Search Results (375)

Background/Objectives: Simulation-based education often lacks personalization, focusing on technical competence rather than individual student profiles. This protocol describes a study designed to evaluate whether adapting gamified narratives to nursing students’ personality profiles has the potential to support academic performance in obstetrics. This study aims to validate the integration of psychometric profiling and AI as a sustainable strategy for personalized clinical training. Methods: A cluster-randomized controlled longitudinal pilot trial will be conducted at the University of Atlántico Medio. The protocol has been submitted for registration at ClinicalTrials.gov (Registration Pending). Thirty-eight second-year nursing students meeting inclusion criteria (excluding repeaters or those with prior specialized training) will be assigned by natural practice to either a control group (generic gamification) or an experimental group (gamification adapted according to Player Personality and Dynamics Scale profiles using AI-generated content). The intervention comprises four clinical simulation sessions focusing on pregnancy and childbirth, which are managed via the Wix platform. The primary outcome is academic performance, measured as “Learning Gain” (post-test scores minus pre-test scores). Secondary outcomes include student satisfaction measured via the Gameful Experience Scale. Data will be analyzed using Mann–Whitney U tests to compare overall efficacy and intragroup evolution. To minimize observer bias, knowledge assessments will utilize automated, objective scoring, and participants will be blinded to the study hypothesis. Expected Outcomes: The study aims to establish the technical and pedagogical feasibility of integrating AI-adapted narratives into nursing curricula. It is anticipated that the personalized approach will show positive trends in learning gains and engagement patterns, providing a baseline for larger multicenter trials. Conclusions: This protocol presents a framework for “Precision Education” in nursing, shifting from “one-size-fits-all” simulations to student-centered adaptive training. The use of Generative AI makes such personalization sustainable and cost-effective for health science faculties. Full article

Self-regulated learning (SRL) is a fundamental competence for academic transition and success in higher education, especially in health sciences, where autonomy and learning management are essential. This systematic review analyzed the relationship between SRL, academic performance, and student well-being among undergraduate health sciences students. Following the PRISMA protocol, 39 articles published between 2015 and 2025 on Web of Science, Scopus, and PubMed databases were selected. The consolidated sample consisted of 24,835 participants. The methodological quality of the selected studies was assessed using the Newcastle–Ottawa scale (NOS). A predominantly positive association was found between high levels of SRL and academic performance (GPA) (with correlation coefficients ranging from r = 0.11 to r = 0.55 in the primary studies). Furthermore, evidence from standardized self-report questionnaires in the reviewed literature indicates that several studies report female students showed higher levels of organization and planning, but these findings were not consistently observed across all studies. SRL acts as a key protective factor against stress, anxiety, and academic burnout. However, a “stagnation paradox” was identified: SRL skills do not always evolve linearly, often showing regression or stagnation in advanced clinical years due to the high cognitive load and insufficient support structure in those environments. Regarding sociodemographic variables, female students reported higher levels of planning and responsibility. SRL does not develop spontaneously with academic progress. Therefore, higher-education institutions must implement systematic and intentional pedagogical strategies from the early years of training to foster student well-being and the development of resilient professionals. Full article

The combination of Artificial Intelligence (AI) and Formative Assessment (FA) in Teacher Education explores how emerging technologies can enhance teaching practices and professional development. AI tools can provide personalized feedback, identify learning needs, and support reflective practice among educators. Integrating AI-driven formative assessment methods allows for continuous evaluation of teaching competencies, promoting adaptive learning, data-informed decision-making, and improved instructional quality in teacher education programs. The purpose of this study was to conduct a systematic review of the use of Formative Assessment (FA) and Artificial Intelligence (AI) in Teacher Education (TE) during the period 2020–2025 (inclusive). The review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, which ensures a rigorous, transparent, and reproducible process in the selection and analysis of studies. To this end, scientific articles published in the Scopus, Web of Science and Dialnet databases were reviewed, considering publications in English and Spanish. The objective was to identify trends, methodological approaches, results, and research gaps that show how AI is being integrated, or not, into FA processes in TE. The review also sought to analyze the impact of AI on student participation in assessment, feedback, decision-making, and the learning and assessment process itself, synthesizing the current evidence on the relationship between AI and FA in TE. Full article

Engineering education often emphasizes technical competencies while underemphasizing and devaluing the social, ethical, and political contexts of engineering systems. This gap is particularly pronounced in middle-year courses, where students develop technical fluency but rarely confront the sociotechnical complexity of real-world problems. We propose sociotechnical judgment as a framework to help students see the intimately intertwining nature of technical knowledge and social, ethical, and contextual reasoning, using energy systems—particularly offshore wind—as an illustrative domain. We designed three course-integrated case studies in thermodynamics, circuits, and statics/dynamics to embed sociotechnical judgment in middle-year engineering courses. These cases include pedagogical strategies, such as project-based learning, problem-based learning, and role-play exercises connecting technical analysis with social, environmental, and policy considerations. The design of these case studies is rooted in real-world problems surrounding U.S. offshore wind, engineering science learning outcomes, and ABET student outcomes. In these pedagogies, we have created opportunities for students to analyze technical systems while engaging with social, ecological, and political factors. Offshore wind projects, including turbine siting, transmission system design, and efficiency trade-offs, provide opportunities to operationalize sociotechnical reasoning in authentic, regionally relevant contexts. Sociotechnical judgment provides a practical framework for bridging technical competency and contextual reasoning in engineering education. Integrating sociotechnical cases into core courses will prepare students to navigate complex, real-world systems through engagement with ethical, social, and environmental considerations inherent in engineering practice. Full article

The future of innovation and economic growth depends on our ability to nurture the next generation of scientists. The global shortage of qualified STEM (Science, Technology, engineering, Mathematics) teachers has led many countries to expedite the transition of subject-matter experts from industry and academia into teaching roles. These second-career science student teachers typically participate in accelerated training programs designed to address urgent shortages. This study addresses a gap in the literature regarding effective pedagogical interventions for career-changing professionals in STEM fields, focusing on the experience and transformation of second-career science student teachers. This qualitative case study explores how a Challenge-Based Learning (CBL) course fosters the development of pedagogical competences via developing an instructional unit collaboratively, among five second-career science student teachers enrolled in an accelerated teacher education program. Drawing on data collected through instructors’ field notes, iterative work-in-progress lesson drafts, and reflective final papers, the study employs qualitative content analysis to trace changes in participants’ instructional approaches and professional identity. Findings reveal that engagement with the CBL framework promoted a significant shift from teacher-centered to learner-centered instruction, as participants increasingly integrated collaborative learning, inquiry-based activities, and reflective practices into their lesson planning and classroom teaching. The iterative nature of CBL, which emphasizes real-world problem-solving and structured opportunities for reflection and peer feedback, was instrumental in supporting participants’ adaptive expertise and confidence as novice teachers. Moreover, the course experience contributed to the emergence of a professional teaching identity, with participants reporting greater self-efficacy, a stronger sense of belonging to the teaching community, and increased motivation to persist in the profession. The results underscore the potential of integrating CBL and learning sciences principles into accelerated teacher preparation programs to enhance both cognitive and affective dimensions of teacher development. Full article

This article examines the impact of students’ prior experience with English on their academic success in a university English course. The study is based on a survey conducted among students majoring in Computer Science, Business Information Technology (BIT), and Software Technology and Design (STD) at the Faculty of Mathematics and Informatics (FMI), University of Plovdiv, at the beginning of their general English language course. We focus on students’ self-assessed language competence at the start of the course and examine how these self-assessments correspond to their actual test results. Using high-performance machine learning methods, we identify background factors that influence academic achievement, including the number of years spent learning English, the type of high school attended, and informal exposure to English. The findings aim to support more effective and tailored approaches to teaching English in technical and scientific disciplines. Full article

This paper examines the relation between transversal skills, economic education, and financial literacy in modern education. A systematic literature review was conducted in accordance with the PRISMA 2022 methodology, resulting in the selection and analysis of 49 peer-reviewed articles from Scopus and Web of Science. The paper explores theoretical considerations, pedagogical strategies, and the possibility of integrating these fields into educational practice. It identifies three specific points of research interest: firstly, to identify trends in the integration of transversal competencies into economic education; secondly, to assess how transversal skills impact the development of financial literacy; and thirdly, to create recommendations for educational programs and teaching methods. The results highlight that transversal skills—particularly critical thinking, collaboration, being digitally literate, and problem-solving—play an indispensable role in both learning economics and building financial literacy. While students of economic education gain insight into issues such as resource management, market mechanisms, and labor economics, financial literacy provides them with knowledge on personal finance issues, sustainability, and informed decision-making. An original aspect of the research is the attempt to merge transversal skills with economic education and financial literacy within a single framework. The results also indicate future directions of educational reform and point to ways to enhance students’ financial well-being and entrepreneurial capacity. Full article

Intercultural Competence (IC) has gained prominence as a strategic priority in higher education; however, the socio-emotional mechanisms through which it develops in structured short-term academic mobility remain underexplored. This qualitative study addresses this gap by examining the intercultural learning experiences of undergraduate, graduate, and doctoral students from Trakia University, Bulgaria, who participated in a two-week winter academic program in Zhuhai, China, hosted by the Beijing Institute of Technology. Employing a triangulated qualitative design that combines semi-structured interviews, participant observation, and content analysis of institutional discourse, the study foregrounds emotional regulation as a central process underpinning intercultural competence development. The findings indicate that navigating culturally unfamiliar situations and “disorienting dilemmas” within a multicultural co-living environment facilitated stable behavioral adaptations, including active listening, reflective pausing, empathy, and tolerance. These adaptations supported emotional well-being by reducing uncertainty and fostering a sense of belonging and psychological safety within the multicultural learning community. Repeated emotional engagement with cultural difference enabled participants to internalize values of openness and mutual respect, contributing to the formation of intercultural attitudes that extended beyond the immediate learning context. These processes functioned as a feedback loop through which intercultural competence became integrated into participants’ emerging personal and professional identities. The study demonstrates that even short-term academic exchanges, when pedagogically structured and emotionally immersive, can foster meaningful intercultural learning, leadership readiness, and professional orientation. By highlighting emotional regulation as a pathway to emotional well-being (belonging and psychological safety) and to identity integration, the findings contribute to broader social science discussions on student well-being and identity formation in transnational higher education. Full article

The rapid integration of artificial intelligence (AI) into higher education is reshaping how learners develop academic, linguistic, and research competencies. This mixed-methods study examines how second-year EFL computer science students employ prompt engineering techniques across four task domains—research summarization, academic video note-taking, style transformation, and concept mapping—within a smart learning environment. Sixty-nine students completed a structured survey requiring AI-assisted draft generation followed by student-led revision. Quantitative analyses included descriptive statistics, chi-square tests, Cramer’s V, t-tests, ANOVA, Kruskal–Wallis tests, and three text-similarity measures (cosine, Jaccard, and Levenshtein). Qualitative evidence was drawn from students’ revised outputs and reflective responses. Results indicate that students consistently preserved semantic meaning while significantly rephrasing AI-generated text, demonstrating moderate conceptual alignment but substantial lexical and structural transformation. Frequent AI users said they were better at searching and revising, but the type of prompt didn’t have much of an effect on how deep the revision was or how well they learned. Iterative prompting and revision emerged as central drivers of metacognitive growth, academic language development, and sustainable learning behaviors. Across tasks, students viewed AI prompts as effective scaffolds for organizing information and synthesizing multimodal input, though reliance varied by learner. The findings underscore that sustainable AI use in EFL technical education depends not on AI output alone, but on structured prompting, iterative human revision, and critical engagement—practices that cultivate autonomy, digital literacy, and long-term academic resilience. Full article

In Philippine state universities and colleges (SUCs), faculty are mandated to balance instruction, research, and extension as “trifocal” functions. Yet, research often competes with heavy teaching loads, administrative work, and community engagement, especially in science disciplines that demand laboratory-based and fieldwork. This qualitative multiple-case study examined how twelve science faculty members across academic ranks in a Philippine SUC system enact the research function within their trifocal roles. Drawing on semi-structured interviews, institutional and policy documents, and cross-case analysis, this study employed a case study design through the lens of systems thinking to identify how research function is embedded in institutional structures and professional life-worlds. Findings show that faculty construct research as (1) a catalyst that propels instruction and anchors extension programs; (2) a strategic requirement intertwined with promotion and career progression; and (3) a relational and infrastructural practice dependent on collegial networks, mentoring, and institutional support systems. Feedback loops link these themes wherein research output fuels promotion and time protection, which, in turn, shape opportunities for further research and mentoring. Additionally, verbatim accounts reveal how faculty members navigate structural pressures, such as bureaucratic processes and workload policies, while framing research as a moral and professional responsibility. This article argues that designing research support in SUCs requires moving beyond compliance-driven metrics to system-level arrangements that honor research as a form of scholarly work deeply connected with teaching quality and community impact. Implications are suggested for workload policy, mentoring, and research-capable learning environments in the Philippines and comparable higher education contexts. Full article

This paper presents the findings of a study on computer science teachers’ views regarding the reform of the computer science curriculum and its implementation in Greek model and experimental lower secondary schools (called Gymnasiums). Research data were collected through interviews with 19 computer science teachers who implemented the new curriculum in 12 model or experimental junior high schools. The results showed that the teachers acknowledged the important role of the computer science curriculum, which is perceived as a tool guiding their instruction. They have also understood and adopted, to a large extent, many elements of the instructional framework proposed by the new curriculum: (a) student-centred teaching approaches; (b) learning activities that promote students’ active participation, inquiry, and collaborative learning; (c) focus on the expected students’ learning outcomes related to developing a range of computational competences such as digital skills, computational thinking, problem-solving skills, creativity, and collaboration; and (d) students’ assessment is constructively aligned with the anticipated learning outcomes, including the learning activities implemented as well as their digital-computational creations. Full article

This article adopts a focused comparative perspective on two medical schools to illuminate shared strengths and systemic challenges across educational and regulatory contexts. Undergraduate medical education at the University of New Mexico Health Sciences Center (USA) and the Universidad Miguel Hernández (Spain) is analyzed, highlighting common strengths, including solid biomedical foundations, early clinical exposure, and the growing adoption of competency-based approaches. Despite these assets, both institutions face convergent challenges, including rigid curricula, faculty constraints, and difficulties sustaining student engagement in active learning, exacerbated by rapid digital transformation. The analysis supports recommendations to increase curricular flexibility and personalized instruction, strengthen student-centered and interprofessional learning, optimize educational technology, and reform assessment toward continuous feedback and the demonstration of clinical competence. Full article

This article conceptualizes active tourism as a strategy for promoting physical activity (PA) among children and adolescents and examines the literature that has analyzed its different modalities and their application across diverse settings and contexts. A systematic review (2015–2025) was conducted in accordance with PRISMA 2020, with searches performed in PubMed, Scopus, and Web of Science. Predefined inclusion and exclusion criteria were applied, alongside rigorous screening procedures and methodological quality assessment. Twelve studies were included, covering experiential and knowledge-oriented modalities implemented in curricular, extracurricular, family, and community contexts. The results show that active tourism increases PA frequency, duration, and intensity, and enhances physical fitness indicators as well as psychosocial variables (intrinsic motivation, enjoyment, autonomy, and competence). Experiential modalities and rural/natural environments predominate, generally yielding stronger effects than urban or mixed settings; however, these latter contexts broaden reach and equity by integrating activities into daily routines. Conceptual heterogeneity and the scarcity of longitudinal studies limit the estimation of sustained effects and the comparison across modalities. At present, active tourism emerges as a transversal approach to promoting meaningful PA in children and adolescents, integrating movement, learning, and well-being. Comparative and longitudinal designs capable of quantifying dose–response patterns by modality and setting are recommended, as well as policies that strengthen school–family–community linkages to enhance adherence and reduce inequalities in access to active opportunities. Full article

The rapid spread of generative artificial intelligence (AI) in higher education creates both opportunities for innovation and challenges for academic integrity, ethical use, and students’ critical thinking, particularly in scientific writing. This study examines whether a synchronous live coaching format can support students in developing reflective and responsible AI practices. A mixed-methods cross-sectional evaluation was conducted at a German distance-learning university with a strong focus on health and social sciences. An online survey was administered to 168 students who participated in voluntary live coaching sessions on “AI in Scientific Writing”. Quantitative items assessed perceived competence gains, ethical awareness, and confidence in handling AI tools, while open-ended questions captured qualitative feedback on the format’s strengths and improvement needs. Students reported that the coaching enhanced their understanding of responsible AI use and scientific integrity and valued the opportunity for open discussion, peer interaction, and the supportive attitude of instructors. Reflective and dialogic elements were perceived as particularly beneficial. Overall, the findings suggest that synchronous live coaching can contribute to fostering ethical awareness and higher-order thinking in AI-supported academic work, especially when it integrates structured input with dialogue, reflection, and peer learning. Full article

This study investigates how holistic teaching practices and institutional support at community colleges shape science, technology, engineering, and mathematics (STEM) students’ momentum and self-efficacy in career-relevant competencies. Using survey data from three community colleges, we apply structural equation modeling (SEM) to assess these relationships while accounting for institutional variation using multi-group analysis. Our findings demonstrate that holistic teaching practices are positively associated with students’ curricular, cognitive, and meta-cognitive momentum, indicating that integrated, supportive classroom instruction contributes to sustained engagement and self-regulated learning in STEM pathways. Holistic teaching practices also show a marginal positive relationship with career readiness self-efficacy and professional and interpersonal self-efficacy, with cognitive and meta-cognitive momentum mediating these associations. In contrast, institutional support is not related to students’ momentum but is positively associated with professional and interpersonal self-efficacy, which may point to its role in shaping broader skill development independent of short-term academic engagement. These findings suggest that holistic teaching practices and institutional support differentially contribute to students’ academic momentum and career-related self-efficacy, which highlights the importance of coordinated efforts across classroom and institutional levels within the broader STEM ecosystem in fostering both short-term engagement and long-term professional competencies among diverse community college STEM learners. Full article