[{"data":1,"prerenderedAt":103},["ShallowReactive",2],{"article-detail-journal":3,"article-detail:95":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":96,"page_start":-1,"page_end":-1,"view_count":99,"download_count":100,"published_date":-1,"created_at":101,"funds":102},95,"Teaching Reinforcement Learning in Large-Scale Interdisciplinary Classrooms: A Course Design and Practice","Reinforcement learning (RL) has become a foundational paradigm in modern artificial intelligence, yet its technical complexity poses significant challenges for large-scale interdisciplinary education. Students from diverse academic backgrounds often face difficulties in understanding abstract concepts, maintaining engagement, and applying RL methods in their own domains. This paper presents the design and implementation of a reinforcement learning course tailored for large-scale interdisciplinary classrooms. The course integrates structured content progression, real-world analogies, and interactive learning activities to bridge disciplinary gaps and improve learning accessibility. Key design elements include cognitive scaffolding through everyday scenarios, level-based task progression from fundamental concepts to advanced algorithms, and an interactive feedback system based on QR-code quizzes that promotes continuous participation. The course was implemented in a large cohort of students from multiple disciplines, and preliminary results indicate improved engagement, participation consistency, and conceptual understanding. The findings suggest that carefully designed instructional strategies can effectively support reinforcement learning education in large, diverse classroom settings. This work provides practical insights and a scalable approach for teaching complex AI topics in interdisciplinary contexts.","regular",[22,23,24,25],"Reinforcement Learning","Large-Scale Class","Interdisciplinary","New Artificial Intelligence",[27,35,42,49,56,62,68,75,82,89],{"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},44,"Fan Lili","Lili","Fan","",[],[],{"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},45,"Chen Kaige","Kaige","Chen",[],[],{"id":43,"display_name":44,"first_name":45,"middle_name":-1,"last_name":46,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":47,"articles":48},39,"Ge Jingwei","Jingwei","Ge",[],[],{"id":50,"display_name":51,"first_name":52,"middle_name":-1,"last_name":53,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":54,"articles":55},46,"Li Xuan","Xuan","Li",[],[],{"id":57,"display_name":58,"first_name":59,"middle_name":-1,"last_name":53,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":60,"articles":61},30,"Li Yuchen","Yuchen",[],[],{"id":63,"display_name":64,"first_name":65,"middle_name":-1,"last_name":53,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":66,"articles":67},47,"Li Lingxi","Lingxi",[],[],{"id":69,"display_name":70,"first_name":71,"middle_name":-1,"last_name":72,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":73,"articles":74},48,"Na Xiaoxiang","Xiaoxiang","Na",[],[],{"id":76,"display_name":77,"first_name":78,"middle_name":-1,"last_name":79,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":80,"articles":81},49,"Yu Hui","Hui","Yu",[],[],{"id":83,"display_name":84,"first_name":85,"middle_name":-1,"last_name":86,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":87,"articles":88},31,"Kovacs Levente","Levente","Kovacs",[],[],{"id":90,"display_name":91,"first_name":92,"middle_name":-1,"last_name":93,"orcid":-1,"avatar":-1,"email":-1,"affiliation":-1,"bio":-1,"created_at":32,"updated_at":32,"affiliations":94,"articles":95},50,"Wang Feiyue","Feiyue","Wang",[],[],{"id":57,"volume_number":13,"issue_number":13,"title":-1,"cover_image":97,"publish_date":-1,"is_current":98},"\u002Fuploads\u002Fissues\u002F30\u002F1f286088a0b24004a9e30ce512a717fe_793322e057af85236e9ebe1e6871a262.png",true,59,10,"2026-06-04T04:05:57.658174Z",[],1780657178664]