دانلود کتاب هوش مصنوعی در آموزش، بیست و ششمین کنفرانس بین‌المللی، AIED 2025

Welcome to the 26th International Conference on Artificial Intelligence in Education, taking place from July 22–26, 2025 in the vibrant city of Palermo, Italy. AIED 2025 is ranked A in ICORE , in the top 14.92% of all 784 ranked venues, and clearly growing and attracting more submissions, this year with over 800 initial submissions. Thus, as we celebrate over a quarter of a century of advancing the science and engineering of intelligent human-technology ecosystems that support learning, this edition marked a significant evolution in our conference structure, with the introduction of a dedicated track-based system. This new format was designed to capture the growth of the area, as well as the dynamic and multifaceted nature of research in educational AI, reflecting the rapid pace and expanding impact of the field. The theme for AIED 2025—“AI as a Catalyst for Inclusive, Personalised, and Ethical Education: Empowering Teachers and Students for an Equitable Future”—embodies our vision for a transformative future in education. Artificial Intelligence is progressing at an unprecedented rate, with generative AI and related technologies spearheading this transformative shift. As these innovations reshape both teaching and learning processes, they unlock novel opportunities for creating personalised and dynamic learning experiences. Even as traditional AI techniques continue to evolve and enrich our understanding, true change lies in leveraging these advancements to provide educators with powerful tools for deeper insights, tailored instruction, and increased student engagement. At the heart of this transformation is the commitment to equity and ethical practice. By harnessing AI’s capacity to personalise learning experiences, we can address the diverse needs of students and reduce educational disparities, especially among underserved and marginalised communities. Equally important is the need to integrate AI responsibly, ensuring that fairness, transparency, and privacy remain paramount in our educational practices. This dual commitment—to innovation and to ethical inclusion—was the cornerstone of our conference theme. The conference program comprised seven thematic tracks: – Track 1 – AIED Architectures and Tools: This track highlighted innovative engineering advances, from multi-agent systems and tangible interfaces to scalable, domain-specific applications across a variety of educational contexts. – Track 2 – Machine Learning and Generative AI: Emphasising data-driven techniques and generative models, this track explored novel algorithms and computational approaches that enhance predictive and adaptive functionalities in educational environments. – Track3–Learning, Teaching, and Pedagogy: Focusing on empirical and theoretical work, this track examined the impact of AI on teaching practices, learner engagement, and the evolution of both formal and informal learning experiences. – Track 4 – Human-Centred Design and Design-Based Research: This track addressed the design principles and interactive strategies that place educators and learners at the centre, fostering collaborative human-AI partnerships to promote agency and effective decision-making. – Track 5 – Teaching AI: Dedicated to advancing AI literacy, the research in this track explored methods and technologies that demystify AI, empowering individuals to understand, utilise, and critically evaluate its capabilities. – Track 6 – Ethics, Equity, and AIED in Society: This track delved into the societal dimensions of AI in education, with an emphasis on fairness, transparency, privacy, and strategies to mitigate educational disparities. – Track 7 – Theoretical Aspects of AIED and AI-Based Modeling for Education: This track emphasised conceptual and theoretical contributions providing deeper insights into cognitive, motivational, and socio-cognitive processes, underpinning rigorous models of learning and teaching. AIED 2025 attracted an exceptionally broad range of submissions. We received over 800 submissions across all tracks, of which 711 met the eligibility criteria and were accepted for review. From the full paper submissions, 130 were accepted as full papers, and an additional 129 were accepted as short papers. The acceptance rates for both full and short papers were 18%, respectively. Every paper and presentation at AIED 2025 underwent a rigorous, double-blind peerreview process designed to ensure the highest scholarly standards and fair evaluation, with an average of three reviews per submission. This meticulous process—drawing on the expertise of leading researchers, seasoned reviewers, and senior committee members— culminated in an outstanding program that spanned the full spectrum of AIED research and practice.