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.

Researchers have recognized the need for updates of test anxiety scales for more measurement accuracy. However, studies that investigated the measurement invariance of the Test Anxiety Inventory (TAI), and identified the latent profiles remain scare not withstanding its wide usage in Nigeria. This might have an impact on how generalizability and reliance on outcomes from such an instrument are handled. We investigated the measurement invariance of TAI and the latent profiles among Nigerian adolescents. Gender constituted our focus in the measurement invariance given its significance in test anxiety research. Adolescent students (n=539) formed the sample of our study. We employed the confirmatory factor analysis (CFA) and the latent profile analysis (LPA) to measure the invariance and identify the class profiles. We found evidence of a measurement invariance across gender in both competing models given that we obtained strict measurement invariance. We also identified a four-class profile model for both male and female students: low (17.50%; 19.00%), moderate (17.50%; 34.40%), high (36.80 %; 32.80%), and very high (12.60%; 13.80%) test anxiety profiles respectively. We concluded that while the composed factors are equivalently scaled across gender that test anxious students were not monolithic given the identified profiles.

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 pedagogical and didactic guidance of teachers has been linked, in the relevant literature, to the school management’s adoption of the model of pedagogical leadership as well as to the assurance of a series of factors that influence it. This study aims at investigating the pedagogical role of the principal in Greek primary schools. Data were collected through an anonymous questionnaire completed by 133 Greek primary school head teachers. Results show that head teachers consider that their pedagogical role has mainly to do with the pedagogical climate, psychosocial and pedagogical guidance of the school unit. Additionally, the research results show that head teachers carry out their pedagogical role cooperating and communicating mainly with the members of the educational community of the school. Another noteworthy finding of the present study is that the factors that support head teachers in their pedagogical leadership role, are hard to exist in hierarchical educational realities such as Greece. The originality of the paper draws attention to the school's socio-economic environment, which significantly influences school leadership. Conclusions on the implications of the study are made and directions for future research are suggested.

We propose a plan to facilitate the development of backward constituent skills within a complex learning process through the manipulation of emphasis sequencing. To achieve this, we utilized perceptual offloading cues as supportive information in emphasis sequencing, taking into consideration principles of information processing and cognitive loads. We examined changes in cognitive loads (intrinsic load, extraneous load, and germane load) as the complexity of each component increased. Our sample included 56 college students from Gyeonggi-do province who were tasked with completing a series of progressively complex PowerPoint functions, focusing on the acquisition of constituent skills. The experiments were conducted over five sessions, with cognitive load measurements taken after the fourth session was concluded. Learning transfer was evaluated by collecting and assessing the students' work at the end of the fifth session. The results demonstrated significant effects of emphasis manipulation sequencing in reducing cognitive load and facilitating the learning transfer process. The use of offloaded perceptual cues in this manner proved to be an effective strategy for enhancing the development of constituent skills learned through emphasis manipulation sequencing, while effectively managing and minimizing cognitive load in complex learning scenarios.

As the globe gradually entered the post-pandemic phase, electronic portfolio practises during the COVID-19 pandemic should be examined for future implementation. During the lockdown, electronic portfolio use was observed in higher education institutions by urging the provision of teaching and learning in a virtual mode. Under these conditions, the study analyses empirical e-portfolio practices and proposes a co-design model for effective e-portfolio implementation. This study is based on a systematic review, which included searching for and retrieving 221 papers from academic paper databases in English, Chinese, and Spanish; systematic screening using the Rayyan tool and the PRISMA model; and finally, extracting 12 publications, which were analysed by VOS Viewer and Nvivo, focusing on collaboration. The data collected allows for gathering several patterns of collaboration in e-portfolio practice. Based on the results obtained, a co-design strategy is suggested, which includes collaborative frameworks in e-portfolio implementation processes such as the community of inquiry (CoI) and community of practice (CoP). The co-design strategy provides the formulation of implementation recommendations related to collaborative e-portfolio. Conclusions reflect on utilising e-portfolios collaboratively in higher education settings by presenting a co-design strategy that is supported by the CoI and CoP frameworks.

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.

Knowledge-based economy is an economic model students need to be prepared for a future economic model that uses knowledge as its main resource. Therefore, this study developed and validated instruments for constructing knowledge-based economy readiness among undergraduate students. This study used an online questionnaire with 120 respondents of economic education students in educational universities in East Java, Indonesia, for exploratory factor analysis and 417 respondents for confirmatory factor analysis. Then, statistical analysis was conducted using exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. This study first developed five factors of knowledge of economics, readiness for economic challenges, readiness for education, readiness for infrastructure, and readiness for innovation, consisting of 27 items. However, one item was removed because the loading factor was below .50. Consequently, 26 items were retained because the loading factor was significantly greater than .50. The Cronbach's alpha value for each item of the knowledge-based economy readiness construct was >.60 and met all goodness of fit index criteria, which means that it meets the requirements and can measure the construct of knowledge-based economy readiness. Since this study meets the validity and reliability requirements of the constructs leading to knowledge-based economy readiness, these results will help students prepare for the current and future knowledge-based economy. They can be used in developing economic education curricula in higher education.

This study explores the impact of gender on the preferred English language learning strategies of self-perceived introverted students in Vietnam, given the burgeoning role of English as an international lingua franca. A mixed-methods approach, involving survey questionnaires and follow-up interviews, was utilized to gather both quantitative and qualitative data from a cohort of 68 English major undergraduates, 29 of whom self-identified as introverted via the Myers-Briggs Type Indicator (MBTI). The investigation provides a comprehensive understanding of the preferred language learning strategies among introverted learners, and specifically examines how gender influences these strategic choices. The results reveal that gender does not present significant differences in the preferred English language learning strategies of self-perceived introverted individuals. Regardless of gender, introverted language learners demonstrate a tendency towards compensation learning strategies, with specific strategies such as deductive reasoning, organizing physical environs, and error rectification receiving almost identical responses from both male and female participants. These findings suggest that the role of personality traits, such as introversion, should be considered in tailoring pedagogical approaches to meet individual learning preferences and needs. Further research is needed to explore this area in greater depth and to examine its broader implications for English language teaching pedagogy.

The iNaturalist application has been gaining traction in both biodiversity research and education. Increasingly more research is being carried out, looking into using the iNaturalist application in biology education, to promote biodiversity and educate students about this topic. We used the PRISMA systematic literature review method to examine research carried out using the iNaturalist application in biology education by searching Web of Science and Scopus, and including citizen science in the process. We searched through the iNaturalist forum, where users contribute research performed using iNaturalist. We found that an increasing number of articles have been published on this topic over the years. Researchers are using iNaturalist to improve BioBlitz activities, to enhance outdoor education activities, and to help make herbaria. Summarizing the work performed in this area, we suggest guidelines for including and preparing the iNaturalist application in a school context to be used by teachers and researchers alike.

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.

This research article focuses on the design and validation of a questionnaire to analyse future teachers' perceptions of professional skills through the use of Augmented Reality (AR) in higher education, specifically for students in the field of Educational Sciences. The sample consisted of 575 students of Early Childhood Education, Primary Education and Pedagogy during the academic year (2021/2022). The focus of this study is to authenticate a questionnaire that measures the influence of Augmented Reality (AR) on aspects such as situated learning, motivation, and the necessary instructional preparations for the successful integration of AR within classroom educational encounters. The questionnaire is an online Likert-type scale developed based on three dimensions: situated learning, motivation and training. The data were analysed using the Statistical Package for the Social Sciences (SPSS) version 25 and JASP 0.17.1. The questionnaire met the standards recommended for validation. However, improvements to the instrument are suggested. In conclusion, validation of instruments is necessary to gain a rigorous understanding of the impact of new learning environments.

The purpose of this study was to classify the active job behaviors of Generation Z (Gen Z, born after 1995) elementary school teachers and investigate relevant variables that significantly affect such a classification. A total of 375 Gen Z elementary school teachers who passed the National Elementary Teacher Qualification Test and had worked in elementary schools in South Korea participated in this study. The data collected identified the types of active job behaviors among Gen Z elementary school teachers using cross-tabulation through Latent Profile Analysis (LPA). A multinomial logistic regression analysis was conducted to identify the predictors that influence the types of active job behaviors of Gen Z elementary school teachers. The results were as follows: First, there are four types of active job behaviors of Gen Z elementary school teachers: Ideal, relational, non-participatory, and passive job performance types. Second, teacher efficacy, learning agility, organizational commitment, and principals’ transformational leadership influenced the types of active job behaviors of Gen Z elementary school teachers. The results offer insights into the human resource management of Gen Z elementary school teachers and have significant implications for improving the active job behavior of Gen Z elementary school teachers.