Search Results (102)

The rapid advancement of Artificial Intelligence (AI) technologies is driving a profound transformation in higher education, shifting traditional learning toward digital, remote, and AI-mediated environments. This shift—accelerated by the COVID-19 pandemic—has made computer-supported collaborative learning (CSCL) a central pedagogical model for engaging students in virtual, interactive, and peer-based learning. However, while these environments enhance access and flexibility, they also introduce new emotional, social, and intercultural challenges that students must navigate without the benefit of face-to-face interaction. In this evolving context, Social and Emotional Learning (SEL) has become increasingly essential—not only for supporting student well-being but also for fostering the self-efficacy, adaptability, and interpersonal competencies required for success in AI-enhanced academic settings. Despite its importance, the role of SEL in higher education—particularly within CSCL frameworks—remains underexplored. This study investigates how SEL, and specifically cultural empathy, influences students’ learning experiences in multicultural CSCL environments. Grounded in Bandura’s social cognitive theory and Allport’s Contact Theory, this study builds on theoretical insights that position emotional stability, social competence, and cultural empathy as critical SEL dimensions for promoting equity, collaboration, and effective participation in diverse, AI-supported learning settings. A quantitative study was conducted with 258 bachelor’s and master’s students on a multicultural campus. Using the Multicultural Social and Emotional Learning (SEL CASTLE) model, the research examined the relationships among SEL competencies and self-efficacy in CSCL environments. Findings reveal that cultural empathy plays a mediating role between emotional and social competencies and academic self-efficacy, emphasizing its importance in enhancing collaborative learning experiences within AI-driven environments. The results highlight the urgent need to cultivate cultural empathy to support inclusive, effective digital learning across diverse educational settings. This study contributes to the fields of intercultural education and digital pedagogy by presenting the SEL CASTLE model and demonstrating the significance of integrating SEL into AI-supported collaborative learning. Strengthening these competencies is essential for preparing students to thrive in a globally interconnected academic and professional landscape. Full article

Integrating information and communication technology (ICT) into STEM education enhances instructional quality and cultivates students’ interdisciplinary problem-solving. STEM teachers’ attitudes—driven by perceived ease of use (PEOU) and perceived usefulness (PU)—are pivotal in ICT adoption, and pre-service training offers a vital opportunity to shape these attitudes. Yet, empirical studies investigating how specific training strategies influence ICT attitudes via PEOU and PU remain scarce. Using a mixed-methods approach combining questionnaires and interviews, the results indicate that pre-service training significantly improved STEM teachers’ attitudes toward ICT-enhanced teaching. Socially interactive strategies (role models and collaboration) enhanced attitudes via PEOU by boosting confidence and reducing technology-related anxiety, cognitive design strategies (reflection and instructional design) operated through PU by emphasizing ICT’s pedagogical value, and experiential feedback strategies (authentic experience and feedback) influenced attitudes through both PEOU and PU, fostering integrated technical and pedagogical development. These findings support an integrated SQD–TAM framework and provide practical guidance for designing pre-service STEM teacher programs to promote sustained ICT adoption in China, and meanwhile highlights the importance of strategically sequencing training to cultivate both technological competence and pedagogical insight among future STEM educators. Full article

Pharmacy and nursing professions collaborate closely in healthcare settings. Effective interprofessional practice is now widely recognised as essential for achieving optimal patient care outcomes. Little has been published on nursing-pharmacy Interprofessional learning (IPL) in a simulated environment in Australian contexts. This study aimed to evaluate whether an IPL activity improved participants’ communication confidence, role understanding, clinical knowledge, and preparedness for hospital placement, while also assessing student satisfaction and identifying areas for improvement. A pedagogically structured teaching and learning model was developed, involving a high-fidelity on-campus simulated hospital ward, supplemented with a virtual online environment to immerse nursing and pharmacy students in a realistic clinical environment to achieve deep learning in preparation for safe practice. An online anonymous survey was conducted to evaluate participants’ experience and preparedness following the simulation. 280 students participated and 52 completed the evaluation. Most students reported that the experience boosted their confidence in communicating with other healthcare professionals (82%), increased clinical/therapeutic knowledge (86%), gave them a better understanding of the roles of nurses/pharmacists within the hospital setting (88%) and left them feeling better prepared for hospital placement (85%). Student free-text responses from the evaluation survey further supported the expansion of the IPL sessions in the future. IPL involving nursing and pharmacy students in a simulated hospital builds confidence in communicating and increases self-reported preparedness for placement. Full article

Promoting active lifestyles among adolescents is essential due to their short-, medium-, and long-term contributions to young people’s holistic development and overall health. Beyond physical well-being, Physical Education foster physical activity, autonomy, social connectedness, motivation and emotional well-being, thus constituting a key dimension of quality education. Background/Objectives: The “Estilos de Vida Activos (EVA)” project is a school-based intervention designed to foster adolescent agency and motivation in adopting active habits. Grounded in the salutogenic model, self-determination theory, and the health-based Physical Education pedagogical model, this protocol describes the design and implementation strategies of a participatory intervention in secondary schools. Methods: A variety of research methods will be used to collect quantitative and qualitative data before, during, and after the intervention. Validated questionnaires will assess active commuting, socioeconomic status, satisfaction of basic psychological needs, motivation, levels and intention to engage in physical activity. Qualitative data include interviews with teachers, Photovoice sessions with students, observation notes, and programme materials. Intervention: The EVA intervention is collaboratively developed by students, teachers, and researchers using participatory action research. It includes needs analysis, participatory activities, and co-design of tailored physical activity programmes. The intervention is described using the Template for Intervention Description and Replication checklist (TIDieR) to enhance transparency and replicability. Conclusions: This protocol presents a theoretically grounded and participatory approach to school-based health promotion. By integrating educational and collaborative strategies, it offers a replicable model that promotes adolescent active lifestyles, from contextual relevance, and pedagogical coherence, serving as a guide for inclusive and sustainable interventions in school settings. Full article

The intersection of Artificial Intelligence (AI) and education is revolutionizing learning and teaching in this digital era, with Generative AI and large language models (LLMs) providing even greater possibilities for the future. The digital transformation of language education demands innovative approaches that combine pedagogical rigor with explainable AI (XAI) principles, particularly for low-resource languages. This paper presents a novel methodology that integrates Business Process Model and Notation (BPMN) with Multi-Agent Systems (MAS) to create transparent, workflow-driven language tutors. Our approach uniquely embeds XAI through three mechanisms: (1) BPMN’s visual formalism that makes agent decision-making auditable, (2) Retrieval-Augmented Generation (RAG) with verifiable knowledge provenance from textbooks of the National Institute of Languages of Luxembourg, and (3) human-in-the-loop validation of both content and pedagogical sequencing. To ensure realism in learner interaction, we integrate speech-to-text and text-to-speech technologies, creating an immersive, human-like learning environment. The system simulates intelligent tutoring through agents’ collaboration and dynamic adaptation to learner progress. We demonstrate this framework through a Luxembourgish language learning platform where specialized agents (Conversational, Reading, Listening, QA, and Grammar) operate within BPMN-modeled workflows. The system achieves high response faithfulness (0.82) and relevance (0.85) according to RAGA metrics, while speech integration using Whisper STT and Coqui TTS enables immersive practice. Evaluation with learners showed 85.8% satisfaction with contextual responses and 71.4% engagement rates, confirming the effectiveness of our process-driven approach. This work advances AI-powered language education by showing how formal process modeling can create pedagogically coherent and explainable tutoring systems. The architecture’s modularity supports extension to other low-resource languages while maintaining the transparency critical for educational trust. Future work will expand curriculum coverage and develop teacher-facing dashboards to further improve explainability. Full article

The rapid development of smart home and building technologies requires educational methods that facilitate the integration of theoretical knowledge with practical, system-level design skills. Computer-assisted tools play a crucial role in this process by enabling students to experiment with complex Internet of Things (IoT) and building automation ecosystems in a risk-free, iterative environment. This paper proposes a pedagogical framework that integrates simulation-based prototyping with collaborative and spatial design tools, supported by elements of design thinking and blended learning. The approach was implemented in a master’s-level Smart Building Systems course, to engage students in interdisciplinary projects where virtual modeling, digital collaboration, and contextualized spatial design were combined to develop user-oriented smart space concepts. Analysis of project outcomes and student feedback indicated that the use of simulation and visualization platforms may enhance technical competencies, creativity, and engagement. The proposed framework contributes to engineering education by demonstrating how computer-assisted environments can effectively support practice-oriented, user-centered learning. Its modular and scalable structure makes it applicable across IoT- and automation-focused curricula, aligning academic training with the hybrid workflows of contemporary engineering practice. Concurrently, areas for enhancement and modification were identified to optimize support for group and creative student work. Full article

This study investigates how student teachers engaged with data science and machine learning (ML) through a collaborative, scenario-based project in a graduate-level online course, AI in STEAM Education. The study focuses on the pilot implementation of the module Responsible AI & Data Science: Ethics, Society, and Citizenship, developed within the EU-funded DataSETUP project. This module introduced student teachers to core data science and AI/ML concepts, with an emphasis on ethical reflection and societal impact. Drawing on qualitative artifacts from the pilot, the analysis applies a five-dimensional framework to examine participants’ thinking across the following dimensions of data engagement: (1) asking questions with data, (2) collecting, cleaning, and manipulating data, (3) modeling and interpreting, (4) critiquing data-based claims, and (5) reasoning about data epistemology. Findings show that student teachers demonstrated growing technical and ethical awareness and, in several cases, made spontaneous pedagogical connections—despite the absence of prompts to consider classroom applications. A supplementary coding lens identified four aspects of emerging pedagogical reasoning: instructional intent, curricular relevance, learning opportunities, and the role of the teacher. These findings highlight the value of integrating critically reflective, practice-based data science education into teacher preparation—supporting not only technical fluency but also ethical, civic, and pedagogical engagement with AI technologies. Full article

The development of online courses aligned with sustainable education principles is crucial for equipping learners with 21st-century skills essential for a sustainable future. As online education expands, predicting achievers (in this research, students with a final grade of seven or higher) becomes essential for optimizing instructional strategies and improving retention rates. This study employs a Linear Discriminant Analysis (LDA) model to predict academic performance in an online theatre course rooted in sustainable education principles. Engagement metrics such as total logins and collaborative assignment completion emerged as decisive predictors, aligning with prior research emphasizing active learning and collaboration. The model demonstrated robust performance, achieving 90% accuracy, 80% specificity, and an 88% correct classification rate. These results underscore the potential of machine learning in identifying achievers while highlighting the significance of sustainable pedagogical components. Future research should explore emotional engagement indicators and multi-course validation to enhance predictive capabilities. By utilizing the e-learning system information, the presented methodology has the potential to assist institutional policymakers in enhancing learning outcomes, advancing sustainability goals, and supporting innovation across the educational and creative sectors. Full article

The evolving landscape of digital education, particularly in professional programs such as Master of Business Administration (MBA) programs, presents unique challenges in effectively transforming tacit professional knowledge into explicit academic understanding. While various pedagogical models address digital learning broadly, few offer structured frameworks that meet the specific needs of educators and students in digital MBA programs. This study addresses this gap by proposing an adapted integration of the Socialization, Externalization, Combination, and Internalization (SECI) model, originally developed by Nonaka and Takeuchi, with multi-layered ‘ba’ (shared context) and distributed leadership principles. The research problem centers on the lack of systematic models that bridge professional experience with academic theory in digital, collaborative environments. The originality of this work lies in the development of the Cadence of Course Design Model—a structured, iterative framework specifically designed to enhance knowledge creation in digital MBA programs. A mixed-methods approach evaluated this model’s effectiveness, combining pre- and post-course surveys with qualitative reflections. Results indicate significant improvement in students’ comprehension (from 3.1 to 4.3 on a five-point scale), strongly confirming hypothesis H1. While students reported high satisfaction with distributed leadership aspects, the correlation between perceived effectiveness and actual improvement was not statistically significant, and high satisfaction with distributed-leadership dynamics; however, the latter did not show a direct statistical link to learning gains, indicating partial support for H2. This study contributes to educational theory by demonstrating how knowledge management principles can complement existing pedagogical models, enhancing student engagement and professional readiness in digitally mediated learning environments. Full article

This paper addresses the urgent need to redefine education strategies for the Net Generation in the context of rapid technological and societal changes. First, the educational challenge is placed within a broader philosophical and cultural framework, focusing on the fluid and evolving nature of knowledge and human experience. Building on the paradigm shift from Web 2.0 to Web 4.0 and the emergence of Education 5.0, this paper investigates the pedagogical implications of these developments. Through conceptual analysis supported by contemporary educational theory, this paper proposes a model of education that integrates personalized learning, real-time feedback, and collaborative, interdisciplinary environments. A special focus is placed on the role of educators as mentors, rather than mere transmitters of information, and on the ethical, social, and emotional dimensions of digital learning. This article highlights the importance of adjusting educational practices to real-life contexts and future challenges of young learners while ensuring that the humanistic essence of education is not lost. Full article

This feature paper explores the comparative pedagogical roles of concrete and virtual manipulatives in preservice mathematics teacher education. Based on a design-based research (DBR) methodology, this study investigates the effects of tangible tools (e.g., base-ten blocks, fraction circles) and digital applications (e.g., GeoGebra Classic 6, Polypad) on preservice teachers’ problem solving, conceptual understanding, engagement, and instructional reasoning. Data were collected through surveys (n = 53), semi-structured interviews (n = 25), and classroom observations (n = 30) in a Spanish university’s teacher education program. Key findings show that both forms of manipulatives significantly enhance engagement and conceptual clarity, but are affected by logistical and digital access barriers. This paper further proposes a theoretically grounded model for simulating manipulatives through ICT-based environments, enabling scalable and adaptive mathematics teacher training. By linking constructivist learning theory, the Technologically Enhanced Learning Environment (TELE) framework, and simulation-based pedagogy, this model aims to replicate the cognitive, affective, and collaborative affordances of manipulatives in virtual contexts. Distinct from prior work, this study contributes an integrated theoretical and practical framework, contextualized through empirical classroom data, and presents a clear plan for real-world ICT-based implementation. The findings provide actionable insights for teacher educators, edtech developers, and policymakers seeking to expand equitable and engaging mathematics education through simulation and blended modalities. Full article

In the digital era, integrating technology into education is essential to meet contemporary educational demands. This systematic review examines the competencies and skills in educational technology required from in-service teachers serving in elementary, middle, and high schools, alongside the training models and methods implemented over the past decade. Following PRISMA guidelines, a systematic search was conducted in the Scopus, WOS, and ERIC databases, focusing on studies published between 2014 and 2025. A total of 82 studies were selected based on predefined inclusion criteria. The review analyzed competencies, skills, training models, and methods, identifying prevailing trends in teacher training for educational technology. The review identified seven key competencies, emphasizing skills such as using software, educational applications, and platforms, as well as virtual collaboration. The TPACK model emerged as the predominant framework for teacher training, encompassing various methods, including professional learning communities and Problem-Based Learning. A progressive and structured approach is necessary to develop teachers’ competencies, encompassing both basic technical skills and the adoption of emerging technologies. Continuous and context-specific teacher training in educational technology is critical for sustainable integration and pedagogical transformation. Barriers such as limited infrastructure and resistance to change highlight the need for strong institutional support and mentorship. Future research should aim to expand to diverse educational settings to validate and extend these findings. Full article

This systematic review explores the number and role of the UNO^® card game and UNO-type learning media across different levels of mathematics education. UNO^®-inspired games have gained recognition as innovative pedagogical tools that promote engagement, motivation, and active learning among students in various mathematics topics in the last few years. This review synthesises existing research on the application of these games in preschool, primary, secondary, and higher education settings. We employed a hybrid approach, combining database searches and the snowball method, to ensure a comprehensive and thorough selection of the relevant literature for our systematic review. Published research studies between January 1980 and June 2025 that employed UNO^® or UNO-type card games in education were collected. Forty-one research studies met the inclusion criteria for this review. We sought answers to three research questions. At first, we made a time analysis to organise the collected records. Based on the collection, we identified the mathematical topics for which teachers and researchers used the original UNO^® game or developed UNO-type games at various educational levels, as well as the role of UNO^® and UNO-type games in mathematics education. In approximately 68.29% of the cases, the authors introduce their own educational games modelled after UNO^®. In contrast, just less than one-third of the records (31.71%) utilise the original UNO^® playing cards in the teaching–learning process. The findings indicate that UNO-type educational maths games can enhance conceptual understanding, foster collaborative skills, and improve learning outcomes when appropriately integrated into curricula. This review also offers educators recommendations for effectively introducing these games at various educational levels. We aim to provide an evidence-based, well-structured insight into the potential of UNO^® and UNO-type learning tools. Full article

The integration of artificial intelligence (AI) in education offers novel opportunities to enhance critical thinking while also posing challenges to independent cognitive development. In particular, Human-Centered Artificial Intelligence (HCAI) in education aims to enhance human experience by providing a supportive and collaborative learning environment. Rather than replacing the educator, HCAI serves as a tool that empowers both students and teachers, fostering critical thinking and autonomy in learning. This study investigates the potential for AI to become a collaborative partner that assists learning and enriches academic engagement. The research was conducted during the 2024–2025 winter semester within the Pedagogical and Teaching Sufficiency Program offered by the Audio and Visual Arts Department, Ionian University, Corfu, Greece. The research employs a hybrid ethnographic methodology that blends digital interactions—where students use AI tools to create artistic representations—with physical classroom engagement. Data was collected through student projects, reflective journals, and questionnaires, revealing that structured dialog with AI not only facilitates deeper critical inquiry and analytical reasoning but also induces a state of flow, characterized by intense focus and heightened creativity. The findings highlight a dialectic between individual agency and collaborative co-agency, demonstrating that while automated AI responses may diminish active cognitive engagement, meaningful interactions can transform AI into an intellectual partner that enriches the learning experience. These insights suggest promising directions for future pedagogical strategies that balance digital innovation with traditional teaching methods, ultimately enhancing the overall quality of education. Furthermore, the study underscores the importance of integrating reflective practices and adaptive frameworks to support evolving student needs, ensuring a sustainable model. Full article

The sustainable development of teaching expertise in research-intensive universities remains a critical global challenge. This study investigates the distinctive characteristics of expert teachers—exemplary faculty in research universities—addressing their developmental trajectories and motivational mechanisms within prevailing incentive systems that prioritize research productivity over pedagogical excellence. Employing grounded theory methodology, we conducted iterative coding of 20,000-word interview transcripts from 13 teaching-awarded professors at Chinese “Double First-Class” universities. Key findings reveal the following: (1) Compared to the original K-12 expert teacher model, university-level teaching experts exhibit distinctive disciplinary mastery—characterized by systematic knowledge structuring and cross-disciplinary integration capabilities. (2) Their developmental trajectory transcends linear expertise acquisition, instead manifesting as a problem-solving continuum across four nonlinear phases: career initiation, dilemma adaptation, theoretical consciousness, and leadership expansion. (3) Sustainable teaching excellence relies fundamentally on teachers’ professional passion, sustained through a virtuous cycle of high-quality instructional engagement and external validation (including positive student feedback, institutional recognition, and peer collaboration). Universities must establish comprehensive support systems—including (a) fostering a supportive and flexible learning atmosphere, (b) reforming evaluation mechanisms, and (c) facilitating interdisciplinary collaboration through teaching development communities—to institutionalize this developmental ecosystem. Full article