Search Results (45)

Persistent teacher shortages in rural schools continue to challenge the provision of equitable, high-quality education. While research has documented the difficulties of recruiting and retaining teachers in these contexts, less attention has been given to how the conditions of teaching are shaped through leadership in contexts of workforce instability. This study examines how principals in rural schools in Victoria, Australia, respond to ongoing shortages through place-responsive leadership strategies. Drawing on qualitative interview data from principals across diverse rural school settings, the study identifies three interrelated practices: cultivating place-based recruitment pathways, fostering retention through care, professional development and wellbeing, and sustaining the workforce through community embedded practices. These practices shape the conditions under which teachers work by strengthening relationships, supporting wellbeing, and fostering belonging. The study conceptualises workforce sustainability as a professional condition actively constructed through leadership in context. Full article

Diagnostic imaging is central to clinical decision-making across many care pathways, yet the expertise needed to use these images well is unevenly distributed across health systems, with workforce limitations identified as a major barrier to equitable access, particularly in low- and middle-income countries. Digital education has emerged as one response to this gap, offering scalability, asynchronous and just-in-time access, and the cost-efficiency required for global deployment. This paper examines the digital education portfolio of the International Atomic Energy Agency’s Nuclear Medicine and Diagnostic Imaging Section, hosted mainly on the open-access Human Health Campus, which in 2025 recorded approximately 45,800 active users and 150,000 views across 159 countries. The portfolio combines structured e-learning courses, interactive webinars, virtual conference access through the Livestream programme, and a broader repository of publications, teaching cases, and reference resources, supported by an internal e-learning framework and learning management system infrastructure. Partnerships with international scientific societies further extend the reach of expert knowledge and professional exchange. The paper argues that these initiatives are best understood not as content delivery alone but as a coordinated strategy to support diagnostic quality at the level of the practising physician, extending access to expertise and strengthening the conditions for better practice, while remaining a complement to, rather than a substitute for, supervised clinical training. Full article

The growing centrality of data in contemporary society has intensified calls to expand data literacy across K–12 education, positioning teachers as key agents in this effort. This article traces the emergence of data literacy as a domain of educational research and reports findings from a systematic review of empirical studies on K–12 STEM teacher data literacy published between 2015 and 2025. Guided by the PRISMA framework, searches of Academic Search Complete, APA PsycINFO, and supplementary sources yielded a final sample of 26 studies. The review examines (1) what has been prioritized in research on teaching data literacy and (2) the conceptual models used to study data literacy in educational contexts. Findings indicate that existing research primarily emphasizes teachers’ knowledge, beliefs, and use of technological tools, with comparatively limited attention to classroom enactment and student learning. Conceptually, the field is characterized by the use of diverse and often disconnected frameworks, including competency-based, statistical reasoning, and pedagogical models, resulting in a fragmented knowledge base. We argue that this fragmentation stems from underlying epistemological, methodological, and contextual tensions that have yet to be theoretically reconciled. In response, we propose an integrative perspective that conceptualizes data literacy as a situated, practice-based, and socio-epistemic phenomenon. This framing highlights the dynamic interplay among interpretive reasoning, instructional design, mediational tools, and contextual conditions. Advancing the field requires moving beyond isolated lines of inquiry toward theoretically coherent approaches that connect teacher cognition, instructional practice, and student learning in order to support meaningful and equitable participation in a data-driven world. Full article

This qualitative review of the literature explores current conversations about the impact of Artificial Intelligence (AI) on teacher education in general and pre-service teachers in particular. Recent advances in AI are beginning to influence teacher education, where curricula, practicum, and school field experience now incorporate AI in curriculum-based instruction and as a context for teaching digital literacy, not as an isolated tool. Researchers regularly situate these shifts alongside broader educational practices and policy. There is also substantial literature dealing with pressing ethical and practical questions such as data privacy and algorithmic bias, equitable access to technology, and the challenges experienced by under-resourced schools. Together, these studies indicate that teachers are redefining and reconfiguring both their own teaching and teacher education, enabled by AI in new, more flexible and responsive ways. Within this shifting paradigm, pre-service and in-service teachers are not conceived as mere end-users but as reflective practitioners who take up such tools, critically question their ramifications, and, sometimes, lead the way in utilizing AI in educational practice, including mainly pedagogical practices. To explain the shared components identified in the present review, this paper offers a post hoc conceptual synthesis of eight recurring dimensions of sustainable AI integration in teacher education. Full article

Higher education institutions (HEIs) play a central role in fostering sustainability competencies to address environmental challenges. Within Education for Sustainable Development (ESD) and Sustainable Development Goal (SDG) 4 frameworks, universities must cultivate not only knowledge but also attitudes and behaviours promoting environmental responsibility. This study examines environmental attitudes as sustainability learning outcomes among undergraduate students, analysing differences by gender, age, and discipline in six Andalusian universities. Sustainable Education is defined as an approach integrating environmental, social, and economic sustainability dimensions into teaching to develop active competencies for sustainable development. A cross-sectional survey (n = 1471) used the validated CASEM questionnaire (see previous validation studies) to assess environmental knowledge, environmental education knowledge, and pro-environmental behaviour. The results show significant differences: women outperformed men across all dimensions, students aged over 25 exhibited stronger profiles, and Education Sciences students outperformed Engineering students. A persistent knowledge–behaviour gap emerged, especially in technical fields. These findings reveal curricular inequalities in sustainability integration. Mandatory, discipline-specific ESD—particularly in engineering—may help bridge these gaps and enhance uniform learning outcomes. By employing a multidimensional instrument and stratified sample, this study offers robust evidence of structural disparities, informing policy for equitable Higher Education for Sustainability. Full article

As classrooms become increasingly diverse, achieving equitable and inclusive education is central to the United Nations Sustainable Development Goals (SDGs), particularly SDG 4.7, and to advancing social sustainability in education. Teachers’ multicultural teaching efficacy is a key psychological resource shaping inclusive classroom practice. This study conceptualizes multicultural teaching efficacy as a multidimensional belief system and adopts a person-centered approach to identify latent efficacy profiles among Korean lower secondary school teachers. Using data from the OECD Teaching and Learning International Survey (TALIS) 2024, latent profile analysis was conducted based on seven efficacy indicators, with teachers’ social and emotional learning self-efficacy (TSEL-SE) and participation in multicultural education-related professional learning included as covariates. Five distinct efficacy profiles were identified, revealing heterogeneity in both level and configuration. TSEL-SE consistently predicted profile membership, whereas the effects of professional learning varied across profiles and were strongest among teachers with high TSEL-SE, indicating a conditional interaction effect between psychological and experiential resources. Notably, over one-third of teachers belonged to a structurally low efficacy profile, indicating systemic vulnerability. These findings highlight the importance of differentiated and emotionally responsive teacher education strategies for advancing inclusive practice and contributing to SDG 4.7 and broader social sustainability goals. Full article

This study examines how pre-service teachers construct pedagogical knowledge to promote equity in school settings through reflection and research from an intersectional gender perspective. Situated within current debates on gender, interculturality, and social justice in teacher education, the study explores how pre-service teachers develop critical awareness of inequality and envision transformative practices. Using a qualitative design, three reflective workshops were conducted with students from Early Childhood and Elementary Education programs in Chilean universities. Thematic analysis identified nine principal codes, which were later organized into four analytical domains: knowledge construction, interculturality and inclusion, gender practices, and intersectional meanings. Results show that participants conceive teaching as a political and ethical practice linked to community engagement, democratic coexistence, and affective responsibility. They also challenge traditional gender roles by proposing co-care and collective well-being as foundations for equitable education. Furthermore, intercultural and situated pedagogies emerge as key strategies for connecting theory with practice and validating diversity within the classroom. Participants demonstrate emerging forms of intersectional and gender awareness, questioning the feminization of teaching and proposing notions of co-care and collective well-being that transcend binary gender norms. They also value intercultural and contextual pedagogies, emphasizing empathy, recognition of diversity, and the validation of students’ origins and trajectories. Full article

The purpose of this research is to understand how to better equip pre-service teachers (PSTs) to engage marginalized learners and implement culturally responsive teaching (CRT) practices in elementary Science, Technology, Engineering, Arts, and Mathematics (STEAM) education. This was attempted through a module on CRT and a STEAM Biography assignment, which aimed to heighten teacher candidates’ awareness of the contributions of individuals from marginalized/underrepresented groups, generate discourse on equitable teaching practices, and foster culturally responsive teaching practices. This research study examines data collected by the researchers, who also served as course creators and instructors, from teacher candidate participants enrolled in a STEAM methods course in which this assignment was implemented. Data were collected through a survey instrument and analyzed using content analysis methodology (qualitative and quantitative). Preliminary findings suggest that PSTs developed strong emerging equity-oriented mindsets and recognized the importance of belongingness and connection to meet the needs of all learners. In addition, since most PSTs reported the need for more practical CRT examples for use in their future classrooms, the biography assignment helped to foster the development of positive dispositions toward culturally responsive teaching in the STEAM disciplines. Full article

Student evaluations of teaching (SETs) play a central role in hiring, promotion, and retention decisions in higher education; however, research indicates that they may be influenced by perceptions about instructor identity rather than teaching effectiveness. Guided by role congruity theory, which suggests that gendered expectations influence judgments when individuals occupy roles historically associated with another sex or gender, this study examines how students’ written comments reflect stereotypes, notably those related to gender. Using qualitative analysis of narrative SET responses, we identify recurring linguistic patterns that reveal how gender intersects in shaping perceptions of (Black) cisgender faculty. Results from the study show that women instructors were frequently described in relational and mentorship-oriented language, whereas men instructors were framed in terms of authority, rigor, and intellectual challenge. While both groups received overall positive evaluations, these differentiated descriptors highlight subtle mechanisms through which bias can operate and reinforce normative expectations. We also consider our positionality as cisgender scholars and reflect on the broader cultural and institutional contexts that inform evaluations of teaching, underscoring the need for equitable and reflective evaluation practices to further educational equalities in higher education, including the disruption of cisnormativity. Full article

Background/Objectives: Digital technologies and generative artificial intelligence (AI) are increasingly used in undergraduate dental education, yet international variations in adoption and governance remain insufficiently described. This study aimed to characterise cross-national patterns of educational software use, perceived importance for curriculum delivery, and institutional readiness for AI governance. Methods: A cross-sectional online survey of educators and academic administrators involved in undergraduate dental education captured institutional software use across teaching delivery, learning management, assessment, clinical record systems, imaging, simulation, digital workflows, and generative AI. Results: A total of 97 respondents from 38 countries completed the survey, with most institutions delivering both undergraduate and postgraduate dental education (66.0%). Videoconferencing platforms were widely adopted. LMS provision varied, with Google Classroom, Moodle, and Blackboard most frequently reported. Paper-based clinical records remained in use in 32% of institutions. Among digital PMS/EDR platforms, axiUm, Salud/Titanium, and Carestream Dental were the most prevalent. Adoption of simulation software, CAD/CAM systems, and 3D printing was inconsistent. LMS and videoconferencing were most often rated as essential, whereas simulation, scanners, CAD/CAM, and 3D printing were generally considered useful but not essential. Generative AI use was commonly reported, while formal institutional guidance and policies were frequently absent. Conclusions: Although digital integration in undergraduate dental education is widespread, its distribution is uneven across different regions and technology domains. The combination of rapid generative AI uptake and limited governance highlights an urgent need for institution-level guidance, staff development, and strategic investment to support responsible and equitable integration. Full article

This project presents the development of a Retrieval-Augmented Generation (RAG) system applied to the customization of a Non-Playable Character (NPC), designed as the Non-Playable Character (NPC) of the President of the IDIS Foundation Città della Scienza (City of Science). The NPC acts as both a virtual guide and institutional ambassador within the science center, providing multilingual, interactive, and accessible communication for a broad international audience. Through the integration of generative models with a curated, validated knowledge base, the RAG system enables the NPC to provide accurate, context-sensitive, and up-to-date responses to user queries. Developed by the Teaching Learning Centre for Education and Inclusive Technologies ‘Elisa Frauenfelder’ at the University of Salerno, the system supports the museum’s educational mission by enhancing science communication and fostering inclusive digital engagement. The Non-Playable Character (NPC) features realistic facial animation, movement, and voice synthesis, creating a digital twin capable of simulating human-like interaction. This initiative exemplifies an innovative application of artificial intelligence for an inclusive and equitable quality education and contributes to the development of engaging, accessible, and personalized learning environments. Full article

Inclusive AI-mediated mathematics education for students with learning difficulties refers to a human-centered approach to mathematics teaching and learning that uses artificial intelligence (AI), adaptive technologies, and data-rich environments to support learners who experience persistent challenges in mathematics. These challenges may take the form of a formally identified developmental learning disorder with impairment in mathematics, broader learning difficulties, low and unstable achievement, irregular engagement, or heightened mathematics anxiety that places students at risk of disengagement and poor long-term outcomes. This approach integrates early screening, personalized instruction, and affect-aware support to address both cognitive difficulties and the emotional burden associated with mathematics anxiety. Situated within digitally augmented schools, homes, and community spaces typical of smart cities, it seeks to reduce stress and anxiety, prevent the reproduction of educational inequalities, and promote equitable participation in science, technology, engineering, and mathematics (STEM) pathways. It emphasizes Universal Design for Learning (UDL), ethical and transparent use of learner data, and sustained collaboration among teachers, families, technologists, urban planners, and policy-makers across micro (individual), meso (school and community), and macro (urban and policy) levels. Crucially, AI functions as decision support rather than replacement of pedagogical judgment, with teachers maintaining human-in-the-loop oversight and responsibility for inclusive instructional decisions. Where learner data include fine-grained logs or affect-related indicators, data minimization, clear purpose limitation, and child- and family-friendly transparency are essential. Implementation should also consider feasibility and sustainability, including staff capacity and resource constraints, so that inclusive benefits do not depend on high-cost infrastructures. Full article

This study examines how student–faculty partnerships are experienced within undergraduate mathematics coursework at a majority Hispanic Serving Institution (HSI). Drawing on the Student as Partners (SaP) theoretical framework and using an interpretive phenomenological research design, we examined the lived experiences of student and faculty partners who participated in a series of professional development sessions on student-faculty partnerships and equitable teaching and learning practices in mathematics courses. Findings indicate that student partners’ lived experiences in the partnership program contributed to the development of sense of belonging, self-efficacy, and awareness of the need to link real-world and culturally responsive applications to mathematics learning. On the part of the faculty partners, findings indicate that their lived experiences in the student-faculty partnership program contributed to enhanced self-efficacy through professional growth, development of new perspectives on teaching, and awareness of fostering culturally responsive teaching and learning experiences. The study highlights the transformative potential of student-faculty partnerships in bridging traditional mathematics instruction with students’ lived learning experiences and perspectives on fostering real-world, reflective, and student-centered learning environments for all students. Specifically, the study showcases the promise of partnership models in mathematics settings and points to the need for future research on scalable approaches that support the success of culturally and linguistically diverse students in STEM. Full article

This study investigates how natural language processing (NLP) can support the assessment and learning of science vocabulary among multilingual and multicultural learners, drawing on data from two federally funded studies in the United States. Students define and use target vocabulary in a sentence, with responses transcribed and scored using NLP tools. Employing a mixed-methods design and guided by established socioecological theoretical frameworks, we examine how students’ sociocultural contexts and background knowledge influence their understanding of science word knowledge and applicability. Our findings highlight both the potential and challenges of using AI tools in equitable and culturally responsive ways, offering insights to improve NPL-based assessment tools that support literacy teaching and learning in diverse student populations. Full article

The integration of Artificial Intelligence (AI) into higher education offers new opportunities for inclusive and sustainable learning. This study investigates the impact of an AI-enabled microlearning cycle—comprising short instructional videos, formative quizzes, and structured discussions—on student engagement, inclusivity, and academic performance in postgraduate management education. A mixed-methods design was applied across two cohorts (2023, n = 138; 2024, n = 140). Data included: (1) survey responses on engagement, accessibility, and confidence (5-point Likert scale); (2) learning analytics (video views, quiz completion, forum activity); (3) academic results; and (4) qualitative feedback from open-ended questions. Quantitative analyses used Wilcoxon signed-rank tests, regressions, and subgroup comparisons; qualitative data underwent thematic analysis. Findings revealed significant improvements across all dimensions (p < 0.001), with large effect sizes (r = 0.35–0.48). Engagement, accessibility, and confidence increased most, supported by behavioural data showing higher video viewing (+19%), quiz completion (+21%), and forum participation (+65%). Regression analysis indicated that forum contributions (β = 0.39) and video engagement (β = 0.31) were the strongest predictors of grades. Subgroup analysis confirmed equitable outcomes, with non-native English speakers reporting slightly higher accessibility gains. Qualitative themes highlighted interactivity, real-world application, and inclusivity, but also noted quiz-related anxiety and a need for industry tools. The AI-enabled microlearning model enhanced engagement, equity, and academic success, aligning with SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). By combining Cognitive Load Theory, Kolb’s experiential learning, and Universal Design for Learning, it offers a scalable, pedagogically sustainable framework. Future research should explore emotional impacts, AI co-teaching models, and cross-disciplinary applications. By integrating Kolb’s experiential learning, Universal Design for Learning, and Cognitive Load Theory, this model advances both pedagogical and ecological sustainability. Full article