[{"data":1,"prerenderedAt":49},["ShallowReactive",2],{"article-detail-journal":3,"article-detail:89":16},["Reactive",4],{"title":5,"description":6,"cover_image":7,"overview":8,"issn":9,"publisher":10,"publishing_mode":11,"impact_factor":9,"impact_factor_5year":9,"submission_to_decision_days":9,"downloads":12,"id":13,"created_at":14,"updated_at":15},"Artificial Intelligence for Education","Artificial Intelligence for Education is a peer-reviewed, open-access, interdisciplinary journal focusing on the development, application, evaluation, and governance of artificial intelligence in education. The journal serves as a scholarly platform for research that connects AI technologies with educational theory, learning science, pedagogy, assessment, policy, and institutional innovation.\n\nThe journal welcomes studies that combine technical rigor with educational significance. It encourages submissions that not only propose AI methods or systems, but also explain how such approaches improve learning quality, teaching effectiveness, educational equity, learner development, or institutional decision-making.\n\nThrough its open-access model, Artificial Intelligence for Education aims to promote global knowledge sharing and support responsible, inclusive, and human-centered AI innovation in education.","\u002Fuploads\u002Fjournals\u002F1\u002Fd6013241332a4908bec5d8b2135e3e47_ai4edu_cover_image.png","\u003Cp>\u003Cstrong>Journal Title: \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Artificial Intelligence for Education\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Journal Type:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Peer-reviewed, open-access, interdisciplinary journal\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Aim and Mission:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp style=\"text-align: justify;\">Artificial Intelligence for Education is a peer-reviewed, open-access journal dedicated to advancing research, practice, and innovation at the intersection of artificial intelligence and education. The journal aims to provide a professional platform for scholars, educators, engineers, and practitioners to publish high-quality work on AI-enabled learning, teaching, assessment, governance, and educational transformation.\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Scope:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The journal welcomes submissions in areas including, but not limited to:\u003C\u002Fp>\n\u003Cp>• AI-supported teaching and learning\u003Cbr>\n• Intelligent tutoring systems and educational agents\u003Cbr>\n• Learning analytics and educational data mining\u003Cbr>\n• Human–AI collaboration in education\u003Cbr>\n• Large language models and generative AI for education\u003Cbr>\n• AI ethics, governance, fairness, privacy, and safety in education\u003Cbr>\n• Personalized, adaptive, and lifelong learning systems\u003Cbr>\n• AI for K–12, higher education, vocational education, and lifelong learning\u003Cbr>\n• Smart classrooms, digital learning environments, and educational platforms\u003Cbr>\n• AI-assisted curriculum design, assessment, feedback, and evaluation\u003Cbr>\n• Educational robotics, virtual reality, and immersive learning\u003Cbr>\n• Policy, management, and institutional transformation in AI education\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Article Types:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Research Articles, Review Articles, Perspective Articles, Communications and Letters, Editorials.\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Open Access Policy:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>This journal is a Gold Open Access journal. All published articles are freely and permanently available online immediately upon publication. Readers may read, download, copy, distribute, and link to the full text of articles, subject to the applicable Creative Commons license.\u003C\u002Fp>\n\u003Cp>The journal currently does not charge article processing charges (APCs). Any future APC policy will be clearly disclosed on the journal website.\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Copyright and License:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp style=\"text-align: justify;\">Authors retain the copyright of their work. Articles published in Artificial Intelligence for Education are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing free use, sharing, distribution, reproduction, and adaptation in any medium, provided that proper attribution is given. This policy supports open knowledge exchange and responsible reuse of research for AI-driven educational innovation.\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Publisher:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Metaverse Learning Press LLC\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Sponsoring \u002F Affiliated Organization:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Association of Global Intelligent Science and Technology\u003C\u002Fp>\n\n\u003Cp>\u003Cstrong>Publication Frequency:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Quarterly, 4 issues per year.\u003C\u002Fp>",null,"Association of Global Intelligent Science and Technology","Gold Open Access",0,1,"2026-05-14T04:29:06.553512Z","2026-05-19T13:55:06.843980Z",{"id":17,"title":18,"abstract":19,"type":20,"doi":-1,"keywords":21,"authors":26,"author_ids":-1,"issue":42,"page_start":-1,"page_end":-1,"view_count":45,"download_count":46,"published_date":-1,"created_at":47,"funds":48},89,"iCDIOs and the Shift Toward Human AI Co Creation in Engineering Education","Against the backdrop of the deep integration of generative artificial intelligence into engineering activities, the traditional CDIO-based engineering education model is increasingly facing pressure for structural transformation. This study systematically analyzes the limitations of CDIO from the perspectives of agency structure, competency focus, collaborative mechanisms, and governance requirements. Building upon this analysis, the paper further develops the iCDIOs framework from the perspective of Human-AI Co-Creation, emphasizing the educational significance of the “i” dimension in innovation and intelligent literacy, as well as the “s” dimension in service orientation, safety governance, sustainability, and responsibility. Furthermore, the study discusses how Human-AI Co-Creation functions as a core operational mechanism that reshapes engineering competency models, curriculum organization, classroom interaction, and evaluation processes. Representative teaching practices involving courses on Large Language Models (LLMs), AI Agents, and Automated AI are further introduced to illustrate how AI can participate throughout lecture preparation, project development, tutoring, and assessment under interdisciplinary educational settings. The study argues that engineering education is undergoing a transition from a traditionally human-centered paradigm toward a Human-AI Co-Creation paradigm, with iCDIOs providing a systematic framework for engineering education transformation in the AI era.","regular",[22,23,24,25],"iCDIOs","Human-AI Co-Creation","engineering education","CDIO",[27,35],{"id":28,"display_name":29,"first_name":30,"middle_name":-1,"last_name":31,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":33,"articles":34},30,"Li Yuchen","Yuchen","Li","",[],[],{"id":36,"display_name":37,"first_name":38,"middle_name":-1,"last_name":39,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":40,"articles":41},31,"Kovacs Levente","Levente","Kovacs",[],[],{"id":28,"volume_number":13,"issue_number":13,"title":-1,"cover_image":43,"publish_date":-1,"is_current":44},"\u002Fuploads\u002Fissues\u002F30\u002F1f286088a0b24004a9e30ce512a717fe_793322e057af85236e9ebe1e6871a262.png",true,96,4,"2026-05-21T03:10:32.339969Z",[],1780657178665]