This longitudinal study focuses on evaluating grade 7-9 school students’ perceptions of intervention modules intended to be relevant, as well as promoting learning attributes to raise awareness of science-related careers. Students are taught through six purposely developed and designed career-related teaching–learning modules (C-TLMs). Each module is initiated by means of a career-related scenario, followed up by promoting conceptual science learning plus drawing attention to careers to which each module intends to relate. Student perceptions are obtained by means of a questionnaire after each module with respect to its relevance and also the mean by which the learning environment raise interest, enjoyment and motivation associated with career awareness. Outcomes show that, in general, students participating in this study agree that the developed C-TLMs are relevant and students value the learning experienced through the different module contexts. Nevertheless, student appreciation of the specific inclusion of career awareness components in the modules is mixed.

Cognitive and psychomotor are two aspects that play an important role in children’s development, especially at the pre-school age. This study aims to create and test products in the form of learning methods with song and movement to improve children's cognitive and psychomotor aspects. This research is a research and development using 4D theory from Thiagarajan, Semmel, and Semmel. There are four phases in this research, namely the define phase, product design, product development, and dissemination. Data analysis used in this study was a qualitative and quantitative approach using instruments in the form of questionnaires, product validation sheets, and learning observation sheets. The collected data is then analyzed using two analytical techniques: (1) qualitative data with content analysis techniques and (2) quantitative data analyzed statistically with the help of SPSS. The results showed that this learning method was proven to have a level of validity, practicality, and effectiveness above the standard to improve children’s cognitive and psychomotor aspects.

This research aimed at analyzing the influence of ‘Process Oriented Guided Inquiry Learning’ model assisted by realia media, in which it was to improve the scientific literacy and critical thinking skill of primary school students, especially for the material of energy. This quasi-experiment research used single factor independent groups design. The research sample of this research were fourth grade students of SD Inpres Oeba 2 Kupang City, East Nusa Tenggara Province, of which students were in the academic year of 2019/2020. The technique of sample collection was carried out purposive sampling for 2 classes. The IVA class was used as the experimental class (POGIL model assisted by the realia media), in which it consisted of 30 students and the IVB class was used as the control class (expository learning) that consisted of 28 students. The learning was carried out in four meetings. The data of scientific literacy and the results test of critical thinking were collected by means of objective test on the energy material. Multivariate Analysis of Variance (MANOVA) was used to analyze the data using significance level of 0.05. The results indicate that (1) There is a significant difference between the students’ scientific literacy who gain the POGIL learning assisted by the realia media and the students’ scientific literacy who get the expository learning; and (2) There is a significant difference between the critical thinking of students who get POGIL learning assisted by realia media and the students who get the expository learning. It can be concluded that there is a significant difference between the scientific literacy and the students’ critical thinking taught by the POGIL learning that assisted by realia media to the students who use expository learning. Since there is a significant difference, it means that the POGIL learning assisted by realia media has an influence on the students' scientific literacy and critical thinking.

This research aims to determine the relationship between the seven components of Pedagogical Content Knowledge possessed by kindergarten teachers. The animal theme was chosen to determine the pedagogical content knowledge component profile of 30 kindergarten teachers, with data obtained through classroom observation, interviews, learning plan documentation. This study employed a mixed-method design, a type of sequential explanatory research with the structural equation modeling-partial least squares and descriptive tests used to quantitative and qualitatively analyze the data obtained. The result showed that: the relationship between the components is specified in the context of using themes to learn in the kindergarten; analysis of the relationships between the components is carried out separately, such as the relationship of all 7 (seven) components to 1 (one) pedagogical content knowledge component of kindergarten teachers; Orientation of teaching has the strongest relationship with Knowledge of Instructional Strategies for Teaching; Knowledge of assessment of early childhood education has the weakest relationship with knowledge of early childhood education subject matter; pedagogical content knowledge components for kindergarten teachers that are often found and associated with other components in a learning episode are orientation of teaching, knowledge of early childhood education curriculum, and knowledge of instructional strategies; there are pedagogical content knowledge component for kindergarten teacher that often found and connection with other component in a learning episode.

The aim of this study was to identify and classify the student’s concept image and its influence on the reasoning of the problem-solving of the derivative. The research used a qualitative description approach and used eight research subjects. From the answers collected upon the given problems, we obtained several variations of students’ concept images, thus it showed how students’ concept image influenced the reasoning. In order to clarify and classify the characteristic of the obtained answers, we summarized there were three categories of the concept image of the derivative, namely symbolically related to a basic formula of the derivative of a function, limit of the ratio of difference value of the functions, and the properties of the derivative of the functions. Furthermore, our study suggested that each student’s concept image affecting the reasoning of the derivative. In addition, we found some misperceptions in answering the problem and misconception in the use of the basic formula of the derivative of the functions among the students’ answers.

This research aims to describe the expectations of prospective teachers for students' mathematical thinking processes in solving problem-based on the Polya model. This model is perceived by the theory of mathematical thought processes proposed by Mason. A descriptive method with a qualitative approach was used in this research. The research subjects were 25 students from the Department of Mathematics Education, Ibrahimy University. The test was given to collect data related to mathematical thinking processes expected by prospective teachers to students. Collected data including observations, tests, and interviews were tested in the aspect of their validity by triangulation. The qualitative descriptive was used to analyze the data. The results indicated that: (1) The average GPA (Grade Point Average) of the high, medium, and low group prospective teachers' were 93.25; 89.89; and 83.63 with a standard deviation of 1.754 each; 1.054; and 5.370, respectively (2) The prospective teachers expected that the students' mathematical thinking processes were able to carry out all of four mathematical thinking processes based on Mason Theory; (3) The prospective teachers expected that students were able to use Mason Theory on every stage of the Polya model problem solving; and (4) The expectation of prospective teachers were specializing (89%), generalizing (75%), conjecturing (62%), and convincing (59%). The results suggest for following up in a teachers or lecturer’s meeting in order to find out the expectations of their students' mathematical thinking processes, both in mathematics or other disciplines.

This research aimed to develop a web-based application for teacher candidate competence instruments to prepare professional teachers in the Industrial Revolution 4.0 (IR 4.0) era. Teacher candidate competencies consist of pedagogical, professional, social, and personality competences. This is a research and development with 8 stages, involving the development of instrument grids/ construct, focus group discussions, instrument item development, instrument validation, manual instrument testing, application development, application assessment by experts, application trial, and final revision of the application. The initial focus group discussions involved 9 experts, while the instrument validation involved 35 experts consisting of 21 experts for pedagogical and professional competences, 7 experts for social competences, 7 experts for the personality competences, and 4 media experts. The trial involved a total of 107 Mathematics, Indonesian, and English student teacher candidates. Expert validation was analyzed using the Aiken formula; application effectiveness and readability were described based on expert judgment, and discrimination tests on the results of social and personality competence tests between the study programs used the Multivariate Analysis of Variants. The results showed that there were no differences in social and personality competences between Mathematics, Indonesian, and English prospective teachers. The developed instruments for pedagogical, professional, personality, and social competences were deemed valid. The application has met the readability aspect and is scored well by experts with an average assessment rating of  .78. These results suggest that the application can be used by the government as a solution to assess teacher candidate competences in the IR 4.0 era.

Metacognition in science teaching involves processes that include self-awareness and self-regulation. Metacognition enables the teachers to facilitate student learning and to reflect on their teaching in order to enable themselves to improve or to make any changes to their teaching. In particular, teaching activities, especially in the 21st century, do not merely involve the transfer of knowledge and then applying that knowledge into daily life, but teachers need to reflect, plan and evaluate learning outcomes to enhance further in teaching. This study attempts to gain the perspective and implementation of metacognition skills in teaching science in the primary school classroom. The data was collected through a qualitative research method based on interviews with six science teachers in primary school using semi-structured interview protocol. The interview data were analysed for emerging themes, guided by the research questions. Teachers have a similar perspective of the understanding of metacognition in science teaching. Further discussion focuses on the implementation of metacognition in science teaching. This discussion is divided into three aspects, which are constraints faced, overcoming the constraints, and efforts made to implement metacognition in science teaching. Hence, the understanding of science teachers in regards to metacognition in science teaching is important and gives a positive impact towards teaching and learning in primary science teaching.

The research explores the narrative inquiry of Indonesian teachers who are assigned to teach in remote areas. The research was conducted from 2019 until 2020. The teachers, in this case, are considered ethnographers because they try to recognize and enter remote island areas that have not been recognized. During this time, in the education context, narrative inquiry is more focused on teacher identity, teaching, curriculum, assessment, and counseling. In terms of narrative inquiry, the teacher as an ethnographer is very interesting to be studied, because it can provide ethnographic insight into the teacher’s perspective. The research used qualitative methods supported by ethnographic studies and involved 21 participants. Data analysis techniques used were the stages of identification, classification, reduction, and verification. The interview used was unstructured. The results show that the teacher as an ethnographer learned the local language in the early stage. The second stage is understanding the cultural situation of the local community. The third stage is the contribution of the teacher to the local community in the education context.

This study aimed to investigate the degree to which teachers in Qatar implement differentiated instruction as well as the impact of years of experience, qualifications, grade, school subjects and training on teachers’ use of differentiated instruction. Also the study tried to explore the obstacles impeding the application of differentiate instruction. The study targeted all early childhood teachers (1,836) in 99 Qatar public schools spreading across the country. A random sample of 236 teachers, accounting for 12.9% of the population participated in the study. Following the mixed approach, the researchers used questionnaires and interviews to collect the data. The results showed no statistically significant differences among the respondents in the degree of application of differentiated instruction due to training and qualifications; however, statistically significant differences were detected in relevance to years of experience, grade, and the subject being taught. The study also found an agreement among teachers on the obstacles they face during their application of differentiated instruction, most notably the teaching load, class size, and time. The study concluded with recommendations for education providers, teachers and researchers.

The purpose of this study was to find the determinants of effective diffusion of educational robotics in rural areas. The study analysed the key components, difficulties, and major lessons of the successful case of the remote northern region of Russia – Sakha Republic. The study used a mixed-method approach consisting of interviews, survey, literature analysis, and participants’ observation.  In the survey participated 57 robotics teachers and 113 elementary, middle, and high school students of the Sakha Republic. From survey participants were randomly chosen 30 robotics teachers and 18 middle and high school students for the interview. The literature analysis explored reports and articles on the educational robotics activities in the Sakha Republic for the period of 2011-2018. Based on the findings, the study developed a process model with five principles and ten components that influenced educational robotics diffusion in the Sakha Republic. One of the main determinants of the model was a support system of public-private partnerships and a local community of educators. Another was the need to consider the local area’s constraints, possibilities, and culture when implementing any technology in the rural region's education. In the researched case two major determinants would not be possible and sustainable without strong leadership. The findings showed that strong local leadership could use knowledge of the local area to provide more appropriate solutions and could build the active support of the local community and public-private partnerships that would accelerate the diffusion of technology in the rural region's education.

This research aims to investigate the effect of socio-scientific issues (SSI) based instruction on preservice science teachers’ soft skills and environmental awareness. By applying cluster random sampling, 83 preservice science teachers (PSTs) were selected from the Department of Science Education at a university in Indonesia. The participants were divided into two groups which comprised the experimental group who were taught using SSI-based instruction, while the control group received direct instruction. The quasi-experimental study was carried out through a pre- and posttest control group design. Data was gathered quantitatively using soft skills and environmental awareness questionnaires. The soft skills questionnaire comprised six sub-skills questions: communication, collaboration, problem-solving, creativity, teamwork, and social interaction. The environmental awareness questionnaire contained questions about the PSTs’ attitudes, behavior, and willingness to act. These sub-skills were developed based on literature studies and reviews of previous studies. Face validity was conducted by the experts, and Cronbach’s alpha coefficients of 0.84 (for soft skills) and 0.86 (for environmental awareness) were obtained. The data were analyzed using the Wilcoxon signed-rank test. The result showed that SSI-based instruction had a significant effect on improving preservice science teachers’ soft skills and environmental awareness. After being taught using SSI-based instruction, all the sub-skills of the soft skills of the experimental group had increased compared to before. A similar trend was also found in their scores for environmental awareness. All the components of environmental awareness, after lecturing using SSI-based instruction, showed a significant increase compared to before. These results support the claim that SSI-based instruction fosters soft skills and promotes environmental awareness.

This study aims to determine the effectiveness of the IPA KIT teaching aids for earthquakes science KIT in improving students' collaboration skills and creative thinking. The design of this research is a quasi-experimental research with a stratified random sampling technique. This study involved two classes, namely the experimental class (n = 32) and the control class (n = 33) with a pretest-posttest control group design. This research was conducted at SMP Negeri 5 Depok. The statistical analysis used to test the research hypothesis based on the pretest and posttest scores is the normality test, linearity test, homogeneity test, correlation test, effect size, and MANOVA test. The results showed that the use of IPA KIT teaching aids for earthquakes was more effective in improving students' creative thinking skills and collaboration. Therefore, teachers are advised to use the earthquake science KIT teaching aids for earthquakes to improve the creative thinking skills and collaboration of junior high school students.

This study seeks to develop a learning method based on local wisdom that is developed to support the learning process. One of the pearls of wisdom used in developing learning methods is the traditional games of the Sundanese people, namely the Bebentengan game. This study aims to see the improvement of student learning outcomes by implementing the Bebentengan learning method. The mix-method, quantitative data and qualitative data are described based on the research findings. It involves as many as 298 students at various levels; Elementary School (ES), Junior High School (JHS), and Senior High School (SHS) and nine teachers. Data analysis using ANCOVA. The results showed that there was no significant increase in learning outcomes at all levels (sig. 0.020 <α). There is a significant difference in the learning of students who get Sundanese local wisdom-based learning methods at each level (ES, JHS and SHS). Based on the comparison between ES and JHS (Sig = 0.079> α), can be concluded that the learning method is not effective to be applied in junior high schools. Then, between ES and SHS (Sig = 0.006 < α) so it can be concluded that the learning method is effective to be applied in elementary schools. The last comparison is between JHS and JHS or vice versa (Sig = 0.079> 0.314> α), can be concluded that the learning method is not effective to be applied in SHS. Therefore, this method is most effective at the primary level. We find that this learning method can improve student learning outcomes at all levels. Learning methods using local wisdom are effective enough to improve student learning outcomes. Thus, this method can be implemented more broadly. Still, it needs to be developed in the future. It does not rule out the possibility of learning methods based on local wisdom can be combined with technological advances.

Challenges arising from the classroom behavioral management of students with social, emotional and behavioral difficulties are a concern for educational professionals. The purpose of this study is to review common elements of behavior interventions for the disruptive behaviors of children with social, emotional and behavioral difficulties. A systematic review was conducted through an electronic search of studies (from 2000 to 2017) on ERIC, Web of Science, FRANCIS, and MEDLINE databases. The inclusion criteria involved: (i) an intervention improving behaviors at school of children with disruptive behaviors; (ii) elementary school children with the majority of the sample or average age between 6-11 years old; (iii) at least one measurable outcome focusing on social/emotional/behavioral outcomes; (iv) single-case designs. Of the 5339 articles that were identified in the initial screening, 27 met the criteria to be included in the review. Common characteristics of successful interventions are discussed to make recommendations for future implementation.

Every school should be able to equip students to have the ability to integrate the knowledge gained with real life in responding to global challenges. Assessment of learning outcomes in the form of cognitive and skill aspects must go hand in hand. This study aims to produce: (1) a critical thinking model integrated with the science process, (2) construct validity and reliability instruments that measure the integrated critical thinking skills of science process skills in high school chemistry learning. This assessment model uses the Design and Development approach which refers to the Ellis & Levy model, namely: (1) problem (2) goal setting, (3) model design and development, (4) model testing, (5) evaluation of the test result model, and (6) application model. The validity assessment consisted of 3 measurement and measurement experts, 2 chemistry education experts, and 2 treatments. The trial sample described 289 high school students in Sleman Regency. Proving the validity of the content using the Aiken formula gets a value of 0.923 in the good category. Internal instrument reliability is included in the reliable category with a value of 0.886 (> 0.7), while the Composite Reliability ranges from 0.88 to 0.90. Confirmatory factor analysis showed that the value of the Root Mean Square Error of Approximation (RMSEA) was 0.021 <0.08, the Chi-Square obtained from <2df testing was 38.29 <2 (34) and the Goodness of fit Index (GFI) was 0.97. > 0.90 or a model declared according to the data obtained in the field and can be used in extensive measurements.

Teachers in the constitution in Indonesia are professionals who must meet pedagogical, social, personal, and professional competencies. This qualitative research with a phenomenological approach aims to explore the experiences of the teacher professional education program (PPG) participants in gaining soft skills. The research data were collected through in-depth interviews conducted on fifteen PPG participants consisting of seven females and eight males. The fifteen participants attended PPG in five universities spread out from universities in Central Java, West Java, Yogyakarta Special Region, and Jakarta Special Capital Region. The sampling technique used was purposive sampling. Data analysis was carried out through the horizontalization, texturally, structurally, and essential descriptions stages. The results of this research found that PPG participants received soft skills learning in hidden curriculum patterns so that each participant had an initial understanding and how to get various soft skill understandings. Soft skills obtained by participants during the PPG implementation are self-confidence, collaboration, hard work, respect for culture, patience, wisdom, maturity, mental resilience, humility, responsibility, creative thinking, positive thinking, cooperation, humility, respect for others, and tolerance. This research recommends that soft skills learning at PPG be implemented with a structured curriculum so that participants have better abilities as teachers.

The study aims at investigating basic level schoolteachers' awareness of their students' mathematics learning disability (MLD) in the context of Nepal. It is based on a mixed-method research design in that it combines both qualitative and quantitative approaches as appropriate. Using the stratified random sampling technique, 300 basic level mathematics teachers were selected from 150 basic level (grades 1-8) community and institutional schools representing the three significant ecological regions (the Mountain, the Hill, and the Terai) and demographic variables (gender, place of residence, and school type) from Province 1 of Nepal. A Mathematics Learning Disability Awareness Scale (MLDA-Scale), was developed and used to measure the basic level schoolteachers' awareness of their students' MLD. Besides, a semi-structured interview was conducted with the purposively selected basic level schoolteachers for the qualitative data. The basic level schoolteachers' awareness of MLD factor categories was calculated using descriptive statistics. Similarly, t-tests were conducted to examine the effects of the demographic variables. The qualitative data, however, were analyzed thematically. The results reveal that the majority of the basic level schoolteachers' knowledge toward their students' MLD was inadequate and that the demographic variables had no significant effects on the teachers' knowledge of their students' MLD. Finally, the study recommends developing the managerial practices regarding the MLD issue further.

A Descriptive-correlational study was sought to investigate the influence of metacognition on the academic achievement and learning style of undergraduate students. Using the survey method, data was collected from a sample of 150 undergraduate students selected through a stratified random sampling technique which includes 50 students each from the three schools namely School of Humanities and Social sciences (HSS), School of Engineering (SOE), and School of Sciences (SOS) of Tezpur University. The tools used are five-point Likert-type Metacognitive skills scale and five-point Likert-type Learning Style Inventory. Academic Achievement of the students was measured based on the semester grade point average SGPA obtained in the semester examination. The data were analyzed using percentage, simple regression, multiple regression and one-way ANOVA. The result showed that only 34-36% of the undergraduate students have above-average metacognitive skills. The undergraduate students have equal preferences in all the five learning styles rather than focusing on one learning style. There is a significant difference between metacognition levels and academic achievement of the undergraduate students of SOS, HSS and SOE. The metacognitive skill explicates only 43% variability of academic achievement of the undergraduate students which implies that the undergraduate student’s metacognitive skills influence and determines their academic achievement to some extent. However, the undergraduate student’s learning style doesn’t account for variation in metacognitive skills. Thus, it is suggested that metacognitive skills should be integrated into curricular components and learning strategy which will help the students to monitor and regulate their own learning to meet the challenges of academic society.

Because of the Coronavirus Disease 2019 (COVID-19) outbreak, most universities were forced to choose Online Distance Learning (ODL). The study aimed to examine the response of university students to the new situation. A questionnaire was sent to the entire university student population. Based on responses from 606 students, it was revealed that use of all applications in ODL increased. However, only the use of MS Teams increased significantly, while the use of the other applications (email, Moodle, e-textbooks) increased in a range of low to medium in terms of effect sizes, and even nonsignificant for applications such as Padlet and Kahoot. Based on the replies of 414 respondents, a Model of Forced Distance Online Learning Preferences (MoFDOLP) based on Structural Equation Modeling was developed. With a chosen combination of predictors, we succeeded in predicting 95% of variance for Satisfaction, more than 50% for Continuance Preferences variance in MS Teams applications, and nearly 20% in the case of e-materials. Among hypothesized constructs, only Attitudes are a strong predictor of Satisfaction, while Organizational Support, Perceived Ease of Use and Learner Attitude toward Online Learning are not. Satisfaction is a good predictor of Continuance Preferences to use Information Technology after the lockdown ended.