Search Results (97)

To help students with autism reach their potential, high-quality inclusive education emphasizes the importance of their full participation in school and classroom activities. Academic anxiety, however, can interfere with students’ ability to follow instructions and, thereby, negatively affect their performance. We used a concurrent multiple-probe across tasks design within a single-subject research framework to coach students with autism in inclusive settings on relaxation behaviors to reduce their tension and increase their ability to complete tasks in Chinese literacy, mathematics, and English. Results indicated that behavioral relaxation training (BRT) produced positive effects on both behavioral and physiological outcomes and significantly improved academic task completion. Behavior changes stayed at a high level during the maintenance phase. In interviews, both caregivers and students reported positive attitudes toward the intervention, expressed strong acceptance of procedures, and confirmed that relaxation strategies facilitated assignment completion. Study limitations and implications for future research and practice are discussed. Full article

The implementation of K–12 engineering education presents significant challenges for current teachers. To strengthen the instructional readiness of elementary school teachers in Taiwan for engineering education, this study developed a STEM-oriented engineering design activity. It draws on international K–12 engineering education models and incorporates the computational thinking competencies prioritized by Taiwan’s national technology curriculum. The activity involves employing the micro:bit microcontroller to design an educational buzz wire game machine themed on energy education, integrating the engineering design process with knowledge from science, mathematics, and technology. The activity was implemented in an elementary teacher education course through a one-group pretest–posttest quasi-experimental design. The results indicate that participants completed engaging buzz wire game machines that incorporated energy concepts. Significant improvements were observed in participants’ engineering concepts, engineering design self-efficacy, computational thinking, and programming self-efficacy, with a considerable effect size noted in programming self-efficacy (N = 27, Cohen’s d = 1.84, p < 0.05). Most participants expressed highly positive attitudes toward the activity. The findings suggest that the engineering design activity developed in this study shows promising evidence of enhancing professional growth across multiple dimensions of engineering education for pre-service elementary teachers. The study serves as a valuable reference for future curriculum design in teacher education programs. Full article

Teacher identity emerges from the intertwined relationship of past, present, and future experiences, shaped through active reflection within individual, social, and cultural contexts. This study investigates how initial teacher education programs for future primary school teachers and future mathematics teachers influence their perceptions of mathematics education. Questionnaires with predominantly open-ended questions were distributed to 369 students: 195 enrolled in mathematics teacher education programs and 174 in primary school teacher education programs. The survey examined their preferences for school subjects in prior education, motivations for choosing teaching as a profession, important teacher qualities, and attitudes toward mathematics. The results reveal significant differences between the two groups: future primary school teachers emphasize the focus on children and relational aspects of teaching, while future mathematics teachers highlight mathematics as a scientific discipline. Both groups’ responses reflect their respective educational programs and experiences. The findings suggest that adopting a holistic approach in teacher education, integrating content knowledge with pedagogical practice, and supporting reflective processes can foster deeper self-understanding and the development of a professional teacher identity. Full article

Practising the calculation of determinants is important in linear algebra. A pioneering study involving 580 first-year university students evaluated the impact of game-based learning in higher mathematics education. The participants formed two groups: an experimental group of 279 students and a control group of 301. The experimental group students played the non-digital educational card game DETerminator, designed to help students learn and practise calculating determinants in small square matrices. In contrast, the control group received no intervention, allowing for a clear outcome comparison. Students in the experimental group worked in smaller teams during didactic gameplay sessions that involved solving matrix-determinant problems in a competitive and collaborative classroom setting, enhancing their understanding through interaction and teamwork. The objective of this paper is to provide a detailed presentation of the DETerminator game and showcase its integration as an effective teaching tool for practising essential concepts and theorems related to determinants. Moreover, a quasi-experiment was conducted to explore how incorporating game-based learning can lead to successful and enjoyable mathematical education experiences for students. We used a quantitative approach to assess the effectiveness of the card game on academic achievement. At first, a pre- and post-test design was employed with the experimental group of 279 participants to evaluate the short-term effects of game-based learning. The Wilcoxon test was utilised for hypothesis testing, revealing a large effect size of 0.63. Moreover, the results from related midterm exam problems were statistically analysed to obtain the medium-term impact. The outcomes were compared using the Mann–Whitney U-test. The results demonstrated that the experimental group statistically outperformed the control group, but achieving a small effect size of 0.16, with a mean score of 3.14 out of 7 on the designated midterm exam tasks, compared to the control group’s mean score of 2.5. The small effect size suggests that, although the intervention had a positive effect, it is worth considering what other options there are for increasing the medium-term effect. A Likert-scale questionnaire was used to evaluate students’ attitudes towards the game. Our findings show the importance of incorporating game-based learning strategies in mathematics education at the university level, especially for enhancing students’ proficiency in key topics such as the determinant of a matrix. Full article

Core mathematics courses are fundamental to the academic success of engineering students in higher education. These courses equip students with skills and knowledge applicable to their specialized fields. However, first-year engineering students often face significant challenges in mathematics due to a range of factors, including insufficient preparation, mathematics anxiety, and difficulty connecting theoretical concepts to real-life applications. The transition from secondary to tertiary mathematics remains a key area of educational research, with ongoing discussions about effective pedagogical approaches for teaching engineering mathematics. This study utilized a belief survey to gain general insights into the attitudes of first-year mathematics students towards the subject. In addition, it employed the activity theory framework to conduct a deeper exploration of the experiences of first-year engineering students, aiming to identify contradictions, or “tensions,” encountered within a flipped-classroom learning environment. Quantitative data were collected using surveys that assessed students’ self-reported confidence, competence, and knowledge development. Results from Friedman’s and Wilcoxon’s Signed-Rank Tests, conducted with a sample of 20 participants in 10 flipped-classroom sessions, statistically showed significant improvements in all three areas. All of Friedman’s test statistics were above 50, with p-values below 0.05, indicating meaningful progress. Similarly, Wilcoxon’s Signed-Rank Test results supported these findings, with p values under 0.05, leading to the rejection of the null hypothesis. The qualitative data, derived from student questionnaire comments and one-to-one interviews, elucidated critical aspects of flipped-classroom delivery. The analysis revealed emerging contradictions (“tensions”) that trigger “expansive learning”. These tensions encompassed the following: student expectation–curriculum structure; traditional versus novel delivery systems; self-regulation and accountability; group learning pace versus interactive learning; and the interplay between motivation and anxiety. These tensions are vital for academic staff and stakeholders to consider when designing and delivering a first-year mathematics course. Understanding these dynamics can lead to more effective, responsive teaching practices and support student success during this crucial transition phase. Full article

Physics concepts are considered an essential component of STEM (science, technology, engineering, and mathematics) education and fundamental for economic and technological development in the world. However, there can be student academic underperformance, such as the school environment, learning media and infrastructure, student interest and emotions, as well as social and economic development factors in communities. These problems are even more acute in rural areas of developing countries, where poverty is high and teachers often lack the necessary technological skills. The aim of this study was to evaluate the impact of a low-cost STEM tool focused on motivation in learning, in terms of five variables of interest in physics in rural areas, as well as the durability of the tools used to learn 12 physics concepts. A quasi-experimental study was conducted with the participation of 78 high school students, with an average age of 15.82 years, in a rural area of Guerrero, Mexico. The results showed that using the STEM tool significantly increased students’ interest in learning methodology, active participation, and attitude towards physics, facilitating the teacher’s work. In addition, the 3D construction kit used in the experimentation, besides being low-cost, proved to be affordable and durable, making it ideal for use in rural areas. Full article

The education sector in Tanzania faces significant challenges, especially in public primary schools. Unmanageably large classes and critical teacher–pupil ratios hinder the provision of tailored tutoring, impeding pupils’ educational growth. However, artificial intelligence (AI) could provide a way forward. Advances in generative AI can be leveraged to create interactive and effective intelligent tutoring systems, which have recently been built into embodied systems such as social robots. Motivated by the pivotal influence of teachers’ attitudes on the adoption of educational technologies, this study undertakes a qualitative investigation of Tanzanian primary school mathematics teachers’ perceptions of contextualised intelligent social robots. Thirteen teachers from six schools in both rural and urban settings observed pupils learning with a social robot. They reported their views during qualitative interviews. The results, analysed thematically, reveal a generally positive attitude towards using social robots in schools. While commended for their effective teaching and suitability for one-to-one tutoring, concerns were raised about incorrect and inconsistent feedback, language code-switching, response latency, and the lack of support infrastructure. We suggest actionable steps towards adopting tutoring systems and social robots in schools in Tanzania and similar low-resource countries, paving the way for their adoption to redress teachers’ workloads and improve educational outcomes. Full article

This study builds on Davis’ TAM by integrating environmental and psychological variables relevant to AI medical diagnostics. This study developed a mathematical theoretical model called the “AI medical diagnosis-acceptance evaluation model” (AMD-AEM) to better understand acceptance behavior intention. Using mathematical modeling, we established reflective measurement model indicators and structural equation relationships, where linear structural equations illustrate the interactions among latent variables. In 2025, we collected empirical data from 2380 patients and medical staff who have experience with AI diagnostic systems in teaching hospitals in central Taiwan. Smart PLS 3 was employed to validate the AMD-AEM model. The results reveal that perceived usefulness (PU) and information quality (IQ) are the primary predictors of acceptance behavior intention (ABI). Additionally, perceived ease of use (PE) indirectly influences ABI through PU and attitude toward use (ATU). AI emotional perception (AEP) notably shows a significant positive relationship with ATU, highlighting that warm and positive human–AI interactions are crucial for user acceptance. IQ was identified as a mediating variable, with variance accounted for (VAF) coefficient analysis confirming its complete mediation effect on the path from ATU to ABI. This indicates that information quality enhances user attitudes and directly increases acceptance behavior intention. The AMD-AEM model demonstrates an excellent fit, providing valuable insights for academia and the healthcare industry. Full article

This research is focused on exploring the importance of STEM (Science, Technology, Engineering, and Mathematics) education in the development of critical competencies among secondary school students in the 21st century. This was aimed to assess the impact of STEM-based activities on students’ creative and computational thinking skills. A quasi-experimental design that included 77 secondary school students from public and private schools in Bandar Lampung, Indonesia, who participated in STEM interventions for over 5 weeks, was adopted. Data were collected through creative thinking tests and questionnaires on CT and STEM attitudes. The results showed that students who participated in STEM activities exhibited significantly higher creative thinking scores compared to peers taught with the traditional curriculum. Specifically, the experimental group showed a progressive increase in weekly test scores, suggesting that STEM methods improved students’ performance over time. Structural equation modeling (SEM) disclosed strong positive associations between attitudes towards STEM, CT, and creativity. The implications of these results outlined the need to integrate STEM education into curricula to foster essential skills for future challenges. This research contributes to the understanding of effective educational strategies and also advocates for a shift towards more interactive and integrative methods in secondary education to meet the demands of the contemporary workforce. Full article

Testing is a part of education around the world; however, there are concerns that consequences of testing is underexplored within current educational scholarship. Moreover, usability studies are rare within education. One aim of the present study was to explore the usability of a mathematics problem-solving test called the Problem Solving Measures–Computer-Adaptive Test (PSM-CAT) designed for grades six to eight students (ages 11–14). The second aim of this mixed-methods research was to unpack consequences of testing validity evidence related to the results and test interpretations, leveraging the voices of participants. A purposeful, representative sample of over 1000 students from rural, suburban, and urban districts across the USA were administered PSM-CAT followed by a survey. Approximately 100 of those students were interviewed following test administration. Findings indicated that (1) participants engaged in the PSM-CAT as desired and found it highly usable (e.g., most respondents were able to use and find the calculator and several students commented that they engaged with the test as desired) and (2) the benefits from testing largely outweighed any negative outcomes (e.g., 92% of students interviewed had positive attitudes towards the testing experiences), which in turn supports consequences from testing validity evidence for PSM-CAT. This study provides an example of a usability study for educational testing and builds upon previous calls for greater consequences of testing research. Full article

Arithmetic competence is crucial for navigating modern society and maintaining independence. It relies on domain-general and domain-specific cognitive skills, as well as subjective factors. Given its importance, understanding how these factors shape adult arithmetic proficiency is essential. This study investigated demographic, cognitive, and subjective influences on various arithmetic skills throughout adulthood, including both younger and older individuals. In total, 134 adults aged 20–68 completed computerized tasks assessing simple calculations, exact and approximate complex calculations, and arithmetic principles, alongside neuropsychological testing and self-ratings on math anxiety, math self-concept, attitudes toward mathematics, and the frequency of engagement with numbers. The results indicate that accuracy varied by task, with approximate calculations being the most challenging. Self-ratings showed low math anxiety but moderate-to-high math self-concept, positive attitudes, and moderate engagement with numbers. Age correlated only with arithmetic principles; however, interference inhibition and engagement with numbers, not age, best predicted performance. Executive functions correlated solely with approximate calculations and arithmetic principles, while subjective measures were related to all arithmetic tasks. The regression analyses indicate strong interrelationships, particularly among calculation tasks. The findings highlight the multifaceted nature of arithmetic competence and suggest it remains stable in adulthood, with age-related declines only evident in arithmetic principles, likely due to declining executive functions. Full article

It is well established that women’s representation in scientific and technical fields decreases with societal affluence, but the mechanisms underlying this so-called paradox remain contested. This study leverages distinctive features of the Israeli educational system to identify social psychological and organizational mechanisms driving contextual variability in the gendering of physics and computing subjects. Using in-depth interviews and original surveys, we compare gender gaps in ninth graders’ attitudes and aspirations across two highly segregated yet centrally administered state school sectors: one serving the socioeconomically marginalized Arab Palestinian minority, and one serving the Jewish secular majority. Results reveal curricular affinities, discourses, and course-taking patterns that are differentially gendered across school sectors. While boys and girls in Arab Palestinian schools report more instrumentalist motivations and more positive attitudes toward mathematically intensive fields, students in Jewish schools engage in highly gendered, self-reflexive discourses that support gendered course-taking. Findings support arguments positing gender-specific effects of postmaterialist, individualistic value systems, and suggest that the cultural and organizational processes that generate larger gender gaps in more affluent countries may also play out within countries. Full article

School leadership plays a critical role in shaping student academic performance. Despite the UAE’s recognition as one of the leading nations globally for quality education, research on the impact of leadership practices on performance in international assessments like PISA remains scarce. This study explores the influence of school leadership on students’ performance in the UAE’s schools. The PISA 2022 UAE database containing data on 24,600 15-year-old students across 840 schools was used to assess mathematical literacy based on their ability to apply math concepts and their attitudes toward the subject. Insights into leadership practices were utilized using responses from school principals in the PISA 2022 school leaders’ questionnaire. The results demonstrate that leadership practices significantly influence student outcomes. Schools where leaders emphasize teacher accountability and professional development show improved mathematics performance, lower anxiety levels, and enhanced self-efficacy among students. Conversely, excessive focus on disciplinary measures or teaching skill improvements is associated with reduced student self-efficacy. These findings highlight the importance of adaptive leadership approaches that consider local educational contexts, balancing accountability and support to optimize both student performance and well-being. By refining leadership practices, schools can drive meaningful improvements in student success and better equip learners to thrive in global educational benchmarks. Full article

Observing students during mathematical learning experiences provides great insights into their mathematical experiences. Traditionally, observations in the mathematics classroom had a cognitive focus, examining teacher practice or students’ conceptual understanding and engagement in mathematics. There is a dearth of research that uses classroom observations to observe how affective factors, such as attitudes towards mathematics, are enacted during mathematical learning experiences. The purpose of this paper was to document a replicable process to examine primary students’ attitudes towards mathematics from the perspective of how attitudes are enacted during mathematical learning experiences. Drawing on three separate studies conducted with Australian primary students (5–12 year olds), this paper documented an observational framework and schedule that can be used to investigate attitudes towards mathematics. The framework and schedule have been used to conduct 50 observations in all primary year levels, including multi-year classrooms. The aim of the study reported here was to bring to the surface the complex and multifaceted aspects of attitudes towards mathematics as children implement and talk about the mathematics that they learn. As well as contributing to the literature on attitudes, these findings have provided insights into methodological considerations of conducting observations. Full article

Science, technology, engineering, and mathematics (STEM) are crucial for economic development and play a significant role in achieving sustainable development goals. Despite this, there is a shortage of skilled STEM professionals and a declining interest in STEM education and careers. The Saudi Vision 2030 goal of economic diversification and sustainable development aims to transform Saudi Arabia into a knowledge-based economy driven by innovation and sustainability. This study investigates factors influencing adolescents’ attitudes toward STEM careers in Saudi Arabia, with comparative insights from Bahrain and Singapore. Structural equation models (SEM) were constructed for each country to analyze the influence of scientific self-concept, school belonging, and teacher effectiveness on students’ choices of science careers. Mediation analysis examined the interest and value of science as mediators in these relationships. Confirmatory factor analysis was conducted to validate model constructs before building SEM models. Data from TIMSS 2019 for eighth-grade students was used to develop model constructs based on relevant items from the student questionnaire. Findings reveal that students’ interest in and value of science significantly influence career decisions, with self-concept and teacher engagement playing crucial roles. Teacher effectiveness had the strongest impact on science interest in Saudi Arabia and Bahrain, while self-concept was most influential in Singapore. These results highlight the importance of fostering teacher engagement and self-concept to encourage students’ career paths in science. To support this, Saudi Arabia should enhance teacher training programs by integrating mentorship, active learning strategies, and technology driven instruction to improve student engagement. Adopting Singapore’s blended learning model can foster self-confidence and independence in STEM education, while hands-on learning and career exposure programs can strengthen students’ self-concept and long-term commitment to STEM fields. Additionally, expanding extracurricular STEM initiatives and industry partnerships will help connect classroom learning to real-world applications. By aligning STEM education reforms with these insights, Saudi Arabia can cultivate a skilled workforce that supports its economic transformation under Vision 2030. Full article