Search

Science, technology, engineering, and mathematics (STEM)-integrated project-based learning (PBL) is essential in contemporary education as it improves students’ advanced cognitive capacities, critical thinking aptitude, scientific literacy, and ecological awareness. This study aims to identify and highlight some research publications that examine STEM-integrated PBL to improve students’ biology practical skills in higher education. The author guided the systematic review process with the preferred reporting items for systematic reviews and meta-analyses diagram, ensuring a structured approach to article selection. The author selected 24 potential articles for the literature review based on certain inclusion criteria. The chosen articles emphasize the importance of evaluating STEM-integrated PBL to improve biology practicum skills among students in higher education, highlighting the need for quantitative methods such as descriptive surveys and experiments in research. The research article’s findings show a positive trend toward improving educational practices in biology through the integration of STEM in PBL, with a growing body of literature focusing on this area. The findings of this study offer valuable insights for educators to improve students’ biology practical skills in higher education.

Abstract A significant teacher shortage exists in the US, particularly in STEM teaching fields. Professionals in STEM fields make higher wages while teachers manage intense and challenging work conditions. Teacher dissatisfaction and shortage negatively impacts students’ learning outcomes. This paper examines how teacher self-efficacy developed for university science, technology, engineering, and mathematics (STEM) majors who participated in an internship and the shifts in their career path decisions to teaching STEM. Self-efficacy in potential teachers is key to future teachers’ perception of lowered levels of emotional exhaustion and higher job satisfaction influencing their transition to the teaching profession This study identifies how STEM major interns developed multiple sources of self-efficacy that transitioned half of the intern’s career choice to enter teaching STEM fields. Results reveal early exposure to teaching experiences and responsibilities influenced the decisions of the STEM majors to enter the teaching profession. This study contributes to teacher self- efficacy with insights into how early teaching experiences cultivate self-efficacy. Mastery teaching practice in authentic settings through the internships built self-efficacy. Additionally, relationships with peers as co-teaching assisted interns to develop their teaching self-efficacy. Findings point to lessons learned from curriculum and instruction in STEM teacher education that bridges research and practice for STEM education improvement and demonstrate teacher education programs benefit from early, authentic field-based experiences which motivate STEM majors’ desire to teach. It is crucial for future students to uncover how teacher-efficacy is developed for STEM teachers and their decisions to teach and persist in the teaching profession.

Over the past decade, there has been an intensified emphasis on STEM education to correspond with the goals of twenty-first century education. Educators play a vital role in executing a cohesive approach to interdisciplinary teaching and learning; hence, considerable focus has been directed towards the elements influencing teachers’ attitudes. The study aimed to provide empirical evidence illustrating the significant influence of teachers’ readiness on predicting attitudes. This was achieved by developing a conceptual model that explores the factors affecting individuals’ attitudes towards teaching STEM courses. The emphasis was put on self-efficacy, commitment, cognitive readiness, emotional readiness, and teaching attitudes. A total of 494 Greek primary and secondary education teachers participated electronically in the survey, answering according to the TRi_STEM and TASET scales. The validity of the conceptual model was evaluated using a structural equation model (SEM). The results demonstrated a positive association among all six factors. More notably, general attitudes towards teaching impact positively, either directly or indirectly, the four readiness variables and, finally, teachers’ attitudes towards STEM education. The current study contributes to the existing body of the literature by identifying and analyzing critical attributes that substantially impact teachers’ attitudes towards teaching STEM courses.

In this practice report, we present a practical experience of a virtual exchange carried out by a Belgian and a Brazilian professor from two research intensive universities in Northwestern Europe and in Latin America, respectively. Particularly, this paper is focused on how we designed a common syllabus in a specific topic of STEM, aiming to explore math and computer science skills of the students, and how we implemented this virtual exchange step by step, despite the students being from different courses and different levels of degree. In addition, we discuss the pros and cons of the process from the instructors’ perspective as well as under students’ views, and provide some suggestions to be applied and tested for future virtual exchanges in this field. Overall, this practice report reinforces our deep reflection about the results and desire to share our STEM syllabus to encourage other colleagues to apply it (or modify it) for different courses.

Abstract Scientific practices describe behaviors scientists engage in while investigating the natural world. Educators should be aware of different science practice frameworks to better understand their students' progression for learning science practices across the K-20 spectrum. For example, a high school AP instructor would benefit from understanding both the K-12 frameworks their students have already experienced and the future undergraduate frameworks their students are moving toward. We were interested in exploring educator familiarity with the scientific practices outlined in the Next Generation Science and Engineering Practices, the Advanced Placement Science Practices, and Vision & Change Core Competencies. In practice, all science educators are teaching the same set of core principles around which these different frameworks are built. Under this view, it is a missed opportunity to not consider or draw on different frameworks to expand one’s teaching practice. Using a cognitive constructionist approach, we describe the implementation of the “Science Practice Frameworks Concept Map Activity,” designed to (1) introduce educators to scientific practices contained within Science Practice Frameworks and (2) show educators that despite these science practices targeting different student populations they are, at their core, very similar and often overlap. We present data showing a positive shift in educator familiarity with Science Practice Frameworks and present examples of participant concept maps that help us begin to understand how educators perceive the frameworks and the relationships between them, ensuring that educators are better prepared to guide students through a comprehensive understanding of science practices.

Abstract Collaborative problem-solving (CPS) skills are recognised as an essential aspect of 21st century skills and STEM education. In the STEM framework, students’ CPS skills in the learning process need to be appropriately monitored, yet assessment tools for students’ CPS skills are currently not widely developed in chemistry. This study aimed to develop and validate the assessment tool for measuring high school students’ collaborative problem-solving skills in chemistry (CPS-C). Fifty-two students participated in the assessment, which included tasks on Coke Titration, Fruit Battery, and Soap Making. The data were analyzed using Multidimensional Item Response Theory (MIRT) models and the Generalized Partial Credit Model (GPCM). The results indicated that the CPS-C tool showed good internal consistency and item fit. Additionally, ten students were interviewed, and the interview content was analyzed using MAXQDA, emphasizing the importance of providing clear and concise instructions, reducing the number of tasks, and offering meaningful and relevant options. Moreover, this study also validated the reliability of cognitive ability tests, mental load and effort tests, and interest and motivation tests. The results showed satisfactory reliability for all tests except for the mental load and effort tests, which had a lower reliability coefficient of 0.68. Despite some limitations, the CPS-C tool showed great potential for effectively assessing CPS skills. Further research is needed to validate the tool’s effectiveness and reliability across larger, more diverse samples and different cultural contexts.

Abstract The pervasive digitization of society underscores the crucial role of data and its significant impact on decision-making across various domains. As a result, it is essential for individuals to acquire competencies in handling data. This need is particularly pertinent in K-12 education, where early engagement with data and statistics can lay a foundational understanding for future academic and professional endeavors. Additionally, K-12 education should provide students with critical skills necessary for navigating the complexities of daily life and making informed decisions in a data-rich society. This systematic review examines the state of research on statistical and data literacy in K-12 STEM (Science, Technology, Engineering, and Mathematics) education. It focuses specifically on cognitive, affective, and behavioral metrics and pedagogical approaches empirically investigated in this context. Using a rigorous selection process, we identified and synthesized 83 original empirical papers. Additionally, we invited the authors of these studies to share their perspectives on future strategies for addressing statistical and data literacy. The results indicate that the included studies primarily focus on the construct of statistical literacy, which is operationalized through a diverse array of metrics, predominantly within the context of mathematics education. We identified effective pedagogical approaches, such as authentic problem-solving and the integration of real-world data. The researchers surveyed emphasized the importance of interdisciplinary teaching, adapted curricula, and improved professional development for pre- and in-service teachers. Our findings underscore the growing relevance of this field, but suggest that integrated perspectives on statistical and data literacy within STEM subjects are limited.

Abstract Background Integration of digital tools and resources in STEM instruction has garnered significant attention due to its high potential. Digital professional development is identified as a pivotal factor for equipping teachers with necessary digital skills to effectively orchestrate digital resources. Notably, the role of professional learning communities is considered critical. However, the intricate relationships among digital professional development, professional learning communities, and digital instructional integration among STEM teachers remain underexplored. Utilizing partial least-squares–structural equation models (PLS–SEM), the present study examined links in digital professional development, professional learning communities, and digital instructional integration among STEM teachers (N = 16,072) who participated in the Programme for International Student Assessment (PISA) 2022. Results Findings from the PLS–SEM analysis indicate that digital professional development exhibits a direct positive relationship with professional learning communities and digital instructional integration. Relatedly, professional learning communities is positively correlated with digital instructional integration. In terms of indirect effect, findings show that professional learning communities play a significant positive mediating role in linking digital professional development and digital instructional integration. Conclusions This study reports new evidence on the influence of digital professional development on digital instructional integration through professional learning communities among 16,072 STEM teachers and concludes that, when STEM teachers regularly immerse themselves in professional learning communities, they are more likely to benefit from their digital professional development by integrating digital technologies in classroom instruction. Policymakers and educational leaders should consider promoting digital professional development and professional learning communities among STEM teachers, along with efforts to encourage digital instructional integration.

Abstract This study investigated the impact of two teaching strategies, conventional and drawing principle, associated with the use of Augmented Reality (AR), on the school performance of pupils in the 7th-year of primary school and the 10th-year of secondary school on volcanism learning. Compared to previous research, the novelty of this study lies in the comparative analysis of these two teaching strategies and their association with AR applications. Four classes from the 7th-year and two from the 10th-year were studied, following a quasi-experimental design, with two control classes and two experimental classes in the 7th-year, and one control class and one experimental class in the 10th-year. The Classical Theory of Tests was applied to analyse the evidence of knowledge evaluation on volcanism, used in all groups in post-test and follow-up. Descriptive and inferential statistics, including Student’s t-test, were conducted for paired and unpaired groups after determining the normality and homogeneity of variance of the samples. In the 7th-year, students who used the drawing principle as a learning strategy performed better compared to those who used conventional teaching. When the drawing principle was associated with the use of AR, students achieved better results in the follow-up test. In 10th-year students, the results consistently showed better performance when the conventional teaching strategy was associated with the use of AR.

Abstract Student-created videos engage students’ interests, creativity, and content knowledge and enrich collaborative learning in STEM education. These videos enhance critical thinking and analytical skills, which are essential tools in the fields of science, technology, engineering, and mathematics (STEM). This study presents the results of such an assignment across several STEM areas (biology, chemistry, exercise science, information technology, and mathematics) at a minority-serving, liberal arts higher education institution in the southeast region of the United States. Undergraduate students (n = 557) across varied, online course modalities (synchronous and asynchronous) were required to create four problem-solving videos 3–8 min in duration. Assessment tools included a self-assessment of learning gains survey given to control and experimental groups and a post-video creation survey given only to experimental groups. Grade data was also collected from all sections. Comparing the experimental and control groups, students showed a statistically significant gain in their ability to give oral presentations, create videos, and edit videos. Qualitative data from free-response questions corroborate these gains and suggest that students also grew in content knowledge and conceptual understanding through these assignments. Our study implements a multimedia theoretical framework which suggests students learn more effectively from consuming presentations with both auditory and visual components. Our results suggest students see similar gains from producing presentations with both auditory and visual components. Further our results suggest that multimedia production enhances students’ presentation skills. From a practical perspective, this study suggests that faculty should incorporate student-created videos in online classes, which typically require oral presentations in person. Faculty are also advised to require oral and visual components within these videos to maximize learning gains from the perspective of a multimedia theoretical framework.

Abstract Quality science education is crucial in preparing students for real-world challenges by fostering scientific literacy and critical thinking skills. Field trips and work immersion programs support this goal by providing hands-on experiences and real-world applications of scientific concepts, thereby enhancing student engagement and understanding. This autoethnographic study explores the management of school field trips and work immersion programs, emphasising their impact on student engagement and learning outcomes. Through personal experiences and reflective practices, I examine the logistical planning, risk management, and curriculum alignment necessary for successful implementation. The findings highlight how these programs enhance students’ understanding of scientific principles, foster critical thinking, and encourage STEM career interests. Key strategies include collaborative planning, flexibility, and ongoing evaluation, providing insights into optimising educational programs and bridging the gap between classroom learning and real-world application.

STEM education has gained significant attention in educational systems, and integrating mathematics into STEM education is a crucial issue in mathematics education. As teachers are considered highly influential in the educational process, we aimed to identify mathematics teachers' perceptions of teaching mathematics topics within the context of STEM education. We employed a mixed-methods sequential explanatory design. The quantitative sample included 248 mathematics teachers (99 males and 149 females) from the Bisha Governorate in Saudi Arabia. A questionnaire encompassing three dimensions (teachers' perceptions of teaching competence, teachers' perceptions of student interaction and motivation, and teachers' perceptions of the suitability of mathematics textbook content) was used to collect data, and its validity and reliability were verified. Qualitative data were gathered through interviews with eight participants. The results showed that mathematics teachers' perceptions of teaching mathematics topics based on the principles of STEM education were positive at the "agree" level, with an overall mean of 2.41. The dimensions were ranked as follows: Teachers' perceptions of their STEM teaching competence (M = 2.49), perceptions of the suitability of mathematics textbook content for STEM-based practice (M = 2.47), and perceptions of their students' interaction and motivation when teaching mathematics in line with STEM (M = 2.26). There were no statistically significant differences in perceptions due to gender, teaching experience, or educational stage. The qualitative findings attributed the positive perceptions of teaching competence to factors such as the integration of technology and the inherent connections between mathematics and other subjects. However, designing STEM-integrated tasks was challenging due to lack of STEM training and knowledge. Limitations in student interaction were linked to students' limited understanding of STEM, teachers' beliefs, and students' weak mathematics skills. The participants viewed textbook content positively, citing STEM-related components.

With the goal of education aimed at sustainable development as reflected in the 2018 General Education Program, schools in general and the subject of physics in particular need to educate students to raise awareness about energy issues and how to use energy efficiently, safely, and reasonably. Therefore, this report presents the research results on building the STEM topic “Energy” in blended learning, contributing to sustainable development education. The research results propose a process of blended learning stages and the development of teaching materials to support teachers in teaching STEM topics about energy, helping students develop competencies and the ability to cope with future challenges.

Abstract Background Instructional videos have been increasingly critical to afford effective learning experiences in online courses, but most videos follow a lecturing monolog delivery format. This format tends to lead students to observe the videos passively. Previous laboratory studies have indicated that observing dialog videos of an instructor tutoring a tutee enhances student learning more than watching monolog videos of the same instructor lecturing. This paper describes two empirical studies that replicated the laboratory findings in large-scale college-level online STEM courses. Results The results show that observing dialog videos of tutoring led to superior learning outcomes compared to monolog videos of lecturing, regardless of whether students observe the videos individually or collaboratively, as long as they engaged generatively with the materials. This finding was confirmed across two tested STEM domains. Conclusions The findings of these classroom studies suggest that observing dialog tutoring videos is a novel and robust online instructional format that can be generalized across STEM domains. The benefit of overhearing tutorial dialogs requires students to engage in Constructive and Interactive behaviors, as defined by the ICAP framework, rather than exposing students to long didactic lectures.

Abstract This study aimed to analyze articles published in the Web of Science database from 2012 to 2021 to examine the educational goals and instructional designs for STEM education. We selected articles based on the following criteria: (a) empirical research; (b) incorporating instructional design and strategies into STEM teaching; (c) including intervention; (d) focusing on K-12 education and on assessment of learning outcomes; and (e) excluding higher education and STEAM education. Based on the criteria, 229 articles were selected for coding educational goals and instructional designs for STEM education. The aspects of STEM educational goals were coded including engagement and career choice, STEM literacy, and twenty-first century competencies. The categories of instructional designs for STEM education were examined including design-based learning, inquiry-based learning, project-based learning, and problem-based learning. The results showed that engagement and career choices and STEM literacy were mainly emphasized in STEM education. Design-based learning was adopted more than inquiry-based, project-based, or problem-based learning, and this instructional design was mainly used to achieve STEM literacy. It is suggested that studies on twenty-first century competencies may require more research efforts in future STEM education research.

This study presents the outcomes of common web metrics and key performance indices of VillageMath, an online culture-based Instructional Content Repository for STEM learners and teachers. The study adopts a developmental research design. The developed intervention is accessible at (https://villagemath.net). Data collection on common web metrics and key performance indices (KPIs) was handled using standard web performance assessment tools such as WP Statistics, Pingdom Tools, Google PageSpeed Insights, GTmetrix, and WebPage Test. The metric platforms were chosen based on their industry standing, ease of use, and the wide range of KPIs that they measure. The metrics provide a median run performance result accounting for Time to First Byte (when did the content start downloading?), Start Render (when did pixels start to appear?), Speed Index (how soon did the page look usable?), Cumulative Layout Shift (how much did the design shift while loading?), Page Weight (how many bytes downloaded?), speed (from 7 different locations on five continents strategically placed around the globe), total page size, and suggestions for improvement. The data collected was analysed using descriptive statistics such as tables, charts, and averages. The analysis of results obtained from the web performance assessment tools indicated that the web-based VillageMath Repository appeals to a wide range of highly engaged users. Key performance indicators such as speed index, page size, and last painted hero for the VillageMath Instructional Content Repository were above industry averages and affirmed that the platform is robust, elegantly designed, and fast.

The paper focuses on the development and evaluation of rubric used to assess STEM lesson plans. The rubric was constructed based on theoretical studies on STEM education and decision tree models to ensure objectivity and scientific rigor. Two experts in the field of STEM education independently used the rubric for assessment, and Cohen’s Kappa coefficient was calculated to check the inter-rater reliability (k=0.625), indicating a high level of agreement. The study also analyzed STEM lesson plans of teachers and preservice teachers to identify the strengths and weaknesses of each plan. The results showed that the STEM lesson plans met the requirements of the guideline documents. Pre-service teachers’ lesson plans exhibited several strengths in terms of lesson plan ideas and the construction of inquiry-based activities, while teachers faced difficulties in identifying ideas and problem posing.

Based on the E-STEM theoretical framework, STEM lessons, and thematic knowledge content “Introduction to Electronics” in the 11th grade physics curriculum, the article designs the E-STEM lesson “The company designs sensor application products” to foster students’ career-oriented capabilities. Experimental results show that the lesson has an impact on the development of career-oriented competency, including STEM career awareness, STEM self-efficacy, and STEM career interest. Furthermore, although the personal emotional aspect and the decision to choose a STEM career also had an increased average score after the experimental process, it was not statistically significant. In general, students can complete tasks and respond positively to the lessons, while also having the opportunity to foster behavioral manifestations of career-oriented and physics competency. These contributions will suggest and direct the integration of E-STEM into forms of implementing STEM education in high schools in the future.

Abstract Integrated STEM education (iSTEM) is recognized for its potential to improve students’ scientific and mathematical knowledge, as well as to nurture positive attitudes toward STEM, which are essential for motivating students to consider STEM-related careers. While prior studies have examined the relationship between specific iSTEM activities or curricula and changes in student attitudes, research is lacking on how the aspects of iSTEM are operationalized and their influence on shifts in student attitudes towards STEM, especially when considering the role of demographic factors. Addressing this gap, our study applied multilevel modeling to analyze how different iSTEM aspects and demographic variables predict changes in student attitudes. Drawing on data from two five-year NSF-funded projects, we evaluated pre- and post-attitude survey responses from 948 students. Our analysis identified two key iSTEM aspects—relating content to students’ lives and engagement in engineering design—that significantly influence positive attitude change. The results highlight the importance of curriculum relevance and hands-on, problem-solving activities in shaping student attitudes. However, the impact of these instructional strategies varies across demographic groups. The study’s insights into the differential impact of iSTEM aspects on diverse student groups provide actionable guidance for educators, curriculum developers, and policymakers aiming to enhance STEM learning experiences and outcomes.

Abstract Background In the context of global educational reform, science, technology, engineering, and math (STEM) education, as an interdisciplinary educational model, has become increasingly central to foundational pedagogical reforms. However, research on the impact and development of STEM teachers’ interdisciplinary teaching abilities is relatively limited. This meta-analysis explored STEM education’s impact on elementary and secondary school teachers’ interdisciplinary teaching abilities. The review encompassed 21 empirical studies published between 2010 and 2023 and aimed to quantify the effect size of STEM interventions on teachers’ interdisciplinary abilities. Results A moderately positive correlation (r = 0.452) was found between STEM education and teachers’ interdisciplinary teaching abilities. The role of potential moderating variables, including demographic traits, gender, academic qualifications, subject specialization, pedagogical tenure, and prior exposure to interdisciplinary learning, was scrutinized. The findings highlighted a substantial improvement in teachers’ interdisciplinary teaching abilities through STEM education, emphasizing the critical role of knowledge integration. STEM programs significantly aided educators in bridging and amalgamating diverse disciplinary insights. Variations in the efficacy of STEM education across different educational tiers, subject domains, levels of teaching seniority, and interdisciplinary familiarity were identified, indicating that the benefits of STEM training were contingent upon individual teacher profiles. Notably, gender disparities in the enhancement of interdisciplinary teaching abilities through STEM education were not observed. Despite the methodological diversity of the included studies, which encompassed various research paradigms, sampling strategies, and evaluation instruments, the integration of findings across these diverse methodologies added intricacy to the interpretation of the meta-analytic results. The study’s potential limitations, such as the risk of sample selection bias and the use of potentially imprecise assessment tools, were acknowledged as possibly having influenced the meta-analytic outcomes. Conclusions The findings had two implications. First, they provided a roadmap for the strategic design and execution of STEM initiatives aimed at fostering excellence in interdisciplinary teaching. Second, they highlighted the imperative for tailored approaches to the development of STEM teachers, which recognize the heterogeneous needs and potential based on their unique professional and experiential backgrounds.

This article evaluates the current state of awareness of students majoring in Informatics Pedagogy at some Pedagogical Universities about STEM education to detect the characteristics, cognitive levels and influencing factors. The research team conducted a sociological survey using questionnaires for 200 students majoring in Informatics Pedagogy. The obtained results are of a quantitative nature and are evaluated using mathematical statistical methods. Six cognitive characteristics of Informatics Pedagogy students about STEM education have been pointed out. The results also show that students all determine that STEM education-oriented teaching is necessary in the new educational context and students need to access STEM knowledge in a scientific and systematic way through training courses to raise awareness about STEM education and improve skills in building STEM teaching activities.

In a society heavily influenced by technological advancements, developing scientific and technological literacy among young people is essential. Along these lines, this research describes a STEM activity developed to promote the teaching of chemistry content related to the solubility of potassium nitrate in water. It also facilitated the mastery of technological skills such as programming Arduino microcontrollers and using Microsoft Excel as tools for automatic data acquisition and analysis. Eighty pre-university Chemistry students participated in this research. This pedagogical approach was divided into three main stages: (1) preliminary research on components used in the experimental apparatus; (2) introduction to the assembly of electrical circuits and Arduino programming; (3) experimental investigation of the dependence of potassium nitrate solubility on temperature. The activity allowed the students to successfully achieve the proposed chemistry learning objectives while mobilizing other scientific and technological knowledge and skills. Despite the students’ limited prior knowledge of programming and electronics, as well as their limited proficiency in data analysis software, the integration of programming in the Chemistry class proved to be a differentiating factor with a highly positive impact, particularly in terms of motivation and interest among most students.

Research has emphasized the importance of STEM for countries. Many studies have been conducted on STEM education research in countries worldwide. However, there is a lack of research on reviewing the research on STEM education in BRICS countries. Based on this rationale, this paper analyzes research patterns and trends related to STEM education in BRICS countries. The study examined 3,580 journal articles from 2014 to 2023 on STEM education in BRICS countries using the bibliometric analysis method, revealing a significant increase in research. The results showed that the number of published articles increased annually, and 85% were published after 2017. The top three journals publishing STEM studies were the Journal of Engineering Education Transformations, Sustainability, and the International Journal of Emerging Technologies in Learning. China had the highest number of articles on STEM education based on country affiliation, followed by South Africa, India, Brazil, and Russia. The authors’ authorship collaborations revealed that China had the most prominent connections compared to other countries. The keywords analysis revealed four research trends: (i) the effects of STEM education on learning outcomes, (ii) the impacts of instructional strategies in engineering education, (iii) gender differences in STEM education, and (iv) the use of artificial intelligence, project-based learning, and active learning. Based on the analyses, researchers suggest recommendations for future research.

This study examines the effectiveness of GeoGebra in enhancing students’ conceptual understanding of points, lines, and angles within a socio-cultural learning context. A quasi-experimental, nonequivalent pretest-posttest design was utilized, involving 279 first-year secondary school students from four public schools in Rwanda. Participants were divided into two groups: a control group of 148 students and an experimental group of 131 students. The control group received traditional instruction, with teachers providing explanations and exercises on the blackboard. In contrast, the experimental group learned the same content using GeoGebra within a smart classroom environment. Results showed that students in the experimental group significantly outperformed those in the control group (p < .001), suggesting that GeoGebra, when integrated within a socio-cultural learning context, can effectively enhance students’ understanding of mathematical concepts. The study recommends that mathematics educators incorporate GeoGebra software geometry education. The study also acknowledges the potential limitations such as the need for further research to explore the long-term effects of using GeoGebra software in mathematics education.

Students' attitudes towards subjects such as science, technology, engineering, and mathematics (STEM) play a crucial role in the 21st-century learning process. Increasing the number of students pursuing careers in STEM has been widely recognized as important. Consequently, enhancing students' learning and engagement in STEM subjects, as well as fostering positive attitudes toward STEM, has become a primary objective for K-12 STEM education. However, measuring such attitudes in a learning context remains a significant challenge. This research aimed to develop a comprehensive and valid assessment tool to evaluate students' attitudes toward STEM in a learning context for enhancing students creativity. The sample for this research consisted of 311 secondary school students aged 12.83 ± 1.04 years. The validity of the four-factor structure of the model was evaluated using confirmatory factor analysis. Reliability values for the four factors ranged between .73 and .94 with Cronbach Alpha, while those for composite reliability ranged between .97 and .97. The relationship between variables in attitudes toward the STEM instrument identified various path coefficients and effect sizes, indicating strong correlations between the STEM attitude variables. The analysis revealed significant differences according to grade level, with grade 9 students showing better or at least competitive performance in most disciplines. This questionnaire was found to be a feasible instrument to assess secondary school students' STEM attitudes. These findings have important implications for STEM education strategies, emphasizing the need for sustained and focused approaches to deep learning experiences for all students, regardless of gender.

Enhancing learning outcomes in Science, Technology, Engineering, and Mathematics (STEM) subjects for primary school students remains a challenge. This meta-analysis, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), explores Digital Game-Based Learning (DGBL) interventions as a potential solution. Eighteen empirical studies published from 2010 to 2020 were analyzed to identify effective DGBL approaches. Key factors examined include subject disciplines, control treatment, game type, platforms, and intervention duration. Findings reveal significant positive effects of DGBL interventions on learning outcomes, particularly in mathematics, language, and science. The study underscores the importance of optimizing gameplay design and platform choices for DGBL effectiveness and highlights the potential benefits of incorporating DGBL into primary STEM education. Future research should further investigate contributing factors like game genres, technologies, implementation strategies, and specific game components to promote optimal learning processes in diverse educational settings.

This study aimed to develop and validate a theoretical framework elucidating the connections between general self-efficacy (GSE), multidimensional perceived social support (MPSS), STEM interest (SI), stereotype vulnerability (SVS-4), COVID-19 Student Stress (CSSQ), and STEM Belonging (SB) among a diverse group of students in England. An online survey was administered to 290 Mathematics (n = 83, 28.6%), Physics (n = 95, 32.8%), and Chemistry (n = 112, 38.6%) students in three Russell Group universities in England. The majority of participants (n = 115, 43.1%) were between 18 and 19 years old. Data were collected and analysed using a structural equation model and multigroup analysis. The study findings revealed that MPSS, GSE, and SI had a positive impact on students’ SB, while CSSQ and SVS-4 had a negative impact on students’ SB. The findings revealed that the influence of MPSS on SB and the effect of GSE on SI were found to be statistically significant among female, male, and non-binary students, as well as across A-level, undergraduate, master’s, and Ph.D. levels.

AbstractThe researchers developed an Integrated Constructive Robotics in Education (ICRE) model that represents a pioneering framework designed to revolutionize educational landscapes by integrating robotics into pedagogical settings. This research introduces the ICRE model, elucidating its multifaceted dimensions and envisioning its profound impact on educational paradigms. The ICRE model emerges as a comprehensive framework that amalgamates constructivist principles with robotics technology, fostering an environment conducive to active, experiential learning. Anchored in constructivist pedagogy, the model accentuates hands-on, immersive experiences where students engage in designing, programming, and manipulating robots. This tactile engagement not only stimulates curiosity but also empowers students to witness direct outcomes, cultivating a profound sense of agency and ownership in their learning journey. Central to the ICRE model is its versatility, catering to interdisciplinary activities that transcend conventional disciplinary boundaries. By nurturing a deeper conceptual understanding and honing higher-order cognitive skills within Science, Technology, Engineering, and Mathematics (STEM) subjects, the model serves as a catalyst for holistic development. The transformative potential of the ICRE model extends beyond technical skill acquisition, encapsulating motivational, cooperative, and creative dimensions. It addresses gender disparities within STEM education, endeavoring to mitigate gaps in interest and skills. Furthermore, the ICRE model emphasizes the importance of teacher training, equity in access, and collaboration between educators, researchers, and industry professionals. This paper unfolds a detailed conceptual framework of the ICRE model, articulating its core principles, applications, and implications. It navigates through its developmental journey, positing future trajectories and recommendations for its sustained evolution.

AbstractDue to the increasing popularity of STEM education, preservice preparation colleges have also become more important for training teachers. This study involved (25) preservice teachers completing STEM-based lesson plan training sessions during a mathematics teaching methods course. This study seeks to describe and gather opinions regarding the planning skills that have been enhanced following the training session. Furthermore, it aims to explore the challenges teachers face when developing STEEM lesson plans. The study adapted a descriptive qualitative research method. We collected data using semi structured open-ended questions during one-on-one interviews. Analysis of the results showed that STEM based training enhanced STEM lesson planning skills such as problem-solving, collaboration, and interdisciplinary skills, according to the results. Results showed that preservice teachers faced challenges such as limited interdisciplinary knowledge, lack of role models or mentors, and lack of STEM materials and technology during the developing STEM-based lesson plans. The study recommended the integration of STEM into classroom settings during the internship period and other preservice teaching courses.

This paper presents a comprehensive review of the integration of Learning Analytics (LA), Artificial Intelligence (AI), and STEM education within classroom settings, aimed at enhancing educational outcomes. By examining the synergistic effects and interactions among LA, AI, and STEM disciplines, this review highlights how these technologies can collectively transform educational practices. It discusses the potential of LA and AI to personalize learning experiences, thereby improving engagement and academic success in STEM subjects. The paper also explores various case studies and success stories, illustrating practical implementations and the significant impact these technologies have made in schools. Additionally, it addresses the challenges and considerations related to the ethical use of AI and data privacy, providing insights into how educators and policymakers can navigate these issues. Overall, this review underscores the critical role of technology in shaping the future of education by fostering more adaptive and inclusive learning environments.

IntroductionStudents pursuing science, technology, engineering, and math (STEM) majors often struggle with essential skills critical to their academic success and future careers. Traditional self-regulated learning (SRL) training programs, while effective, require significant time investments from both students and instructors, limiting their feasibility in large lecture-based STEM courses.MethodsThis study investigates whether completion of three AI-powered virtual-human training modules—focused on planning, self-monitoring, and reflection—leads to increased use of corresponding MS Planner tools among STEM majors compared to a control group.ResultsResults indicate that students who did not complete the first two training modules were less likely to use MS Planner features for planning and self-monitoring; however, the reflection module did not yield comparable results.DiscussionThese findings highlight the potential of AI-powered virtual-human training as a scalable solution to enhance desirable learning behaviors among STEM majors, particularly in large and diverse classrooms. This research contributes to the understanding of effective interventions for fostering SRL behaviors in STEM education and suggests avenues for future refinement and implementation of digital training tools.

Increasing emphasis is being placed by granting agencies on the need for specialists who support the translation of research into societal benefits. This societal benefit is often referred to as broader impacts (BI), and BI is important for acquiring grant funding and fulfilling land-grant university missions, among other benefits. However, few career paths lead directly to becoming a BI professional, so individuals moving into BI work need to transition from another career, which requires learning about BI. This case study examines the experiences of four former classroom teachers making the transition to both teacher educator (a teacher of teachers) and BI professional, and the ways in which their transition was supported using the Center for Advancing Research Impacts in Society (ARIS) BI Toolkit. Implications for onboarding using this toolkit are described and recommendations are made for how to use the ARIS BI Toolkit for transitioning BI professionals.

IntroductionCollege students often encounter challenges or ambiguity in online learning, which they cannot overcome independently, and therefore, require help. However, relatively little is known about how academic help-seeking can be supported in online contexts and about its potential benefits. The present study investigated the role of academic help-seeking in online STEM learning and its contextual antecedents.MethodsA total of 213 college students, enrolled in an introductory Engineering course, completed an online survey. Their survey responses and academic record data were analyzed.ResultsResults of path analysis indicated that adaptive help-seeking was positively related to retention intention, whereas expedient help-seeking was negatively related to the choice of future courses. In addition, avoidant help-seeking was negatively related to retention intention and major declaration status and positively to disorganized studying. Results also showed that sense of belonging and environmental fixed mindset served as significant predictors of academic help-seeking.DiscussionFindings indicate that academic help-seeking is related to successful online STEM learning. Therefore, fostering online learning contexts in which students perceive more sense of belonging and less environmental fixed mindset is crucial.

IntroductionWhereas it is commonly assumed that in learning science, representational competence is a critical prerequisite for the acquisition of conceptual knowledge, comprehensive psychometric investigations of this assumption are rare. We undertake a step in this direction by re-analyzing the data from a recent study that found a substantial correlation between the two constructs in undergraduates in the context of field representations and electromagnetism.MethodsIn this pre-registered contribution, we re-analyzed the data (N = 515 undergraduate students; Mage = 21.81, SDage = 4.04) to examine whether the relation between representational competence and conceptual knowledge, both measured with psychometrically validated test instruments, is similar or varies between four samples from two countries. To this end, we employed correlational analysis and scatter plots. Employing these methods, we examined whether a positive relation between representational competence and conceptual knowledge can be found and is of similar magnitude in all samples. We also employed multiple-group latent profile analysis to examine how the more detailed association between the two constructs varies or is similar across samples.ResultsWe found that the relation between the two constructs was positive in all four samples, but was stronger in the samples consisting primarily of engineering and physics students than in environmental sciences and teacher education-students. All latent profiles indicated that high representational competence is a prerequisite for high conceptual knowledge, but not vice versa. We found little relation to learners’ gender and topic-specific learning opportunities in high school.DiscussionThese results indicate that the qualitative findings of a positive relation between representational competence and conceptual knowledge, with no evidence of learners that achieve high conceptual knowledge with low representational competence, generalize across different populations. We derive hypotheses for further moderating factors that can be examined in future research.

National and international assessments consistently report gender differences in mathematics, with boys scoring higher than girls. This study aims to explore whether the gender gap has been overcome in mathematical competence; as well as to check what similarities and differences there are according to the school effectiveness, educational stage, and the Diagnostic Assessment (DA) editions in the Autonomous Community of the Basque Country (ACBC). The study follows a descriptive design with a quantitative methodology, analysing census data on the mathematical competence of 4th grade primary and 2nd grade secondary students during the most recent editions of the DA. The results confirm that mathematics achievement is determined by both the gender gap and school effectiveness. Even so, some positive trends can be observed in the latest editions of the DA and, above all, in the secondary education stage to close the gender gap. The study highlights the need to develop mechanisms for measuring equality in schools in a systematic manner, and reviews some of the strategies and action plans currently being implemented to foster gender equality in the classroom.

Algorithmic thinking is a key element for individuals to be aligned with the computer era. Its study is important not only in the context of computer science but also in mathematics education and all STEAM contexts. However, despite its importance, a lack of research treating it as an independent construct and validating its operational definitions or rubrics to assess its development in university students through confirmatory factor analysis has been discovered. The aim of this paper is to conduct a construct validation through confirmatory factor analysis of a rubric for the algorithmic thinking construct, specifically to measure its level of development in university students. Confirmatory factor analysis is performed on a series of models based on an operational definition and a rubric previously presented in the literature. The psychometric properties of these models are evaluated, with most of them being discarded. Further research is still needed to expand and consolidate a useful operational definition and the corresponding rubric to assess algorithmic thinking in university students. However, the confirmatory factor analysis confirms the construct validity of the rubric, as it exhibits very good psychometric properties and leads to an operational definition of algorithmic thinking composed of four components: Problem analysis, algorithm construction, input case identification, and algorithm representation.

This study investigates the performance of eight large multimodal model (LMM)-based chatbots on the Test of Understanding Graphs in Kinematics (TUG-K), a research-based concept inventory. Graphs are a widely used representation in STEM and medical fields, making them a relevant topic for exploring LMM-based chatbots’ visual interpretation abilities. We evaluated both freely available chatbots (Gemini 1.0 Pro, Claude 3 Sonnet, Microsoft Copilot, and ChatGPT-4o) and subscription-based ones (Gemini 1.0 Ultra, Gemini 1.5 Pro API, Claude 3 Opus, and ChatGPT-4). We found that OpenAI’s chatbots outperform all the others, with ChatGPT-4o showing the overall best performance. Contrary to expectations, we found no notable differences in the overall performance between freely available and subscription-based versions of Gemini and Claude 3 chatbots, with the exception of Gemini 1.5 Pro, available via API. In addition, we found that tasks relying more heavily on linguistic input were generally easier for chatbots than those requiring visual interpretation. The study provides a basis for considerations of LMM-based chatbot applications in STEM and medical education, and suggests directions for future research.

IntroductionMetacognition, or the ability to monitor and control one's cognitive processes, is critical for learning in self-regulated contexts, particularly in introductory STEM courses. The ability to accurately make predictions about one's ability and performance can determine the effectiveness in which students effectively prepare for exams and employ good study strategies. The Dunning-Kruger pattern, where low-performing individuals are more overconfident and less accurate at the ability to predict their performance than high-performing individuals, is robustly found in studies examining metacognitive monitoring. The extent to which the Dunning-Kruger pattern can be explained by the lack of metacognitive awareness is not yet established in the literature. In other words, it is unclear from prior work whether low-performing students are “unskilled and unaware” or simply “unskilled but subjectively aware.” In addition, arguments about whether this pattern is a psychological phenomenon or a statistical artifact of the measurement of metacognition can be found in the literature.MethodsStudents enrolled in three different physics courses made predictions about their exam scores immediately before and after taking each of the three exams in the course. Student predictions were compared to their exam scores to exam metacognitive accuracy. A new method for examining the cause of the Dunning-Kruger effect was tested by examining how students adjust their metacognitive predictions after taking exams.ResultsIn all contexts low-performing students were more overconfident and less accurate at making metacognitive predictions than high-performing students. In addition, these students were less able to efficiently adjust their metacognitive predictions after taking an exam.DiscussionThe results of the study provide evidence for the Dunning-Kruger effect being a psychological phenomenon. In addition, findings from this study align with the position that the skills needed to accurately monitor one's performance are the same as those needed for accurate performance in the first place, thus providing support for the “unskilled and unaware” hypothesis.

Teachers have a responsibility to create and foster engaging learning environments which encourage underrepresented persons in Science, Technology, Engineering, and Mathematics (STEM). Outreach programs have been shown to increase STEM engagement of students. We use a positive psychology lens to investigate STEM outreach and teacher wellbeing. This exploratory study uses a survey and focus group to assess how a STEM outreach program can create teacher feelings of support, confidence, and enjoyment. Results demonstrate that most teachers felt more confident in teaching STEM following the STEM-mentor facilitated outreach sessions. The positive benefits to teacher wellbeing from outreach program mentorship, is discussed.

This qualitative study investigated how science teachers integrate science, technology, engineering, and mathematics (STEM) into their lessons, focusing on the benefits, challenges, and implementation strategies. Data were collected through semi-structured interviews with 26 science teachers in public schools in Irbid Governorate, Jordan, during the 2023–2024 academic year. The findings revealed that while teachers generally have a positive attitude toward STEM education, they encountered significant challenges related to inadequate physical resources and time constraints. Additionally, STEM education was shown to promote student engagement in research activities. The study employed a thematic analysis approach to identify, analyze, and report patterns within the data, providing a detailed account of the themes that emerged from the teachers' experiences. The study underscores the importance of addressing these challenges to facilitate the effective integration of STEM into science education.

Due to its significance in fostering 21st-century skills, Science, Technology, Engineering, and Mathematics (STEM) education has rapidly evolved across the country. However, designing effective and meaningful STEM-based lessons is still challenging, especially at the elementary school level. Thus, future elementary teachers should be trained to develop integrated STEM-based lesson plans. This research aims to explore the quality of STEM-based lessons designed by pre-service elementary teachers. This study analyzed six STEM-based lesson plans created by 32 preservice elementary teachers as a final group project in the STEM Learning in Elementary School course. Employing a descriptive analysis method, the study evaluated the lesson plans using STEM Integration Curriculum Assessment (STEM-ICA) indicators to shed light on the lesson design quality. Findings reveal varying scores across STEM-ICA indicators, emphasizing ideal science integration but indicating room for improvement in mathematics integration within the lesson. Assessment alignment and the need for stronger connections in engineering design activities are highlighted. This contributes to discussions on enhancing preparation programs for high-quality STEM educators in elementary schools.

This study explores STEM students’ perspectives on service-learning and story-telling activities to enhance community engagement and advance gender equality, investigating their impact on students’ perceptions, experiences, and understanding of gender dynamics within rural communities. Through qualitative analysis of interviews, reflective journals, and participatory videos, this study explores the transformative potential of service-learning and storytelling initiatives in empowering rural women, challenging traditional societal roles, and advocating for equal opportunities, particularly in STEM disciplines. Findings reveal the multifaceted benefits of these activities, including the development of empathy, cultural awareness, leadership skills, and a commitment to social justice among participating students. This study highlights the importance of integrating service-learning and storytelling into STEM education to cultivate inclusive practices, promote community development, and advance gender equality in rural settings.

This study aims to explore the development of STEM Trails to improve STEM Education through the integration of Math Trails activity with Digital Technology. An exploratory study initiative engaged researchers, teachers, students, and programmers. Data was collected through discussions and observations and then evaluated to create STEM Education through Math Trails utilizing Digital Technology. The study demonstrated the successful development of STEM Trails, comprising the STEM Trails platform and the creation of STEM Education activities utilizing Math Trails on the platform. STEM Trailblazers create paths with goals focused on science, technology, engineering, and mathematics using elements found in the surroundings. The trail and tasks are posted on a website for STEM Trail walkers to access and investigate via an application. STEM Trails enable the comprehensive exploration of science, technology, engineering, and mathematics through physical or virtual means. The study suggests that STEM Trails can serve as a mathematics learning approach that mixes outdoor activities with digital technologies and incorporates other subjects. Math Trails is a traditional concept that has been innovatively combined with digital technologies and diverse activities. This method must be broadened and refined by adjusting to the specific circumstances, conditions, and requirements, and then executed in different settings. Penelitian ini bertujuan untuk mengeksplorasi pengembangan STEM Trails untuk meningkatkan STEM Education melalui integrasi aktivitas Math Trails dengan Digital Technology. Sebuah inisiatif penelitian eksploratif melibatkan peneliti, guru, siswa, dan programmer. Data dikumpulkan melalui diskusi dan pengamatan dan kemudian dievaluasi untuk menciptakan STEM Education melalui Math Trails menggunakan Teknologi Digital. Studi ini menunjukkan keberhasilan pengembangan STEM Trails, yang terdiri dari platform Stem Trails dan penciptaan kegiatan STEM Education menggunakan Math Trails di platform tersebut. STEM Trailblazers menciptakan jalur dengan tujuan yang berfokus pada ilmu pengetahuan, teknologi, teknik, dan matematika menggunakan elemen yang ditemukan di sekitarnya. Trail dan tugas diposting di situs web untuk STEM Trail walker untuk mengakses dan menyelidiki melalui aplikasi. STEM Trails memungkinkan eksplorasi komprehensif ilmu pengetahuan, teknologi, teknik, dan matematika melalui sarana fisik atau virtual. Studi ini menyarankan bahwa STEM Trails dapat berfungsi sebagai pendekatan pembelajaran matematika yang menggabungkan kegiatan outdoor dengan teknologi digital dan mengintegrasikan mata pelajaran lainnya. Math Trails adalah konsep tradisional yang telah digabungkan secara inovatif dengan teknologi digital dan berbagai kegiatan. Metode ini harus diperluas dan disempurnakan dengan menyesuaikan dengan keadaan, kondisi, dan persyaratan tertentu, dan dijalankan dalam pengaturan yang berbeda.

This study aimed to develop and implement a STEM education program on solar energy. This study follow Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model. The study was conducted by analysing, designing, and developing a STEM education program consisting of a program guide and a solar panel STEM KIT. The program was implemented in schools involving 83 high school students. The program was implemented in two formats, namely STEM after school and regular learning. Students completed the STEM interest instrument after participating in the STEM education program. The results showed that the program was declared valid for use. In addition, the program implementation results showed no significant difference between students' technology, engineering, mathematics, and STEM career interests in STEM after school and regular STEM classes. This may be due to several things such as similar content and activities, similar engagement, and similar mentorship. This study implies that the STEM education program can increase students' interest in STEM after-school and regular learning activities.

In this study, middle school students were encouraged to develop STEM based socio-scientific activities, and as a result, their attitudes and opinions towards STEM were investigated. Mixed nested method was used in this research. Sample of the study consists of 16 seventh grade students, who got educated during the 2017-18 academic year in an eastern province of Turkey. The study lasted 24 weeks during an academic year. Data was collected by using STEM Attitude Scale, STEM Interview Form, Field Notes and Informal Meetings. The research findings indicated that engagement in STEM-based socio-scientific activities significantly enhanced participants' attitudes towards STEM disciplines. Moreover, this active involvement positively impacted their skills and aspirations, fostering a greater inclination toward selecting professions and careers geared towards creating innovations to enhance human life. Additionally, it was concluded that the activities positively affected their knowledge and motivation about STEM and socialization features such as communication, interaction and sharing.

In the pursuit of comprehensive education, the symbiotic relationship between 21st-century skills and STEM is crucial. These two domains work hand in hand to equip students with the knowledge and abilities required to thrive as productive and technically literate citizens in the future. This study assessed the impact of an integrated STEM education program on students' 21st-century skills using Project-Oriented Problem-Based Learning (PoPBL) as the core pedagogical approach. A onegroup quasi-experimental design and survey methodology were employed to evaluate students' skills before and after participating in the program. The findings showed a significant increase in students' overall 21st-century skills, with high productivity skills notably improving from moderate to high proficiency. These results provide compelling evidence that PoPBL in STEM education effectively enhances students' skills by immersing them in authentic, real-life problem-solving experiences through project work. The study emphasizes the value of integrating PoPBL into STEM education to enhance critical skills such as problemsolving, creative thinking, collaboration, and effective communication. By engaging in practical, project-based activities, students not only apply their knowledge but also develop competencies to address complex challenges in their future endeavors.

This study investigates the influence of an innovative teaching model, the Realistic, Exploratory, Technology-enhanced, and Active (RETA) model, on the STEM attitudes of senior-grade pre-service teachers. The research involved 65 participants from a public university in Turkey. Employing a comprehensive approach, the study utilized a STEM attitude scale, a RETA-based lesson evaluation rubric, and semi-structured interviews to gather both qualitative and quantitative data. The results revealed a noteworthy correlation between pre-service teachers with positive attitudes towards the RETA approach and their heightened efficacy in developing impactful lesson plans. Through the application of the RETA model, participants demonstrated an increased inclination towards innovative teaching strategies, emphasizing the integration of 21st-century skills. Furthermore, post-course assessments indicated a significant positive shift in attitudes, with participants recognizing the model's potential to foster equity within their teaching practices. This research contributes valuable insights into the integration of digital technologies in the classroom, offering a robust framework for pre-service teachers to enhance their pedagogical approaches.

Enrolling Saudi female students in STEM fields offers career opportunities and fosters societal development and innovation. This research underscores the intersection of gender inclusivity, STEM education, and societal advancement. It provides a platform for female students to share experiences and contribute to the dialogue on empowering women in STEM, aligning with Saudi Vision 2030's goals. Analyzing data from a precalculus course, a prerequisite for advanced mathematics and core classes, and a survey distributed to students provided valuable insights into students' readiness, competence, interests, perceptions, and motivations.

This research paper investigates the promises, challenges, and perspectives of teaching STEM subjects in English within Tunisian higher education institutions. The study explores the potential benefits of English-medium instruction (EMI) in Science, Technology, Engineering, and Mathematics (STEM) education, highlighting enhanced global competitiveness, improved English language proficiency, and increased access to international resources and collaborations. Additionally, it examines the challenges faced by educators and students, including language barriers, curriculum adaptation, faculty training, and student support. Through a comprehensive analysis, the paper aims to provide insights and recommendations for effectively implementing EMI of STEM in Tunisian higher education institutions. The paper concludes with a recommended action plan for the proper introduction of EMI of STEM in Tunisia, addressing both the potential advantages and the practical challenges to ensure a successful transition. This research is crucial for informing educational policies and practices, aiming to elevate the quality and accessibility of STEM education in Tunisia while aligning with global educational trends.