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.

In teaching, students' representations could constitute an obstacle to the construction of scientific knowledge and are often considered stable cognitive structures whose organization is sought to be inferred through questionnaires and interviews. This study aims at identifying and analyzing high school students’ representations related to the concept of biodiversity. To meet this objective, a semi-structured interview and a questionnaire were used to collect data. 202 Moroccan students participated in this survey (46.5% from rural areas and 53.5% from urban areas of the "Direction Provinciale" of education of Guelmim city in Morocco). The results of the interview indicated that only 1.82% of the students gave a definition that consists of the three biodiversity dimensions, namely the species, the ecosystems, and the genetic diversity. The questionnaire results revealed a low to medium correlation between their representations and their acquired knowledge related to the concept of biodiversity dealt with in Moroccan school programs (from the discipline of "scientific activity" in the primary cycle and that of "life and earth sciences" in the secondary cycle). The results further indicated a low presence of supervised activities related to biodiversity within the school and therefore a low degree of influence on the students' representations. It was concluded that there was no effective transmission or adequate assimilation of the concept of biodiversity among the students surveyed.

Interculturality, inclusion, and diversity are generally associated with bilingualism in countries with different socio-cultural identities, but rarely with school coexistence among students hailing from different backgrounds. The present systematic review is framed in a descriptive-qualitative approach since its main objective is to provide an account of the relationship between welcoming, school coexistence, and the integration and inclusion processes in schools in countries receiving foreign migrant families. For this purpose, Web of Science, SCOPUS, EBSCO, and SCiELO databases were searched using a reference chain, and according to search results, 26 empirical studies retrieved from those databases published between 2010 and 2020 were analyzed. The main findings indicate that the inclusion process is developed through the acculturation and disciplining devices of foreign children to the dominant national logic, which marks a hierarchical difference between nationalities. They also highlight the recognition of cultural diversity under the logic of folklorization and a vision that focuses on academic achievement rather than on the particularities that cultural diversity can contribute to social relations and learning within the school.

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.

The objective of this study was to develop a measure that possesses both reliability and validity in order to evaluate innovative thinking within the realm of education. To achieve this, the instrument's validity and reliability were evaluated through quantitative methods in two distinct phases. A team of educational experts conducted the process of establishing content validity and ensuring that the items on the instrument accurately reflected the intended constructs of creative thinking. Following that, the assessment of concept validity was conducted using confirmatory factor analyses. The aforementioned investigations resulted in the discovery of a five-factor solution consisting of 25 elements, all of which demonstrated scores beyond the crucial threshold. This successful outcome confirmed the presence of distinct factors representing different dimensions of innovative thinking. The study enrolled 1250 students from vocational education institutions as participants. The data obtained from the participants was subjected to principal component analysis and confirmatory factor analysis, leading to the development of a model that exhibited a good match with the empirical data. This indicated the effectiveness of the developed instrument in measuring innovative thinking capacity. In conclusion, the research effectively developed an accurate and dependable tool for evaluating innovative thinking in the realm of education. The gathering of positive data from the participants and meticulous quantitative analyses were responsible for this.

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.

Multicultural education is expected to improve the frameworks of educational institutions so that students from various ethnic, racial, cultural, and linguistic groups have equal academic accomplishment possibilities. It is essential for English as a foreign language (EFL) learners and teachers in Indonesia since English has its own culture. This research aims to comprehend the practices of multiliteracies in incorporating multicultural education in extensive reading classes. This investigation used a qualitative case study using observation and in-depth interviews to collect data from the lecturer. The results showed that the lecturer incorporated all aspects of multicultural education in multiliteracies practices using a novel. While generating cultural value from students’ life experiences, the researchers discovered content integration, knowledge scaffolding, equity pedagogy, bias degradation, and empowerment of school culture. Multiliteracies practices can serve as an innovative teaching technique to promote multicultural education. Additionally, EFL lecturers need multicultural learning materials to support this and to encourage students to think critically.

This qualitative study explored the possibility of implementing the happy school model (HSM) in the context of Vietnamese higher education, with a focus on the socio-cultural perspectives of nine tertiary English as a foreign language (EFL) teachers at different career stages. Through semi-structured interviews, thematic analysis, and theoretical underpinning by constructivist paradigm and humanistic education theory, the study illuminated multifaceted insights. Key themes emerged, including aligning the HSM with holistic student development, recognizing challenges and potential benefits, balancing traditional Confucian values, and adapting the model to Vietnam’s unique socio-cultural and economic landscape. The findings provide valuable guidance for educational innovation in Vietnam, highlighting complexities of aligning a new educational paradigm with existing practices and cultural norms. While the study’s focus on a specific cultural context and limited participant pool presents certain limitations, the insights offer rich contributions to the broader global dialogue on education and human development. Future research directions and practical implications are also discussed, making this study a valuable resource for educators, policymakers, and researchers interested in the intersection of universal educational principles and specific cultural contexts like Vietnam.

Examining the academic locus of control, procrastination, and school satisfaction is crucial for understanding student well-being and educational outcomes. The purpose of this study was to explore the potential mediating role of academic procrastination in the association between academic locus of control and school satisfaction in a sample of adolescents (N = 628; X̄ = 13.30, SD = 1.74) residing in various regions of Azerbaijan. The results revealed that higher levels of internal locus of control were positively related to school satisfaction, while increased levels of external locus of control were negatively associated with school satisfaction. The analysis using structural equation modeling showed that school satisfaction was partially influenced by academic procrastination, which acted as a mediator in the relationship between internal locus of control and school satisfaction. Additionally, academic procrastination fully mediated the relationship between external locus of control and school satisfaction. These findings were further discussed in the context of existing literature, and recommendations were provided for future research in this area.

This study sought to examine the influence of transcription skills, evaluated using graphonomic measures, on the proficiency of text generation in students attending primary schools in Spain. A longitudinal design was employed involving 278 Spanish students distributed across three cohorts (cohort 1: 1st-2nd-4th grade; cohort 2: 2nd-3rd-5th grade; and cohort 3: 3rd-4th-6th grade). Two data collection points were used to administer the graphonomic measures, and a composition letter task was conducted at the conclusion of the study. Four multigroup structural equation models were employed, examining the direct pathways from graphonomic measures (i.e., pressure, speed, pauses, and road length) on text generation (i.e., length, fluency, planning, revision, and organization). The models demonstrated a good fit to the data. The findings from the four models, analyzed within the three cohorts, indicated that the significant effect of transcription (i.e., handwriting) on text production was primarily observed in Cohort 1 (early grades), while no significant effects were found in Cohort 2 (intermediate grades). This suggests that the importance of handwriting in text production in a transparent orthography may be more pronounced during the initial stages of writing development when students are acquiring foundational writing 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.

Increasing the number of entrepreneurs is not just a school task, it requires joint work between educational institutions and the community. Using structural equation modeling, this research aims to investigate the role of community in promoting entrepreneurial careers for students, by adding achievement motivation, entrepreneurial attitudes, and entrepreneurial intentions as predictor variables. The population of this research was high school students in urban areas, and the sample was taken based on convenience sampling, with a total of 300 students participating. Data were analyzed using EFA, CFA, and structural model evaluation using SPSS 24.0 and AMOS 24.0. The research results show that all hypotheses are accepted, meaning that community support influences students' entrepreneurial career choices, as do other predictor variables. This study can provide guidance for developing educational strategies and policies that support the development of young entrepreneurs in the future, through predictor variables.

Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP) evaluation model to confirm the factor structure or dimensions of several observed variables (items) to evaluate the reliability and validity of the CFS policy evaluation tool in elementary schools. The validity and reliability of previously created instruments are evaluated quantitatively, but this study utilises different subjects and study sites. There were 320 respondents, with 145 school principals and 175 teachers taken randomly. Confirmatory factors analysis (CFA) results show goodness of fit (GOF), and the model is acceptable. The CFS evaluation instrument can be accepted after eliminating several question items and modifying them. All items of the teal instrument meet the goodness of fit criteria in terms of chi-square and root mean square error of approximation (RMSEA). The instrument for evaluating CFS policies in primary schools using the CIPP model has met a valid and reliable psychometric property test so that it can be applied.

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.

This study illustrated an alternative way to evaluate students’ academic learning. It involved the joint and intertwined application of the natural semantic network technique, computer simulations, and semantic priming experiments to assess the cognitive changes in knowledge structures due to academic learning in two groups of psychology students. The experimental group was enrolled in a course on computational cognition, while the control group was oblivious to this course. The results indicated that the cognitive assessment tools discriminate the cognitive changes produced as a result of general training undertaken in a psychology degree versus the influence of a specific course. After the course, the experimental group increased their technical vocabulary, changed their conceptual valuation of definers related to computational theories of mind, and reorganized the relations among definers according to the computational cognition approach. Also, this group presented a higher connectivity index between the concepts of the semantic network, their conceptual activation level and conceptual co-activation pattern changed, and their access level to the evaluated schema’s concepts improved. In contrast, the control group did not show significant changes in their cognitive patterns after the course. These findings suggest that cognitive tools may be helpful in the diagnosis of academic learning.