[{"data":1,"prerenderedAt":66},["ShallowReactive",2],{"article-detail-journal":3,"article-detail:92":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":28,"author_ids":-1,"issue":58,"page_start":-1,"page_end":-1,"view_count":62,"download_count":63,"published_date":-1,"created_at":64,"funds":65},92,"K21 as a Finite Educational Backbone in the Age of AI: Toward an AI-Integrated Lifelong Learning Architecture","As artificial intelligence increasingly reshapes how people learn, research, create, and work, the central challenge of educational reform is no longer merely how to optimize separate phases of schooling. It is how to reconnect formal education with the much longer arc of post-school learning, capability renewal, and human–AI collaboration. This article argues that K21 should not be treated as synonymous with lifelong learning. Rather, K21 is better understood as a finite educational backbone that extends educational continuity from early schooling through graduate education and research training, while remaining bounded by institutional timeframes, credential structures, and school-based governance. On that basis, the paper makes three contributions. First, it clarifies the conceptual distinction between K21 and lifelong learning by differentiating their time horizon, institutional scope, organizing logic, and developmental function. Second, it proposes an AI-integrated lifelong learning architecture oriented to the long-term development of what this paper calls the AI-native generation, namely learners whose growth unfolds in environments where AI is routinely embedded in study, inquiry, and work. Third, it examines how K21 and post-K21 lifelong learning can be connected through foundational capabilities, longitudinal learning records, AI-supported pathway planning, and governance mechanisms. The aim is not to replace K21, but to reposition it: K21 remains important as the formal educational backbone, yet it cannot by itself bear the full burden of lifelong development in the age of AI.","regular",[22,23,24,25,26,27],"K21","lifelong learning","artificial intelligence in education","AI-native generation","educational continuity","human–AI collaboration",[29,37,44,51],{"id":30,"display_name":31,"first_name":32,"middle_name":-1,"last_name":33,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":34,"updated_at":34,"affiliations":35,"articles":36},35,"Liu Sixiu","Sixiu","Liu","",[],[],{"id":38,"display_name":39,"first_name":40,"middle_name":-1,"last_name":41,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":34,"updated_at":34,"affiliations":42,"articles":43},36,"Xu Yiteng","Yiteng","Xu",[],[],{"id":45,"display_name":46,"first_name":47,"middle_name":-1,"last_name":48,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":34,"updated_at":34,"affiliations":49,"articles":50},37,"Li Mingxuan","Mingxuan","Li",[],[],{"id":52,"display_name":53,"first_name":54,"middle_name":-1,"last_name":55,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":34,"updated_at":34,"affiliations":56,"articles":57},38,"Zhang Hui","Hui","Zhang",[],[],{"id":59,"volume_number":13,"issue_number":13,"title":-1,"cover_image":60,"publish_date":-1,"is_current":61},30,"\u002Fuploads\u002Fissues\u002F30\u002F1f286088a0b24004a9e30ce512a717fe_793322e057af85236e9ebe1e6871a262.png",true,72,2,"2026-05-27T07:43:03.595363Z",[],1780657178664]