Critical thinking is highly valued as an integral skill for promoting students’ development, and problem-based learning (PBL) is widely used as an essential method to facilitate the development of critical thinking. However, since individual studies cannot determine the precise overall effect size of PBL on the development of critical thinking, it is difficult to systematically analyze the various influencing factors that hinder PBL from achieving sufficient effectiveness. Therefore, this study adopts a meta-analysis method to examine PBL in depth, aiming to clarify the crucial methods and elements of applying PBL to enhance critical thinking and address the shortcomings of existing studies. This study investigates two primary questions: first, the efficacy of PBL in enhancing critical thinking skills in comparison to traditional pedagogical approaches, and second, the influence of moderating variables on the effectiveness of PBL. To address these questions, a total of 25 studies were selected for meta-analysis. The findings revealed an overall effect size of 1.081 under the random-effects model, with a confidence interval of [0.874, 1.288] and p < .05, indicating that PBL significantly outperforms traditional methods. The analysis demonstrated that the effectiveness of PBL is not significantly influenced by learning stage, sample size, or measurement tools, thereby broadening the applicability of PBL and challenging preconceived limitations associated with its implementation. However, the results also indicated that PBL effectiveness is moderated by teaching methods and subject types, which offers critical insights for educators seeking to adapt their instructional strategies when employing PBL.

Integrating generative artificial intelligence (GenAI) in education has gained significant attention, particularly in flexible learning environments (FLE). This study investigates how students’ voluntary adoption of GenAI influences their perceived usefulness (PU), perceived ease of use (PEU), learning engagement (LE), and student-teacher interaction (STI). This study employed a structural equation modeling (SEM) approach, using data from 480 students across multiple academic levels. The findings confirm that voluntary GenAI adoption significantly enhances PU and PEU, reinforcing established technology acceptance models (TAM). However, PU did not directly impact LE at the latent level—an unexpected finding that underscores students’ engagement’s complex and multidimensional nature in AI-enriched settings. Conversely, PEU positively influenced LE, which in turn significantly predicted STI. These findings suggest that usability, rather than perceived utility alone, drives deeper engagement and interaction in autonomous learning contexts. This research advances existing knowledge of GenAI adoption by proposing a structural model that integrates voluntary use, learner engagement, and teacher presence. Future research should incorporate variables such as digital literacy, self-regulation, and trust and apply longitudinal approaches to better understand the evolving role of GenAI inequitable, human-centered education.

Research in mathematics education and interdisciplinarity is varied and extensive, covering multiple approaches that reflect a growing interest in this type of perspective. The objective of this study is to systematize the findings of research on interdisciplinary mathematics education published between 2019 and 2024. The review was carried out following the guidelines of the PRISMA statement, allowing us to identify 49 articles published in journals indexed in the Web of Science (WOS) and Scopus databases. Subsequently, a content analysis was carried out to identify methodological and theoretical aspects present in the studies reviewed, such as methodology employed, education level of participants, disciplines integrated with mathematics, and types of interdisciplinary tasks proposed. Additionally, four main research themes were identified: (a) understanding of interdisciplinarity; (b) pedagogical strategies for interdisciplinary development in mathematics education; (c) interdisciplinarity for the development of mathematical skills; and (d) professional development of mathematics teachers. The results reveal a sustained increase in the number of publications, which reflects a growing interest in the interdisciplinary approach in mathematics education. Finally, several challenges and opportunities are highlighted for future research, including the need to develop an interdisciplinary teacher training model, the creation of pedagogical strategies that promote greater interconnection between disciplines, and the need to carry out more studies focused on early childhood and primary education in this area.

Open schooling is a recent educational approach that has been recently introduced in European policies, so the literature on its transfer to the education system is still limited. The aim of this study is to configure an overview of how open schooling has been implemented in science education in terms of its definition, the topics addressed, the pedagogical aspects considered, and the benefits obtained for the teaching-learning processes. A systematic literature review was carried out using the PRISMA 2020 methodology, in which 27 documents published between 2015 and 2024 were analysed. Open schooling is defined mainly as an approach in which students, teachers, and other stakeholders, especially students’ families, collaborate to provide solutions to real-life issues in search of the community’s well-being. The open schooling experiences usually addressed environmental and health issues through scientific practices and contextualization mainly, developing activities of data collection, synthesis and analysis, dissemination, and information and communication technologies with the students. Companies and local businesses are the preferred stakeholders involved, followed by experts and researchers. Questionnaires are the preferred instruments for data collection, and the documents analysed report benefits for students’ learning and motivation and also for teachers and schools. 

This study examines teachers’ perceptions of assessment and their relationship with instructional practice in primary education. It examines whether teachers perceive assessment as a tool to support student learning and development or as a mechanism for ensuring educational quality through teaching evaluation and exam preparation. The research is based on a survey conducted with 396 primary school teachers in Croatia, including both lower and upper grades. Descriptive statistics, Pearson’s correlation coefficients, multiple regression analysis, and one-way ANOVA were employed to analyze the data. The findings indicate a statistically significant correlation between teachers’ perceptions of assessment and the assessment strategies they implement in the classroom. Formative assessment is widely supported, yet summative methods remain prevalent. Lower primary teachers apply formative strategy more frequently than their upper primary counterparts. Teachers with mentor status demonstrate a stronger inclination toward student-centered assessment practices and report applying them more consistently. The results highlight the prevalence of a hybrid assessment model in which teachers balance formative and summative approaches, seeking to meet institutional requirements while simultaneously supporting student development. The findings underscore the need for continuous professional development and systemic support to empower teachers in adopting assessment practices that effectively enhance student learning and elevate educational quality. Training programs should be designed to address the specific needs of primary teachers, recognizing differences between lower and upper levels, as well as subject-specific requirements in grades 5 through 8. A targeted approach would facilitate the effective integration of contemporary assessment strategies into everyday teaching, supporting student progress and educational improvement.

This study examined the impact of reading journals on the development of English as a foreign language (EFL) reading comprehension and engagement, while also analyzing participants' perceptions of the learning process. A mixed-method design was applied to a sample of 80 second-year senior high school students (aged 15–18) with A2 proficiency. Using a quasi-experimental approach, participants were divided into an experimental group that kept journals and a control group that followed traditional instruction. Data were collected through pre- and post-tests, student questionnaires, and thematic analysis of the journals. Results showed significant improvements in reading performance among students in the experimental group. Students also reported better vocabulary retention, improved ability to identify main ideas, and greater confidence. Reflections revealed increased engagement, critical thinking, and autonomy. However, learners faced challenges such as complex grammar, summarization, and time constraints. Overall, the findings suggest that reading journals can be an effective strategy to support EFL reading comprehension and foster deeper interaction with texts.

The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.

Home economics education connects multidisciplinary knowledge and is crucial in addressing the challenges of changing society at the individual and family levels. For quality home economics education, pupils need to acquire knowledge and skills based on the fundamentals of home economics literacy, content, and goals defined in the curriculum for this subject. Our research aimed to establish the needs and perspectives of teachers, pupils, and parents regarding the importance and utility of home economics education. Areas of home economics to be included in the subject’s curriculum were identified, based on the perceived needs of pupils, parents, and teachers. The Delphi methodological approach was used. The first round of the Delphi study involved 30 teachers, 34 9th-grade pupils, and 34 parents of 9th-grade pupils, and its second round involved 16 teachers, 33 9th-grade pupils, and 29 parents of 9th-grade pupils. Survey results showed that by the end of elementary school, pupils in their home economics classes had acquired knowledge and skills in the economic and financial area, as well as in environmental and consumption, textiles, nutrition, health and well-being, social skills, and family and home. Although individual groups of respondents differed in the perceived importance of particular home economics areas, the respondents considered it important that pupils acquire home economics knowledge and skills in all identified areas. The Delphi research method proved to be an adequate method to identify the areas of home economics education that are important for a quality of life in modern society and need to be included in the home economics curriculum.