The mathematical literacy ability of Indonesian pupils is still relatively low, as indicated by Indonesia's score of 379 for mathematical literacy in PISA 2018. Paying attention to the learning process such as the teaching materials used in learning, is one of ways to increase mathematical literacy skills. To strengthen students' mathematical literacy skills, it is great for building qualified mathematics teaching materials with the nuances of science, technology, engineering, and mathematics (STEM) which are supported by the information and communication technology (ICT)-assisted Preprospec (Prepare, Problem Solving, Presentation and Conclusion) Learning Model. The research method used in this study is research and development (R&D), with the main reference of 4D-model development by Thiagarajan, whose stages are limited to define, design, and develop. The results showed that the feasibility test on teaching materials obtained the total average percentage of validator I to validator V, respectively, 90.19, 95.45, 93.90, 91.95, and 97.95 with very eligible criteria. It is easy to understand by students with a readability score of ρ = .109 > α = .05 or Cochran's Q = 13.091, and it can improve students' mathematical literacy skills, as evidenced by the Wilcoxon test and a gain normalization result of 485.

This study aims to investigate the perceptions of Generation Z students about ideal learning after the pandemic in Indonesia. This research uses a qualitative design with a phenomenological approach. There were 30 students from 6 different campuses in Serang City, Banten, Indonesia, who used a purposive sampling technique as research participants. Data collection was carried out using semi-structured interviews, which were then analyzed using thematic analysis techniques. The findings of this study state that there are four main themes regarding ideal post-pandemic learning, namely: (a) learning that is not monotonous, (b) equal portions of theory and practice, (c) ideal learning managed by an ideal lecturer, and (d) the need for the application of blended learning. This research contributes to the current literature on designing ideal learning on campus after the COVID-19 pandemic.

This research aims to prove the influence of teacher efficacy on learning quality with quantitative meta-analysis. The eligibility criteria in this study include: (a) The publication can be searched in Google Scholar, ERIC, DOAJ, Research Gate, and or ScienceDirect; (b) The publication is indexed in Scopus, WoS, SINTA (a portal indexing journal managed by the Ministry of Education and Culture of the Republic of Indonesia, equivalent to DOAJ and Index Copernicus), DOAJ, Index Copernicus, and at least they must be indexed in Google Scholar; (c) The topic of the studies must be relevant; (d) The studies must be carried out in the 2014-2023 year range; (e) The publication must have a value of (r), (t) or (F); (f) The studies have a magnitude of N ≥ 20. This study used the JASP application for data analysis. The results showed that: (a) the 40 studies analyzed were heterogeneous and normally distributed; (b) the influence of teacher efficacy on education quality is classified as strong (p < 0.05; rRE = 0.800); (c) publication bias was not detected. This study concluded that teacher efficacy has a strong influence on education quality.

This exploratory and descriptive study aims to theoretically promote the schema of pseudo-thinking processes in mathematical problem-solving by students. The participants in this study were 36 eighth graders and one math teacher. The researchers collected the data using tests and interviews. The results showed that the structure of pseudo-thinking based on the processes of assimilation and accommodation is theoretically composed of five hierarchical components, namely (a) the structure of the problem, (b) the structure of the subject's thinking, (c) the analytic process, (d) the integration of structures or substructures, and (e) the complete integration of structures. When the subject integrates incomplete substructures into existing thinking schemes, assimilation or accommodation becomes imperfect, resulting in cognitive disequilibrium. The results of such a thought process are called pseudo-thinking. Pseudo-thinking processes can be refined and improved into actual thinking processes through reflection and scaffolding. Assimilation and accommodation occur through defragmentation or organization to rearrange the internal schema so that full structural integration occurs. In the end, the subject experiences cognitive equilibrium so that it becomes an actual student thought process.

This article aims to identify the psychological factors of students that correlate with the smart risk-taking behavior of high school students in Indonesia. The data in this study were distributed to 227 students from 3 (three) regions in Indonesia and evaluated using the Partial Least Square Structural Equation Modeling (PLS-SEM) analysis technique. This study found that students' self-confidence was the biggest factor influencing the increase in smart risk-taking behavior, followed by the intention to learn chemistry and teacher support responses. These three factors were found to positively and significantly influence smart risk-taking behavior. However, we found that the smart risk-taking behavior of high school students in Indonesia is still poor. Therefore, it is necessary to have a learning strategy to utilize information technology in chemistry learning. We made several contributions, such as (a) developing a conceptual framework of psychological factors that can increase students' smart risk-taking behavior in chemistry learning that has not been extensively researched and developed by previous researchers; and (b) mapping out how the three psychological factors of students can be maximized to increase smart risk-taking behavior. For this reason, this research is expected to provide practical and academic contributions that can be used as a reference for bank management and further research.

Pedagogical content knowledge (PCK) consists of a set of understandings, knowledge, skills, and dispositions necessary for effective performance in specific teaching and learning situations. Using Scopus, EBSCO, and Web of Science databases, the study examines the progress of the PCK in science teacher education between 2011 and 2021. In total, 59 articles were reviewed, and 13 were selected according to the inclusion criteria. Among the findings, it stands out that the articles emphasize a series of tools used when teaching applied sciences, such as the use of educational technologies beyond the textbook or the integration of students' thinking. The articles state that PCK transcends subject knowledge and leads to subject knowledge for teaching. Finally, the literature has tried to answer how science teachers use PCK in the classroom, demonstrating strategies and practical value, both of which are vital for the functioning and application of their educational work.

The aim of the research was to develop a theoretical approach to describe the emotional and techno-ontological logic of mathematics teachers during distance learning during the COVID-19 pandemic and the impact of their emotional state on the learning process. The research approach used in this paper belongs to the qualitative paradigm. The study involved teachers and students from universities in Ecuador, both private and public. The study observed the behavior of teachers and students, analyzed the use of technology in mathematical activities, and analyzed personal opinions about the learning process of the participants of the study. A digital observation guide and open-ended interviews were used to collect data. The qualitative analysis program Atlas.Ti software was used to analyze the data. The program created three categories: andragogical heterotopia of mathematics, emotional scar in teacher preparation, and perceptions of the educational process. As the results of the research showed, there was a deficit of digital professional training of teachers in the university teaching of mathematics. As a result of the research work carried out, a theoretical approach is proposed, through which it is possible to avoid the manifestation of techno-ontological logical emotions in mathematics teachers in Ecuadorian universities.

The aim of this study was to investigate the effect of collaborative learning on learners’ communicative strategies in English for specific purpose (ESP) tour guide training course. The 12-week study was conducted using a quasi-experimental design with a pre-test and post-test, following the instruction of twelve topics in the ESP language training course. A total of 60 ESP language learners participated in the study. The experimental group was instructed using collaborative learning in the ESP tour guide language training and the control group was taught using a lecture-based approach. Data from the communicative strategies questionnaire were collected to assess the effectiveness of collaborative learning on learning communicative strategies in the ESP context. The results of the study showed that the experimental group was significantly higher than the control group on both the oral problem coping strategy scale and the listening problem coping strategy scale of the communicative strategies scale in the ESP environment. Based on the findings of the study, collaborative learning is effective in enhancing the language learners' communicative strategies in tour guide training course. Moreover, the study suggests that there should be a critical reflection on the ESP training course currently offered for tour guide language learners.

Teacher well-being is a stimulating topic frequently appearing in studies over long periods. Teachers are typically exposed to stress that, when addressed, can lead to low morale and positively impact their work. This study examined the relationship between job satisfaction and well-being among preschool teachers in Selangor. We used a quantitative research method and correlational research design to test the hypotheses and answer the research questions. The current study involved 977 government preschool teachers selected using a cluster random sampling method. After data cleaning, a data set of 610 respondents was used for this study. This study used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using AMOS for data analysis. SEM Analysis showed that job satisfaction positively influences teachers' well-being. However, our results also showed that the subconstruct of job satisfaction with students did not significantly influence preschool teachers' well-being.

Active learning (AL) techniques invite students to participate actively, either physically or mentally, in the learning process so that they can change their behavior efficiently to achieve great achievement. Still, there is insufficient knowledge concerning the dimensions of AL techniques for business subjects of secondary school students in Malaysia. Thus, the research’s goal is to assist in the determination of the instruments’ reliability to measure the AL techniques measurement scale for business subjects’ students using exploratory factor analysis (EFA) as well as reliability analysis. Moreover, this research conducted a self-administered survey among secondary school students who have taken business subjects as their elective subjects. From secondary schools in Negeri Sembilan, Malaysia, 123 respondents were randomly chosen for the sample. To measure the AL constructs, the study retained 30 items developed because no items have been omitted since the factor loading turned out higher than the 0.50 cut-off point and was used as a tool for data collection. Essentially, this research empirically validates the dimension which helps lead to AL techniques in business subjects that are improved, and the findings are particularly beneficial to secondary school students in Malaysia.

This descriptive phenomenological study looks into the lived experiences of teacher education college students on what it is like to learn math online during the COVID-19 pandemic. Due to the pandemic, online math learning may pose even more significant challenges. Hence, the researchers conducted the study to better understand and support the students in these challenging times. They interviewed 16 college student participants, who consented to participate in the study, to share their actual experiences - the challenges, struggles, and opportunities – in learning math online during the pandemic. The interview transcripts were analyzed following Colaizzi's method. Results revealed the following themes: (a) The hurdles: poor internet connection, unconducive learning space, difficulty in understanding the topics, financial problems, and health problems; (b) The upper hands: ease of access to varied resources, staying at home, and flexibility of the teaching and learning process; (c) The key takeaways: improved time management, self-discipline, resourcefulness, and growth mindset. The researchers recommend that the management of educational institutions consider the students' demographic data, financial level, available resources, and mental and emotional health while designing and implementing online programs. Further, future research may be conducted on the teachers' concerns that may influence students' online learning experiences with Math and other disciplines.

Many education and learning experts currently recommend the flipped classroom model as an alternative to learning after the COVID-19 pandemic. This study aims to explore the impact of the flipped classroom model on social skills and problem-solving skills for cadets. This research used a sequential mix method involving 50 maritime students in semester 7 of the Engineering Study Program at the Maritime Sciences Polytechnic Makassar, South Sulawesi, Indonesia. Researchers used two main instruments, namely problem-solving skill tests and interviews. Furthermore, in the quantitative analysis, the researcher ran paired sample t-tests and one-way Multivariate Analysis of Covariance (MANCOVA) using the SPSS 25.00 program. In addition, researchers also analysed qualitative data from interviews using thematic analysis techniques. The results showed that the flipped classroom model proved to have a positive effect on the problem-solving skills of maritime students. Other findings state that the cadets also respond positively to the flipped classroom model. Researchers recommend that teachers use the flipped classroom model, especially in dealing with learning in the post-pandemic era, like today.

This study investigated the influence of CThink4CS² Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS² Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were collected using the Computational Thinking Skill Test (CTST) which consisted of algorithmic reasoning, abstraction, decomposition, and pattern recognition constructs. A total of 73 students were in the treatment group (n=39) and control group (n=34). Experimental data were described by means of descriptive analysis and inferential analysis employing two-way MANOVA analysis. The results of the analysis indicated significant differences in CT skills between groups; students in the treatment group demonstrated better results compared to those in the control group. The paper provides insight into the integration of CT and EDP as effective pedagogical strategies for inculcating CT skills.

Education systems worldwide have been significantly disrupted due to the COVID-19 pandemic, creating an immediate need for a revamp of conventional teaching and learning techniques. To explore how this has affected the educational landscape, a scoping review was conducted. This scoping review aimed to examine the changes that occurred in the education field and to explore how it has transformed the educational landscape review. Using Arksey and O'Malley's methodology, 51 articles were selected for analysis from two leading databases: Scopus and Web of Science. All chosen articles were then subjected to thematic analysis. Three main aspects impacted by this global event were uncovered, which are technological advancements and digital transformation, changes in pedagogy and teaching methods, and mental health and well-being issues. This scoping review provides valuable insights into one of the most critical sectors affected by COVID-19, which can assist with planning future strategies for similar crises.

Pre-service science teachers need to be aware of eco-literacy and biotechnology as they will teach science subjects to students from the perspectives of 21st-century skills. This study aimed to develop a web-based module on biotechnology and examine preservice science teachers’ eco-literacy skills after using the developed module. The study used a research and development design adopting Molenda’s product development model (Analysis, Design, Development, Implementation, and Evaluation/ADDIE). There were 60 students majoring in science education as the research participants. The data were collected using a needs analysis questionnaire, a curriculum analysis form, a validation sheet, tests, and a response questionnaire. The obtained quantitative data were analyzed using IBM SPSS 25 with descriptive statistical tests with Swanson’s quantifications. Results showed that the web-based module on biotechnology could be developed through ADDIE stages with experts’ high validity results (M = 4.59, valid with revision). The module significantly improved the teachers’ eco-literacy skills on biotechnology topics (F = 14.053, p = .000, N = 60). This result implies that the web-based module on biotechnology can assist preservice science teachers in improving their eco-literacy skills.

The objective of this research was to assess the efficacy of project-based learning in enhancing the analysis of student worksheets in the domains of Science, Technology, Engineering, Arts, and Mathematics (STEAM) with the integration of the ecoprint technique, focusing on its influence on student motivation and creativity. This investigation was conducted as a quasi-experiment involving a sample size of 150 students selected through cluster sampling. Data collection was executed using standardized tests, with instrument validity ascertained through the Aiken index and instrument reliability determined via Cronbach's alpha coefficient. Data analysis was performed using multivariate analysis (MANOVA) and descriptive quantitative methods. The study's findings reveal a significant disparity in the mean scores of both learning motivation and student creativity. In conclusion, the implementation of project-based learning coupled with STEAM-based student worksheet analysis utilizing the ecoprint technique yields a substantial enhancement in learning motivation and student creativity. These findings underscore the success of employing STEAM-based worksheets in conjunction with the ecoprint method to foster students' motivation and creativity, as ecoprint inherently encompasses all STEAM components within the manufacturing process.

The incorporation of Computer Science teaching in educational systems has increased in recent years. Given international interest, Chile has promoted projects to promote the development of students' digital skills. Focusing on this new educational context, this research reports the results regarding the identification of computational concepts and practices that can be articulated with the contents and skills of the curriculum. of Chilean mathematics. for first grade of primary school based on the use of the Bee-Bot robot. For this, the study followed a qualitative approach, developing a case study of the Chilean study program with the content analysis technique and using, as analysis categories, computational concepts and practices from the field of educational computing. In total, 30 learning objectives of the study program were analyzed. The results indicate that, although there is little articulation between computational concepts and first grade content proposed in the curriculum, there is greater articulation between computational practices and mathematical skills suggested in the Chilean curriculum. It is concluded that Computational Thinking can be developed from the earliest school levels using the Bee-Bot robot (or similar), and this is demonstrated by the structure of the Chilean primary mathematics curricular program.

The review article presents an analysis of the literature on environmental literacy in sustainable development. By utilizing techniques to examine multiple documents published between 2013 and 2023, including citation analysis, co-authorship analysis, subject area analysis, and keyword analysis, this study aims to provide valuable information and insights into the research landscape surrounding environmental literacy and its contribution to promoting sustainable development. A systematic search was conducted to gather several scientific articles, conference papers, and publications from the Scopus database from 2013 to 2023. The findings of this analysis shed light on authors, influential institutions, and active research groups that contributed to the study of environmental literacy and sustainable development. This comprehensive review offers an understanding of the state of research in this field while identifying areas for further exploration and research gaps. The insights gained from this study can be highly beneficial for researchers, policymakers, and practitioners seeking to advance knowledge and take action toward promoting literacy's role in sustainable development. This analysis is a foundation for advancing our understanding of literacy's significance while emphasizing its vital role in sustainable development efforts.

The role of artificial intelligence (AI) in education remains incompletely understood, demanding further evaluation and the creation of robust assessment tools. Despite previous attempts to measure AI's impact in education, existing studies have limitations. This research aimed to develop and validate an assessment instrument for gauging AI effects in higher education. Employing various analytical methods, including Exploratory Factor Analysis, Confirmatory Factor Analysis, and Rasch Analysis, the initial 70-item instrument covered seven constructs. Administered to 635 students at Nueva Ecija University of Science and Technology – Gabaldon campus, content validity was assessed using the Lawshe method. After eliminating 19 items through EFA and CFA, Rasch analysis confirmed the construct validity and led to the removal of three more items. The final 48-item instrument, categorized into learning experiences, academic performance, career guidance, motivation, self-reliance, social interactions, and AI dependency, emerged as a valid and reliable tool for assessing AI's impact on higher education, especially among college students.

Mathematical modeling offers a promising approach to improving mathematics education. This study aims to determine if the concept of metacognitive awareness in the learning process is associated with mathematical modeling. This study also considers the interaction effect of sex and academic year level on both variables. Focusing the study on preservice elementary teachers might address potential issues and targeted intervention in their preparation program concerning their ability to teach and guide young learners in modeling activities. The research sample includes 140 preservice elementary teachers at Central Luzon State University, Philippines. Data collection used an adapted metacognitive awareness inventory and a validated researcher-made mathematical modeling competency test aligned with the K-12 mathematics curriculum in the Philippines. Results revealed that the preservice elementary teachers had a high metacognitive awareness and mathematical modeling competency, ranging from 22 to 31 out of 36 points. Besides, Factorial ANOVA indicates that academic year level positively affects both variables regardless of sex, and stepwise regression analysis unveiled that information management, declarative knowledge, and planning significantly predict 41.4% of the mathematical modeling competency variance. This suggests that developing metacognitive awareness supports preservice elementary teachers in performing modeling tasks that improve their competency level in mathematics.