[{"data":1,"prerenderedAt":64},["ShallowReactive",2],{"article-detail-journal":3,"article-detail:94":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":57,"page_start":-1,"page_end":-1,"view_count":17,"download_count":61,"published_date":-1,"created_at":62,"funds":63},94,"An Empirical Study on the Guiding Capacity of Parallel Kindergartens Based on ACP Theory","In the context of the comprehensive implementation of the digital education strategy and the deep empowerment of people’s livelihood by artificial intelligence technology, smart education has become a core tool and inevitable path to promote the high-quality development of preschool education. Traditional kindergarten management models have long relied on manual experience, offline circulation, and fragmented management, and generally suffer from a series of practical governance dilemmas such as the separation of physical space and management data, experience-based decision-making, lagging emergency response processes, and passive handling of potential safety and emotional risks. In order to systematically solve the management shortcomings of preschool education scenarios from the perspective of complex system governance, this paper uses ACP parallel intelligence theory as the core supporting framework, combined with the governance logic of social physical information systems (CPSS), to construct a new management paradigm for parallel kindergartens adapted to preschool education scenarios. The research systematically designs a four-layer architecture with descriptive intelligence, predictive intelligence, and guiding intelligence as the core and multi-level structure synergistic support, focusing the research on the model construction and quantitative empirical testing of kindergarten guiding capacity under the parallel system.\n\nThis paper relies on the AgentScope distributed multi-agent development framework and large language model technology, taking the full set of communication data from WeChat groups for home-kindergarten collaboration in real kindergartens in the autumn semester of 2024 as the research sample. Following ethical guidelines, data anonymization and cleaning were completed to construct a high-fidelity artificial social system for kindergartens. Three control schemes were set up: a baseline control experiment, a parallel management intervention experiment, and a quasi-parallel execution experiment with multi-dimensional expert evaluation, to complete multi-scenario, multi-dimensional quantitative comparative analysis. The study fully verifies the adaptability and application value of ACP theory in typical complex open systems such as kindergartens, proving that the parallel governance model can effectively promote the preschool education management system from traditional single-point information tool empowerment to a systematic intelligent governance upgrade driven by data, supported by models, and linked by virtual and real systems. The research results can not only enrich the application system of parallel intelligence theory in the sub-fields of education, but also provide solid theoretical basis, technical implementation path and empirical data support for the top-level design, scenario implementation and standard construction of smart kindergartens.","regular",[22,23,24,25,26,27],"ACP theory","parallel kindergarten","parallel intelligence","intelligent guidance","multi-agent","computational experiment",[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},40,"Ma Jimei","Jimei","Ma","",[],[],{"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},41,"Lin Peixin","Peixin","Lin",[],[],{"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},42,"Li Tingting","Tingting","Li",[],[],{"id":52,"display_name":53,"first_name":54,"middle_name":-1,"last_name":48,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":34,"updated_at":34,"affiliations":55,"articles":56},43,"Li Yan","Yan",[],[],{"id":58,"volume_number":13,"issue_number":13,"title":-1,"cover_image":59,"publish_date":-1,"is_current":60},30,"\u002Fuploads\u002Fissues\u002F30\u002F1f286088a0b24004a9e30ce512a717fe_793322e057af85236e9ebe1e6871a262.png",true,3,"2026-05-27T07:49:56.775786Z",[],1780657178664]