of the latent variables of students' curiosity show that all loading factor values have a significant effect on the latent variables in the first order confirmatory factor analysis (CFA). Meanwhile, in the second order CFA, the variable of curiosity, the biggest contribution was the indicators compare. This student curiosity assessment model has fulfilled the goodness of fit aspect of the model and has been reliable based on construct reliability. This study recommends a scale measuring elementary school students' curiosity.

Professional teaching competence is significantly influenced by beliefs about teaching and learning. Prospective teachers start their teacher training with quite persistent beliefs about learning processes. These beliefs are mainly influenced by the way they experienced their own lessons as a student at school. Previous biology lessons at school might be linked to the imagined biology lessons of prospective teachers. We interpret these future lessons as a representation of their beliefs about teaching and learning. The present study investigated how prospective teachers remembered their previous biology lessons as well as how they imagine the lessons they will conduct in the future. The drawings of 181 prospective biology teachers in Germany (Mage = 22.1; SD = 3.6; 64.1 % female) were analyzed using the Draw-a-Science-Teacher-Test Checklist (DASTT-C). Results of the study indicate that the lessons they experienced were mainly teacher-centered, whereas the lessons they imagined were mainly student-centered. Results of a chi-square-test indicate that there is no connection between these two drawings of biology lessons. This suggests that experiences from one’s own schooling may have no connection with the way prospective teachers would like to teach in the future. The results of this study might be used as a basis for further studies examining the development of prospective biology teachers’ beliefs about teaching and learning.

One of the issues that hinder the students’ learning progress is the inability to construct an epistemological explanation of a scientific phenomenon. Four-tier multiple-choice (hereinafter, 4TMC) instrument and Partial-Credit Model were employed to elaborate on the diagnosis process of the aforementioned problem. This study was to develop and implement the four-tier multiple-choice instrument with Partial-Credit Model to evaluate students’ learning progress in explaining the conceptual change of state of matter. This research applied a development research referring to the test development model by Wilson. The data were obtained through development and validation techniques on 20 4TMC items tested to 427 students. On each item, the study applied diagnostic-summative assessment and certainty response index. The students’ conceptual understanding level was categorized based on the combination of their answer choices; the measurement generated Partial-Credit Model for 1 parameter logistic (IPL) data. Analysis of differences was based on the student level class using Analysis of Variants (One-way ANOVA). This study resulted in 20 valid and reliable 4TMC instruments. The result revealed that the integration of 4TMC test and Partial-Credit Model was effective to be treated as the instrument to measure students’ learning progress. One-way ANOVA test indicated the differences among the students’ competence based on the academic level. On top of that, it was discovered that low-ability students showed slow progress due to the lack of knowledge as well as a misconception in explaining the Concept of Change of State of Matter. All in all, the research regarded that the diagnostic information was necessary for teachers in prospective development of learning strategies and evaluation of science learning.

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.

The current study investigated Student-Teacher Relationship Measure (STRM) psychometric properties using Rasch analysis in a sample of middle school female students (N = 995). Rasch Principal Components Analysis revealed psychometric support of two subscales (i.e., Academic and Social Relations). Summary statistics showed good psychometric properties. The category structure and individual statistics (i.e., items and person infit and outfit) were not ideal. Category structure showed that the distances between adjacent thresholds were lower than optimal criteria. Even though findings indicated that items mean square statistics (MNSQ) were optimal, standardized fit statistics (i.e., ZSTD) reflected many misfit persons and items in each subscale. After eliminating the misfit persons and items, the two subscales met the Rasch optimal criteria. The updated short 22-item scale had good psychometric properties, high item and person separation, and good item and person reliability for the two subscales and can be used as a reliable and valid scale.

We investigated the effects of just-in-time guidance at various stages of inquiry learning by novice learners. Thirteen participants, randomly assigned to an intervention (n = 8) or control (n = 5) group, were observed as they learned about DC electric circuits using a web-based simulation. Just-in-time instructional prompts to observe, predict, explain, systematically test, collect evidence, and generate rules were strongly associated with diagnosing and correcting misconceptions, and constructing correct scientific concepts. Students’ repeated use of predictions, systematic testing, and evidence-coordinated reasoning often led to formulating new principles, generalizing from observed patterns, verifying comprehension, and experiencing “Aha!” moments. Just-in-time prompts helped learners manage embedded cognitive challenges in inquiry tasks, achieve a comprehensive understanding of the model represented in the simulation, and show significantly higher knowledge gain. Just-in-time prompts also promoted rejection of incorrect models of inquiry and construction of robust scientific mental models. The results suggest ways of customizing guidance to promote scientific learning within simulation environments.

This study aimed to analyze the Research-Based Learning (RBL) model implementation in the natural sciences in improving students’ analytical thinking skills. This study employed a mixed-method with a sequential exploratory design. Data collection began with qualitative data and then continued with quantitative data. Qualitative data collection techniques used observation and interviews, while quantitative data collection used essay tests. Sampling was carried out before the research implementation. The samples were students of the PGMI IAIN Surakarta Study Program, Indonesia, which consisted of 34 pre-service elementary school teachers. The research was conducted in the odd semester of the 2019/2020 academic year. Quantitative data analysis techniques used a quasi-experimental design with one group pretest-posttest. Based on the results of four observations on the research treatments, the mean was 3.714, in which the values of preliminary activities were 3.625, core activities were 3.714, and closing activities were 3.75, used a rating scale (1-4) with the very good category. The RBL model implementation in the natural sciences in the concept of energy can improve the analytical thinking skills of students, as evidenced by the N-gain value was 56.57%in the medium category. This increase was obtained from the mean of the pretest score (46.84) and the post-test score (76.9), by using a rating scale (0-100). The research findings provide ideas to lecturers and researchers in improving the student's analytical thinking skills through the application of innovative learning models in the topic of the concept of energy.

Creative thinking is the highest level of the kind of high order thinking. In observations at the schools in Indonesia, teachers overly equate all levels of achievement of students' creative thinking to obtain higher order thinking skill improvements in mathematics learning. This condition results in an imbalance in learning practices. Therefore, this research fills the gap of this imbalance by describing the student’s creative thinking profile as a high order thinking skill in the improvement of mathematics learning. These results can contribute knowledge to educators to manage teaching strategies that can improve mathematics learning which refers to high order thinking skill for all levels of their creative thinking. This research is qualitative descriptive research. The subject were junior high school students in Malang, Indonesia. Data collection methods are tests, observations, and interviews. Data analysis is conducted by reducing data, present data, and conclusions. These research results are descriptions of student’s creative thinking profiles as a high order thinking in mathematics learning improvement, namely students have problems planning problem solving; students take a break to make plans; identify the essence of the problem, provide original ideas, provide alternative problem-solving plans, combine previous ideas with problem questions; operate and implement their plans by creating various original solutions.

The changes brought about in higher education by the Coronavirus disease (COVID-19) pandemic require effective action. Teachers must be trained to work on university platforms. The study allows us to analyse the current educational problems, which are found in many countries, not only in Ecuador. The research aimed to determine the virtual andragogical competencies of Ecuadorian university education during the COVID-19 pandemic. A mixed research approach was used. A quantitative analysis was applied first, followed by a qualitative analysis. The sample selection was participatory and non-probabilistic. The sample consisted of 1003 active higher education teachers in Ecuador. A questionnaire of 106 questions divided into four variables was applied. A multiple analysis of variance (MANOVA) was performed. The analyses demonstrated the need to apply four integral competencies. First the teacher must "Know how to be", through continuous ICT training. After the teacher has been trained, he/she must "Know". This process involves mastering educational technology. After updating knowledge, they must "Know how to live together". Develop critical and constructive communication. Then "Know how to do" by applying an effective guiding methodology. Teacher training under the competency-based approach is seen as a viable alternative.

The present study aimed to investigate the relationship between students’ academic motivation, implicit beliefs about intelligence and learning strategies among undergraduate healthcare students. First-year students of healthcare degree courses from a university in Southern Italy were surveyed. The study measured psychological constructs by means of Academic Motivation Scale, Motivated Strategies for Learning Questionnaire, and Dweck’s implicit questions about beliefs of intelligence. Two regression models were computed to assess the association between students’ beliefs about intelligence, motivations for studying, and learning strategies. In the first regression model, predicting students’ use of cognitive strategies from implicit intelligence beliefs and motivations for studying, stronger autonomous motivations were significant predictors of cognitive strategies. The second regression model, predicting students’ use of metacognitive strategies from implicit intelligence beliefs and motivations for studying, was not significant. These findings can be useful to plan tailored educational interventions to promote students’ motivation, incremental beliefs about intelligence and their use of learning strategies positively related with academic performance.

The reason of to be of any educational model is to ensure that its students are self-regulated, which implies the setting of objectives, the monitoring of their actions in order to reach them, the control of their cognitive processes, the use of diverse learning and motivation skills. One way to collaborate in this is to evaluate the student's current situation in order to intervene. Due to the above, the purpose of the study is to determine validity and reliability of the scale Students’ Approaches to Learning (SAL) in Mexican students. The SAL was applied to 894 high school students. Considering the results, the SAL presents good functioning and acceptable psychometric properties. In relation to the internal structure, the results support the composition of the 14 sub-factors of SAL, which is consistent with the original study. The results obtained have enough empirical support to interpret the construct of learning approaches from a multidimensional point of view.

Assessment is a topic that continues to be developed in science education research. Assessment evaluates not only students' cognitive abilities but also their thinking skills. Therefore, in this study, an assessment that could measure students' chemical literacy was developed. Chemical literacy is a thinking skill that students must develop as part of their chemistry learning. The goal of this study was to assess item' quality, as well as student’ chemical literacy on the concept of chemical rate. The Rasch model was employed to analyze the data in this study. The results of this study depict that the developed assessment had sufficient reliability and validity to be used to assess students' chemical literacy. Furthermore, the analysis of the students’ responses to the items revealed that many students did not understand or were unaware of the context presented. These findings suggest that students' chemical literacy in the material for the reaction rate is still lacking and needs to be improved. As a result, the teacher's role in assisting students in improving their chemical literacy through chemistry learning is critical.

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.

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.

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.