Search Results (262)

This study aimed to analyze the observed variations in the research competencies of first-year nursing students following the implementation of a pedagogical problem-solving strategy based on Polya’s method and integrated with STEM technological resources. The study was conducted within the context of higher education, where strengthening research skills in the early stages of academic training continues to represent a formative challenge. A pre-experimental pretest–posttest design with a single group was employed, involving 69 students enrolled in an introductory research course. The intervention was implemented over 16 weeks and structured according to the four phases of Polya’s method—understanding the problem, planning, execution, and review—while also integrating the use of a STEM educational kit and visual programming tools. The results showed descriptive increases across all evaluated dimensions. The overall mean score increased between the pretest and posttest, revealing statistically significant differences in research competencies (p < 0.001) and a large effect size (r = 0.896). Likewise, significant differences were identified in the dimensions related to research background and objectives, development of research activities, and evaluation of results. In contrast, the dimension concerning problem identification and formulation did not show statistically significant differences, suggesting that this competency may require longer formative processes and greater academic support. Although the results suggest favorable associations between the implemented strategy and the observed variations in research competencies, these findings should be interpreted with caution due to the limitations inherent to the pre-experimental design employed. In this sense, the study provides preliminary evidence regarding the pedagogical potential of integrating problem-solving and STEM technological resources to promote the early development of research competencies in university students in the health sciences. Full article

Large language models (LLMs) are increasingly being used in education, yet their correctness alone does not capture the quality, reliability, or pedagogical validity of their problem-solving behavior, especially in mathematics, where multi-step logic, symbolic reasoning, and conceptual clarity are critical. Conventional evaluation methods largely focus on final answer accuracy and overlook the reasoning process. To address this gap, we introduce a novel interpretability framework for analyzing LLM-generated solutions using undergraduate calculus problems as a representative domain. Our approach combines reasoning flow extraction and decomposing solutions into semantically labeled operations and concepts with prompt ablation analysis to assess input salience and output stability. Using structured metrics such as reasoning complexity, phrase sensitivity, and robustness, we evaluated the model behavior on real Calculus I–III university exams and compared it with the performances of students enrolled in the courses. Our findings revealed that LLMs often produce syntactically fluent yet conceptually flawed solutions with reasoning patterns sensitive to prompt phrasing and input variation. This framework enables a fine-grained diagnosis of reasoning failures, supports curriculum alignment, and informs the design of interpretable AI-assisted feedback tools. The framework was evaluated on Gemma 3, an open-access large language model, across zero-shot, retrieval-augmented generation, and contextual retrieval configurations, using nine real undergraduate calculus examinations from three course levels. To our knowledge, this is the first paper to apply a combined reasoning flow decomposition and prompt ablation framework to real undergraduate calculus examinations, benchmarked against actual student cohort performance, laying the foundation for the transparent and responsible deployment of AI in STEM learning environments. Full article

Driven by Emerging Engineering Education and basic education reform, cultivating engineering literacy in pre-service teachers is vital for nurturing innovative talent. This qualitative multiple-case study examines current practices in nine leading Chinese normal universities, primarily through document analysis of institutional policies and curricula, supplemented by faculty interviews and a pre-service teacher survey in a subsample of institutions. Thematic analysis reveals prominent predicaments: a fragmented curriculum, monolithic training models, misaligned resources, and low student motivation. These issues stem from ambiguous conceptual positioning, weak institutional design, and a shortage of specialized faculty and platforms. To address these challenges, this paper proposes a systematic Four-in-One breakthrough framework encompassing Top-Level Design, Platform Foundation, Faculty Empowerment, and Project-Centric Cultivation. Central to this framework is a dual-track drive model, which integrates hands-on engineering practice with pedagogical application, enabling future teachers to develop engineering thinking and the competency to translate it into effective classroom teaching. While the proposed framework requires further empirical validation, this approach offers a theoretical and practical pathway for reconstructing teacher education and building a high-quality teaching workforce. Full article

This systematic review comprehensively explores the integration of Extended Reality (XR) technologies, comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), into New Zealand’s STEM education framework. In alignment with PRISMA 2020 guidelines, we systematically analyzed 127 peer-reviewed studies from the Web of Science (n = 48), Scopus (n = 57), and Dimensions (n = 22) and incorporated 15 grey literature sources, resulting in 142 studies included in the review. Our meta-analysis found substantial improvements in student conceptual understanding from XR-enhanced STEM modules. Specifically, we observed an average increase of 23.4% when compared to traditional instructional methods (95 percent Confidence Interval: 18.7 to 28.1 percent, p < 0.001). These gains were especially prominent in interactive learning environments where immersive XR applications supported deeper engagement and the visualization of abstract STEM concepts. The qualitative synthesis highlighted several key barriers that limit effective XR integration. These include technological infrastructure gaps reported in 68 percent of reviewed studies, a critical need for educator training cited by 82 percent of studies, and curriculum alignment issues present in 57 percent of cases. Methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT) 2018, and the qualitative component employed a deductive thematic coding approach with inter-coder reliability verification. Successful institutional implementations were also identified. At Auckland University of Technology, XR-supported courses produced a 67 percent increase in student engagement, while Wellington High School achieved a 41 percent reduction in STEM achievement gaps through targeted XR interventions. Based on the evidence, we propose a four-phase implementation framework that addresses the technological, pedagogical, and policy requirements for sustainable XR adoption. These findings highlight the role of immersive technologies in supporting human-centered digital transformation and future skills development in the transition to Industry 5.0. The review contributes evidence-based insights that support the transition from technology-driven approaches associated with Industry 4.0 to the human-centered, socially oriented priorities of Industry 5.0. It also identifies critical research gaps, particularly in long-term learning outcomes and the integration of Mātauranga Māori within XR-enabled STEM environments. Full article

Organized after-school activities can play a vital role in supporting historically marginalized youth in science, technology, engineering, and mathematics (STEM), yet less is known about how culturally responsive practices—which are practices that integrate youths’ cultural backgrounds and lived experiences into learning—are enacted in math-focused learning spaces. Drawing on empowerment theory and critical youth empowerment frameworks, this qualitative study examines how culturally responsive practices foster empowerment among middle school students participating in a university-based after-school math enrichment program. Ninety-two students (M_age = 12.26 years; 47% girls; 86% Latine) from three under-resourced schools in Southern California participated in semi-structured interviews about moments when they felt empowered and what contributed to those experiences. Thematic analysis revealed that all four domains of culturally responsive practices helped promote empowerment: structured opportunities for contribution and leadership, caring relationships, cultural affirmation, and efforts to make real-world connections. In particular, students most frequently described structured opportunities for contribution and leadership, practices that centered their knowledge and voices, and relational climates characterized by care and high expectations. The findings suggest that in after-school STEM contexts, empowerment does not arise as an isolated individual trait but is part of a relational and context-dependent process that is supported by culturally responsive practices. These findings highlight how intentional, culturally responsive program design can advance both youth empowerment and equity-oriented STEM education. Full article

International graduate students studying Science, Technology, Engineering, and Mathematics (STEM) in the United States (U.S.) diversify universities and contribute to research and innovation. They are critical to the U.S. STEM pipeline, workforce and economy; therefore, it is important to understand their experiences. This systematic literature review investigated international graduate STEM students’ characteristics and the supports and barriers they experience while studying in the U.S., following PRISMA guidelines. Thirty-nine peer-reviewed articles were systematically selected from 552 articles for inclusion in this review. Ecological systems theory situated the study within the broader system of graduate education. Findings revealed great diversity, such as country of origin and cultural identity, gender, STEM fields, and prior experiences. Students expressed differences in their reasons to pursue U.S. education and their post-graduation intentions to remain in the U.S. or leave. Support came from institutions, faculty members/academic advisors, and peers. Reported barriers included unfamiliarity with norms and institutional resources, limited English proficiency and writing skills, issues with advisor and being a teaching assistant, underrepresentation, and family responsibilities. Themes were placed within the levels of the ecological framework; most were in the macrosystem, reflecting the strong influence of society, institutions, culture, and norms on students’ experiences. Full article

The student movement of 2015, dubbed “#FeesMustFall”, was a pivotal moment in South Africa, which saw students demonstrating against for tuition fees in institutions of higher education. It was the country’s most significant post-apartheid student movement, in which Twitter/X played an important role, serving as a space for information sharing. Although the #FeesMustFall movement has been widely studied, there is still limited testing of the emotional discourse and the perceived consequences. This study sought to fill that gap by computing sentiment analysis of Twitter/X from 2015–2016 and reveal how emotional stories influenced mobilisation and public opinion on higher education reform in South Africa. A Lexicon-based (Natural Language Processing) sentiment analysis approach was utilised to assess people’s sentimentsand thefindings unveiled the role of emotions in shaping and mobilising youths, leading to the protest. For instance, 51% of the analysed tweets expressed support for the movement’s goals. These tweets reflected a strong conviction that reducing student fees is essential for improving access to higher education and addressing social inequality, particularly access to higher education. In addition, 31% of the tweets exhibited criticism of the protest. This criticism or negativity may stem from concerns about the destruction of university property during the protests, as well as the feasibility of implementing proposed changes. Only 18% of the tweets presented neutral sentiments, i.e., neither a strongly positive nor a strongly negative outcome. These tweets expressed views that were not opinionated on the demonstrations. Overall, it can be noted that the emotional dimensions of social activism in the digital age highlight the significance of emotional discourse in shaping the impact of student dissatisfaction with the higher education system in South Africa. Full article

Background: University students’ mental health represents an increasing public health concern, particularly in STEM contexts characterized by high academic demands. Students living away from home, including international students, may face additional stressors related to relocation, social integration, and adaptation. This study examined how narrated academic experiences are associated with psychological and academic functioning among relocated STEM students. Methods: A cross-sectional convergent parallel mixed-methods study was conducted at an Italian STEM university (May–June 2024). An online survey was distributed to the entire accessible student population (33,336 invitations; 12,538 accesses; response rate = 37.6%). Analyses focused on relocated students who completed all relevant sections (N = 776; M age = 22.96). Quantitative measures assessed academic self-efficacy, burnout (Emotional Exhaustion; Cynicism), engagement (Vigor; Dedication), study program satisfaction, and perceived academic goal attainment. Open-ended responses underwent thematic analysis with a codebook approach and transformed into category count variables. Hierarchical regression models examined associations controlling for age, gender, and academic level. Results: Organizational and learning-related difficulties were the most frequent categories. Content categories explained additional variance across outcomes (ΔR² = 0.054–0.107). Teaching-related narratives were associated with higher burnout and lower engagement and satisfaction, whereas Positive narratives showed the opposite pattern. Conclusions: Institutional and pedagogical experiences are systematically associated with student well-being among relocated STEM students, highlighting modifiable targets for university-level mental health promotion strategies. Full article

Effective teaching and learning in classrooms are achievable only through sound classroom management. While positive attitudes and behaviors exhibited by faculty members enhance instructional quality, undesirable behaviors may impede and negatively influence the teaching–learning process. The purpose of this study is to examine the undesirable behaviors displayed by faculty members in classroom settings based on the perspectives of pre-service teachers. The study adopted a phenomenological design and was conducted with 95 pre-service teachers enrolled in the Classroom Management course at the Faculty of Education, Çanakkale Onsekiz Mart University. Data were collected through a semi-structured interview form and analyzed using content analysis. The findings revealed that undesirable faculty members’ behaviors were characterized as actions stemming from instructors’ inadequacies that negatively affect students and the overall educational process. These behaviors were categorized under four themes: instructional management, time management, communication management, and behavior management. The results indicated that undesirable behaviors predominantly originate from instructor-related factors. Pre-service teachers reported experiencing such behaviors most frequently within the theme of behavior management. These behaviors primarily diminish their motivation and negatively influence their participation and academic performance. Pre-service teachers emphasized the need for both institutional and individual measures to prevent undesirable faculty members’ behaviors. Full article

Artificial intelligence has been considered as a transformative element capable of reshaping STEM education into equitable, resource-efficient, and scalable learning environments. However, realizing this potential requires striking a careful balance between technological innovation, pedagogical considerations, and ethical concerns. This study sought to examine the implementation of artificial intelligence (AI) tools by STEM university faculty members in Saudi Arabia to promote Sustainable Development Goal 4 (quality education). While doing so, the study attempted to explore how Saudi STEM university faculty members integrated AI tools in their instructional practices and analyze their perceptions towards these tools. To achieve these goals, the study employed an explanatory sequential mixed-methods design. In the first phase of data collection, a close-ended questionnaire was applied to a random sample of (324) STEM university faculty members. The second phase involved gathering qualitative data using a semi-structured interview administered to 12 purposively selected experts. Key quantitative findings revealed an overall AI integration at a medium level with a mean of (2.71) and standard deviation of (0.36) across three instructional practices, namely planning, implementation, and assessment. The highest integration level was in assessment (M = 2.93, medium) while the lowest was in planning (M = 2.61, medium). The results also revealed that the participants’ perceptions towards integrating AI tools were highly positive (M = 4.00, high), albeit with some concerns regarding the effect of excessive and unguided use of AI tools on students’ higher-order thinking skills, particularly the risk of AI functioning merely as an information delivery mechanism rather than serving its more pedagogically valuable role as a brainstorming scaffold. Furthermore, the study unveiled a number of barriers to integrating AI tools, including the weakness of digital infrastructure, lack of professional development, the limited credibility of AI-generated content, and ethical concerns related to academic integrity and copyrights. The research suggests the establishment of a sustainable digital environment by improving the infrastructure, providing specific training in accordance with the principles of sustainability, and implementing policies that promote equitable, transparent, and responsible integration of AI. These strategies can coordinate the growth of technology with the larger needs of the quality of education, inclusion, and sustainability of STEM education in the long term. Full article

Across the United States, equity-oriented STEM initiatives are frequently launched through short-term grants, yet few persist once external funding ends, particularly in economically marginalized communities where institutional capacity is constrained. This longitudinal qualitative study investigates how an out-of-school-time (OST) robotics initiative developed the relational and organizational capacity to transition from a time-limited grant project into a functioning STEM ecosystem that has persisted for a decade. Drawing upon eight years of focus groups and field notes analyzed through integrated deductive and inductive approaches, the study traces how STEM ecosystem tenets were enacted, adapted, and reinforced as partners navigated resource constraints. Findings identify four mutually reinforcing mechanisms that stabilized the ecosystem beyond the grant period: relational infrastructure coordinating work across students, educators, families, university partners, and district leaders; community recognition and collective pride conferring legitimacy and mobilizing local support; parental validation and logistical advocacy; and youth identity development and near-peer leadership renewing commitment and circulating expertise. Together, these mechanisms converted initial grant-funded inputs into durable capacity by reducing coordination costs, strengthening shared responsibility, and embedding STEM participation within community meaning-making. The study contributes to STEM ecosystem research by advancing a theory-building, process-oriented explanation of how equity-focused initiatives achieve durability. Full article

Students’ use of generative artificial intelligence (GAI) to avoid engaging in generative processing can undermine the validity of higher education. In contrast, Flipped-Interaction Intelligent Tutoring Systems (FIITSs) may promote active engagement by leading a personalised dialogue. The underutilisation of FIITS may stem from the lack of a framework to guide prompt creation and from a dearth of published FIITS prompt examples. This article presents the Flipped-Interaction Prompt (FIP) Framework, abstracted from two validated prompts. To achieve this validation, 26 preservice science education students at a South African university engaged with either prompt in a free GAI five times over ten weeks. The resulting 114 engagements, each involving at least 10 flipped-interaction dialogue exchanges, were analysed for implementation fidelity and for students’ engagement in generative processing. Findings were triangulated against questionnaire and group interview responses, as well as written reflections. The technical implementation was closely aligned with the prompt instruction, with minor deviations noted for not providing answers outright. Additionally, students demonstrated moderate to high levels of generative processing. Findings support the efficacy of the abstracted FIP Framework in guiding the creation of FIITS prompts. Investigating instantiations for additional subject domains would further strengthen confidence in this framework. Full article

The rapid advancement of digital and mobile technologies has reshaped the educational landscape, fostering the adoption of interactive and learner-centered methodologies. Among these, immersive technologies such as Augmented Reality (AR), when coupled with next-generation wireless communication systems, hold the potential to revolutionize knowledge acquisition and student engagement. In this paper, we present the design and development of an AR-based educational tool specifically oriented to teaching concepts of fifth-generation (5G) mobile networks. The tool provides a real-time interactive visualization of 3D network components on mobile devices, enabling learners to explore 5G NSA/SA architectures in an accessible manner with real-world environments through mobile devices and their integrated cameras. The application was developed using Blender for 3D modeling and Unity as the rendering engine, incorporating the Vuforia SDK for marker-based AR tracking, and it was deployed on the Android operating system. Unlike traditional static approaches, the proposed solution enables learners to explore complex network architectures and key functionalities of 5G in an interactive and accessible manner. To assess its perceived effectiveness, quantitative surveys were conducted with both university and high school students, focusing on usability, engagement, and perceived learning outcomes. Results indicate that the tool is user-friendly, enhances motivation, and supports conceptual understanding as perceived by participants of 5G technologies. These findings highlight the potential of AR, supported by advanced wireless networks, as a pedagogical strategy to improve STEM education and foster technological literacy in the era of digital transformation. Full article

Background: In modern society, increased awareness of stress stems mainly from the pressures of competitive environments, where the pursuit of academic and professional success places substantial demands on individuals, who must adapt. Drawing on the Transactional Model and the Interactive Model of Human Adaptation to Stress, this paper presents a battery of instruments designed to comprehensively assess university students’ adaptation to stress. Methods: Data were collected from two academic years, using two independent samples of students: a calibration sample (n = 561) and a validation sample (n = 370) to test the psychometric properties of the instruments. The evaluation protocol included the Stress Questionnaire for Students (SQS), the Primary and Secondary Cognitive Appraisal Scale (PSCAS), the Reduced Coping Inventory (Coping-R), and the Academic Achievement Expectations (AAE). Results: Psychometric validation analyses indicated the best versions of the instruments’ battery. Namely, an 18-item version and a six-factor structure for the SQS, a 10-item version and a five-factor structure for the PSCAS, a 12-item version and a four-factor structure for the Coping-R, and a five-item, one-factor structure for the AAE. Conclusions: The proposed instruments can serve as a compound resource for screening for academic stress experiences in university students, and as an original tool to understand the entire process of stress adaptation. Full article

Low-income students remain underrepresented in STEM pathways at community colleges, facing structural and financial barriers that constrain degree completion and transfer. This qualitative cross-case study examines how STEM students perceive and engage with National Science Foundation (NSF) S-STEM scholarship programs across three institutions: two community colleges and one research university serving transfer students. Drawing on semi-structured interviews and focus groups with 62 scholars and institutional stakeholders, findings reveal that financial support is valuable but insufficient. Students identified sustained faculty advising and mentorship, intentional community-building, and institutional validation as the most influential factors in shaping persistence and STEM identity development. Despite programmatic differences—faculty-driven mentoring at Everett Community College, culturally relevant pedagogy at Holyoke Community College, and compensated community engagement at the University of South Florida—all three sites converged on a common principle: belonging must be structurally embedded through relational support systems. Students consistently described S-STEM programs as creating “family” atmospheres that legitimized their presence in STEM fields. The study demonstrates that equity in STEM education requires integrating financial, relational, and cultural supports, transforming persistence from individual endurance into shared institutional achievement. Full article