Scientific literacy is a critical competency for people to take an essential role in science, technology, and social advancement. It is important to note that this competence is still a problem for most students worldwide. Therefore, this study analysed students' scientific literacy differences between a project-based learning flipped classroom (PjBL-FC) and a project-based learning (PjBL) class assisted by learning resources in wetlands environments. This quasi-experimental study used a non-equivalent control group design involving Class X Senior High School as the sample. The data were inferentially analysed by t-test. The results showed that the scientific literacy of students in the class that applied the PjBL-FC was better than those who applied only PjBL. Furthermore, all the indicators reach the high to very high category except the ability to propose a hypothesis, which is in the medium category. It was concluded that flipped classroom makes the PjBL take place more efficiently and effectively. Further studies can be carried out to determine how students use the learning materials, how teachers design the PjBL strategy in an online platform, their effect on scientific literacy, and how to combine PjBL with other approaches.

This study explored the effects of collaborative writing strategies on students' writing skills and self-efficacy. The study used a mixed methods design combining quantitative and qualitative approaches. Several instruments were used in data collection, including questionnaires, writing tests, writing assessment rubrics, and semi-structured interviews. The participants were randomly divided into two groups: the experimental group and the control group, which comprised 62 students. Data from the questionnaire and writing tests were analyzed using one-way MANOVA and MANCOVA tests, while interview data were explored using thematic analysis techniques. Participants were randomly divided into two groups: the experimental group and the control group. The results showed that collaborative writing strategies could improve students' writing skills and self-efficacy. Moreover, the qualitative results showed that most students responded positively to using these strategies to improve their writing skills and self-efficacy.

The aim of this study was to investigate how the use of the technologized model of critical thinking development affected the self-study process of students of higher educational institutions (HEIs). The research methodology was based on a combination of qualitative and quantitative empirical methods, as well as a descriptive approach to data analysis. The study involved a quasi-experimental model supposed to influence the variables under study. The technology-based educational model of autonomous learning with a focus on the critical thinking development in students of HEIs consisted of the following processes, such as: communication, analysis, synthesis, problem-solving, evaluation, and reflection. The Watson Glaser Test was adapted to monitor the level of students’ critical thinking. The average score on the final control of students’ knowledge was used to monitor the experimental group students’ performance. By monitoring the development of students’ critical thinking and the dynamics of their performance in the course of training, where 90% of the time students studied independently, it was established that the use of a technological educational model had a positive effect on the critical thinking of students of HEIs, and as a result, the effectiveness of their self-study.

Several reforms have been introduced to help enhance Vietnamese people’s English competencies. However, research on what reforms Vietnamese teachers support or resist is limited. Also, the impact of teachers’ demographic information on their responses to reforms is underrepresented. This mixed-methods study used a questionnaire, responded by 102 English as a foreign language (EFL) teachers, and six semi-structured interviews to address the gap. The results revealed that the teachers supported the reforms in their teaching context. They preferred using their self-developed or self-adapted materials to using required materials. On the other hand, using the VSTEP framework for designing tests was not supported. Teachers’ demographic information, especially educational qualification, significantly differed one’s responses to reforms from those of another. Some practical implications were discussed at the end of this paper. Also, some recommendations were presented to be considered for further studies.

Recent educational policy initiatives in Ireland have focused on improving outcomes in reading and mathematics among students, particularly those experiencing educational disadvantage. However, science achievement in Irish primary schools has received much less research attention, especially in the context of educational disadvantage. This article examines science achievement and its relationship to school compositional effects in primary schools at the national level, including school-average indicators of the school context, as well as examining factors associated with science achievement in three distinct categories of schools (those with high, moderate, or minor levels of educational disadvantage). The data are drawn from the Fourth grade Trends in International Mathematics and Science Study (TIMSS) 2015 database for Ireland. Multilevel analyses were implemented in a stepwise manner. Findings suggest the relevance of school contexts with regard to science achievement. Before including school-level contextual variables, students from ‘minor disadvantaged’ schools achieved significantly higher science scores than students from schools with ‘moderate’ or ‘high’ levels of disadvantaged. However, this difference disappears after controlling for predictors at the school level. The findings highlight the importance of the home environment, including early numeracy activities and skills before children start school. Results are discussed with regard to educational policy and educational practice in Ireland.

In today's World, data-driven methods are behind the determination of potential action plans in every area of life. These data-driven methods help individuals or policymakers to figure out the strengths and weaknesses on the subject that are worked on and to make a comparison to the best practices. Thus, actions can be taken immediately on the specific factors that have a huge impact on the topic investigated. In the educational area, countries are using the same approach to measure, monitor, and improve the quality of education by attending international studies. In this study, for both Turkish and Singaporean students, Artificial Neural Network (ANN) model is performed to predict the students' mathematics achievement and to identify factors that have a high impact on achievement using Trends in International Mathematics and Science Study (TIMSS) in 2019 with the data of 3,586 Turkish and 4,750 Singaporean students. The reason behind comparing the results of Turkey to Singapore is that Singapore is the best-performing country in terms of mathematics achievement in the TIMSS in 2019. The model results show that the top two crucial factors in both countries are the frequency of absenteeism from school, and students’ confidence in mathematics with the accuracy of 75%. In addition, relevant policy implications are given based on the importance level of significant factors.

This study used the structural equation modeling (SEM) approach to test a model that hypothesized the influence of self-efficacy, self-control, emotion, and engagement on student academic performance. The structural equation modeling model was developed to link all the study variables with a literature review to describe the interrelationship. Data collected were from 413 college students in their second year. The results show that self-efficacy, self-control, emotion, and engagement predict student academic performance. And through emotion and student engagement, both self-efficacy and self-control predict student academic performance indirectly. Practically the measures used in this study give more information about the learning environment in higher education settings than those usually come from traditional practices faculty received in the classroom, such as student rating forms and feedback. The main findings of this study have some implications for higher education, theory development, measurement, and future research.

This study presented the effect of interactive mathematics (IM) software assisted-teaching on primary three learners' conceptual understanding and performance. The cognitive theory of multimedia learning (CTML) supported the quasi-experimental design of this study drawing on IM software features that fit a multimedia tool for effective learning. This study used a sample of 138 lower primary learners. Learners’ test scores and examples of their work provided data to be analyzed. Learners' conceptual understanding was measured using the percentage of learners who performed a particular item and analyzed using sample learners' work while the overall performance was measured using the mean class scores. From the data analysis, IM-assisted teaching influenced conceptual understanding and performance based on a .05 p-value, the effect size of significance, and learning gains. The analysis of learners’ workings revealed different errors in addition, subtraction, division, and multiplication, which were remarkably reduced in the post-test by IM-supported teaching. This evidenced conceptual understanding development by IM-supported teaching. The study suggested the integration of IM in the Rwandan Competence-Based curriculum and its use as an instructional tool in teaching and learning mathematics at the primary level. Besides, it was recommended that Rwanda Education Board support teachers in developing basic computer skills to effectively create and monitor a multimedia learning environment for effective learning. Furthermore, further similar research would improve the literature about interactive technologies in supporting quality mathematics delivery and outcomes.

Digital puzzle worksheet (DPW) is innovative teaching material designed using open-source software such as Canva and Liveworksheets. Subsequently, puzzle games in the form of questions can improve problem-solving skills by engaging in metacognitive processes. This research used a case study method to describe the impact of applying the DPW to identify the metacognition levels of students through the assignment of contextual maths problems. The source of informants was third-grade elementary school students in West Java, Indonesia. Test instruments, observation sheets, and interviews were used, while data analysis adopted an iterative model. Furthermore, the method and time triangulation increased confidence in the resulting conclusions. The results showed that male students were at the metacognitive level of ‘strategic use’ and ‘aware use’ for females, based on the characteristics of the observed metacognitive level. The most prominent feature was identifying and determining problem-solving strategies with metacognitive awareness. The reaction of students to the DPW improved problem-solving abilities, expanded conceptual understanding, and enhanced digital technology competence. Therefore, this experience was applied when solving contextual mathematical problem assignments.

Education in public speaking often relies largely on qualitative feedback. In this study, we explored how a numerical feedback form based on a validated scale could be used in an educational public speaking program. Data were collected at three clubs of Toastmasters International. Speech content was labeled to enable statistical analysis of correlations between speech content and audience ratings. 216 speeches by 59 speakers were evaluated by audience members, providing 1416 individual evaluations. All rating categories correlated strongly with each other. Speeches mentioning relationships, personal stories and positive emotions were rated more favorably. Speeches given in-person were rated more highly in several dimensions compared to speeches given through online video. There were some sex differences in choice of content and emotional expressiveness, but not in audience ratings of speech quality. Overall, the study found that the method was useful for both providing individual feedback and aggregated data for research purposes.

This study aimed to evaluate the effect of online social support (OSS) on the psychological well-being (PWB) of caregivers of children with autism spectrum disorder (ASD). The role of gender as a moderator variable in the relationship between online social support and psychological well-being was also investigated. A quantitative research design was used to collect data from 154 caregivers of children with ASD in Indonesia using PWB and OSS questionnaires adapted into Bahasa Indonesia. Data were analyzed using SMART PLS 3.0. Online social support influences the psychological well-being of caregivers of children with ASD. At the dimension level, several OSS dimensions also affect PWB. The effect of online social support on psychological well-being is the same in both the male and female groups. This means that male and female groups benefit equally from online social support. Future research should combine the study with a qualitative method to gather data from caregivers on how OSS affects their PWB in order to gain a holistic perspective. It could be a suggestion to policymakers to provide beneficial online social media for caregivers of children with ASD.

The objective of the study was to develop a structural model that explores the relationship between Mathematics Performance and students’ self-regulated learning skills, grit, and expectancy-value towards science, technology, engineering and mathematics (STEM). The research collected survey data from 664 senior high school students from 17 STEM high schools, and conducted a covariance-based structural equation modeling (SEM) analysis. The results of the SEM analysis indicate that the Re-specified Self-Regulated Learning Skill – Expectancy-Value towards STEM – Grit – Mathematics Performance (Re-specified SRL-EV-GR-MP) model is the most parsimonious fit, offering the best empirical support for the theoretical model of the study. The research findings suggest that the mathematics performance of senior high school students in STEM curriculum is attributed to their high expectancies for success and perceived values of the STEM tasks, high grit, and high self-regulated learning skills. Moreover, the research also observed evidence of mediating and moderating grit effects in the concurrent effects of expectancy-values towards STEM and self-regulated learning skills towards students’ mathematics performance.

The current study investigates the psychometric characteristics of the Social Support Scale as an instrument for assessing social support for academics. The original version of the scale was adapted and translated into Indonesian and was administered to academics in Indonesia through a google form. The data were then analyzed to investigate the reliability, construct validity, and structure of factors of the instrument. Confirmatory factor analysis confirms that the three-dimension model was the best model regarding the internal structure. Our findings also advocate the Social Support Scale as a valid and reliable tool for assessing social support in Indonesian academics. Thus, it can be employed to examine lecturers’ social support level which helps the universities to build a supportive working climate, as well as improve the relationship quality between employees.

A virtual-based disaster learning model was created to enhance understanding of COVID-19 disaster mitigation following the characteristics of elementary school students because the high number of child deaths brought on by the COVID-19 pandemic served as the driving force behind this research. The virtual-based disaster learning model had been deemed valid, but more study is required to ascertain its impact on primary school pupils' comprehension of COVID-19 disaster mitigation. This study sought to determine how the virtual disaster learning model affected elementary school pupils' understanding of COVID-19 disaster mitigation. This study was a quasi-experimental investigation. Non-equivalent control group design was the type of experimental design employed. The t-test showed that students who studied using virtual-based disaster learning models and those who used conventional learning had different average levels of understanding of COVID-19 disaster mitigation. According to the findings, primary school children who learned using virtual disaster learning models had higher scores than students who used conventional methods. This finding revealed that virtual disaster learning models could improve understanding of COVID-19 disaster mitigation. The results of this study's implications can be applied as a different approach to enhancing elementary school kids' comprehension of emergency planning for COVID-19.

The purpose of this study was to examine whether exam anxiety played a role as a mediator in the relationship between psychological resilience and school satisfaction in a large sample of adolescents (N = 1819; Mage = 15.16, SD = 0.95) who live in different regions of Azerbaijan. Adolescents’ psychological resilience was positively associated with school satisfaction, whereas their exam anxiety level was negatively associated with school satisfaction. Structural equation modeling results showed that exam anxiety partially mediated the relationships between psychological resilience and school satisfaction. Therefore, the indirect effect of psychological resilience on school satisfaction through exam anxiety was also statistically significant.

Research on conceptual understanding is one of the first steps in designing materials to improve learning. Literature reports that students have difficulties analyzing and describing phenomena in electric circuits. This report contributes to students' conceptual difficulties regarding simple electrical circuits by systematically analyzing an open conceptual test answered by 531 first-year engineering students. We found students' reasoning that has not yet been reported in the literature as misconceptions or difficulties. To deepen our understanding of students' difficulties, we chose five students by convenience to interview. We present evidence that there are two main contributions to the taxonomy in this study: the Series Circuit Misconception, which is when students convey that the current through bulbs is the same because they are in series, using that as a mnemonic ignoring any change in the circuit; and the Inverse Parallel Circuit Misconception, that is when students mention that the resistance of the circuit decreases when disconnecting bulbs in parallel, neither are reported in the literature. The results of this study have implications for physics education research in electric circuits and educational practice in the classroom.

This study seeks to investigate the relationship between dropout intent, the weekly work duration of student employees, and university social capital by analysing empirical evidence from three European countries, including Estonia, Lithuania, and Poland. This exploratory study utilised Eurostudent-VII survey data and employed cross-tabulation and exhaustive Chi-square Automatic Interaction Detection (CHAID) to achieve its objectives. Findings indicate that student employees who believe they get along well with their teachers and have more connections with fellow students to discuss subject-related issues are less likely to intend to drop out of university. In addition, the results show that students’ likelihood of abandoning their higher education increases in the presence of difficulties caused by an inapt academic programme. Regarding employment duration, for the Estonian and Lithuanian markets, there is no difference between working more than 20 hours per week or less than that with the intention of dropping out of university. In Poland, however, the disparity in working hours interacts with other factors related to social capital to explain dropout intent. These findings provide novel insights into the dropout literature by refreshing thoughts on the role of teacher-student and peer relations in the dropout intentions of student employees. In addition to reviving the relevance of university social capital, which has received too little attention lately, they have also sparked a recent debate on whether or not combining work and university actually affects the intention to drop out.

The fundamental challenge in implementing inclusive schools is related to accepting students with special needs by other students. Lack of acceptance and respect for differences often trigger acts of bullying. There are insufficient studies describing that the perpetrator of bullying in school is a student with special needs. This study aims to measure the effectiveness of the educare program in improving students' pro-social attitudes to prevent bullying in inclusive schools. The Educare Program consisted of four lesson plan themes and became a treatment instrument. Single subject research (SSR) was used for the research method, implementing the baseline-intervention-maintenance (AB+M) phase with multiple baselines across subjects. Three students, including a student with a disability and a low pro-social attitude, were the subjects of this study. The data were collected through observation and analyzed through graphical visual inspection focusing on trend, level, latency, and percentage of all non-overlapping data (PAND). The results of the study presented in polygon graphs and PAND showed that the Educare Program is very effective in increasing students' pro-social attitudes. Almost all scores of pro-social attitudes obtained through trend with PAND reached 96.11%.

This study investigates whether digital competency and self-leadership influence teachers’ innovative work behavior in Islamic International schools. The participants in the quantitative research were 108 teachers from the Islamic International School, who were selected using saturated sampling. The researchers used a 41 items questionnaire to collect data on the study variables. Quantitative data were analyzed by applying structural equation modeling partial least squares (SEM-PLS) using Smart-PLS 3. According to the study's findings, digital competency has a positive and significant impact on innovative work behavior, while self-leadership also has a positive impact that significantly influences innovative work behavior. Overall, the impact of digital competency and self-leadership simultaneously was 0.584 or 58.4%, while the other variables not tested in this study influenced the other 41.6%. This research emphasizes schools to improve building their teachers’ innovative work behavior and for teachers themselves through training, self-development programs, building knowledge sharing among teachers and school leaders, and open ideas about developing pedagogical and sustainable programs for schools.

The focus of this article is to analyze the distribution patterns of student grades over time for different subjects and by gender. Specifically, we examined the final term grades of upper secondary students in Portuguese public schools across four subjects (Mathematics, Portuguese Language, Philosophy, and Physical Education) from the academic years 2013-2014 to 2017-2018. These grades reflect the teachers' perceptions of the students' knowledge gained throughout the academic year. We expected to see some regularity in the grade distributions over time for a particular subject. However, we found that the similarity of grades across subjects and time was so striking that differences were barely noticeable by visual inspection. Due to the very large sample sizes (in the order of tens of thousands), the quantification of similarities and dissimilarities was done through distribution’s proximity statistics and not by classic statistical methods, like Chi-Square or comparison of means tests. Additionally, we applied a methodology of multiple equivalence tests to globally compare the relative frequencies of each of the grades in pairs of independent samples. Our analysis showed that there was a high level of similarity in grades for the same subject over time, but we also found differences between subjects and between genders.