CALL FOR PAPERS / 征稿范围

 

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ICAIE 2025 will focus on research related to the application of Artificial Intelligence in education and the effective experiences in achieving such applications. Please submit your paper/abstract to this conference’s submission system or email before the deadline. The conference is also inviting oral and poster presentations and will award the best oral and poster presentation prizes.

ICAIE 2025 将聚焦于与人工智能在教育领域的应用及其有效实现经验相关的研究。请在截止日期前将您的论文/摘要提交至会议指定的投稿系统或邮箱。同时，会议公开征集口头和海报形式的报告，并将评选出最佳口头和海报报告奖。

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Track 1: AI-Enabled Personalized Education: Innovations and Challenges

主题1：AI赋能个性化教育的最新创新与挑战

Track Chairs: Anoop Saxena, Xi'an Jiaotong-Liverpool University, China
Run Wen, Xi'an Jiaotong-Liverpool University, China

 

Track Introduction: This track focuses on exploring the latest innovations and addressing the challenges in AI-enabled personalized education. It aims to discuss how AI technologies can revolutionize traditional educational practices by tailoring learning experiences to individual students' needs, abilities, and preferences. The track will delve into the potential benefits and ethical considerations of AI in personalizing education, as well as the practical implementations and case studies.   Related Topics: AI algorithms for personalized learning path creation Ethical considerations in AI-driven education personalization Case studies of successful AI-enabled personalized education programs Teacher roles and professional development in AI-enhanced classrooms Data privacy and security in personalized education systems

Track 介绍: 本议题聚焦于探讨AI赋能个性化教育的最新创新与挑战。旨在讨论AI技术如何通过定制符合学生个人需求、能力和偏好的学习体验，来革新传统教育实践。本议题将深入探讨AI在个性化教育中的潜在益处和伦理考量，以及实际应用和案例研究。       相关主题: 用于创建个性化学习路径的AI算法 AI驱动的教育个性化中的伦理考量 AI赋能个性化教育项目的成功案例研究 AI增强课堂中的教师角色与专业发展 个性化教育系统中的数据隐私与安全

Track 2: Gamification and Interdisciplinary Integration in the AI Education Era

主题2：AI驱动的教育背景下，游戏化学习与跨学科融合的交汇点

Track Chair: Lanze Willem Vanermen, Xi'an Jiaotong-Liverpool University, China

 

Track Introduction: This track explores the intersection of gamification and interdisciplinary integration in the context of AI-driven education. It aims to discuss how game-based learning and cross-disciplinary approaches can enhance student engagement, motivation, and critical thinking skills. The track will cover topics related to designing effective gamified learning experiences, fostering interdisciplinary collaboration, and assessing the impact of these strategies on learning outcomes.   Related Topics: Design principles for effective gamified learning environments Interdisciplinary curriculum development in AI-enhanced education Assessing the impact of gamification on student learning outcomes Collaborative learning and teamwork in interdisciplinary AI projects Future trends and challenges in gamification and interdisciplinary integration

Track介绍: 本议题探讨在AI驱动的教育背景下，游戏化学习与跨学科融合的交汇点。旨在讨论基于游戏的学习和跨学科方法如何提升学生参与度、动机和批判性思维能力。本议题将涵盖设计有效的游戏化学习体验、促进跨学科合作以及评估这些策略对学习成果的影响等相关主题。     相关主题: 有效游戏化学习环境的设计原则 AI增强教育中的跨学科课程开发 评估游戏化对学生学习成果的影响 跨学科AI项目中的协作学习与团队合作 游戏化与跨学科融合的未来趋势与挑战

 

Track 3: AI and Entrepreneurship Education

主题3：AI与创业教育

Track Chair: Victor Perez, Xi'an Jiaotong-Liverpool University, China

 

Track Introduction: This track aligns with ICAIE 2025's mission to embrace AI-driven personalization, gamification, and interdisciplinary integration in education. It aims to explores how AI can enhance entrepreneurship education by tailoring learning experiences, enhancing engagement, and developing essential entrepreneurial skills. This track envisions to attrack entrepreneurship scholars from all over the world, inviting them to reflect on innovative approaches to using AI in entrepreneurship education to create adaptable, skill-focused learning environments for future business leaders.   Related Topics: Leveraging AI to Advance Syntegrative Entrepreneurship Education AI-Driven Gamification for Enhanced Engagement in Entrepreneurial Learning Integrating AI in Curriculum Development, Student Engagement, Assessment, and Mentorship in Entrepreneurship Education Current Challenges and Emerging Trends in AI-Enhanced Entrepreneurship Education Best Practices and Innovative Approaches for Applying AI in Entrepreneurship Education AI for Personalized Learning Pathways in Entrepreneurship Education Using AI to Support Experiential Learning and Real-World Problem Solving in Entrepreneurship Education

Track 介绍: 本议题与 ICAIE 2025 的使命相一致，即在教育中拥抱人工智能驱动的个性化、游戏化和跨学科整合。它旨在探索人工智能如何通过定制学习体验、提高参与度和发展基本创业技能来加强创业教育。 本议题期望吸引来自世界各地的创业学者，邀请他们思考在创业教育中使用人工智能的创新方法，为未来的商业领袖创造适应性强、以技能为中心的学习环境。       相关主题: 利用人工智能推进综合创业教育 人工智能驱动的游戏化增强创业学习的参与度 将人工智能融入创业教育的课程开发、学生参与、评估和指导 人工智能增强创业教育的当前挑战和新兴趋势 人工智能应用于创业教育的最佳实践和创新方法 人工智能在创业教育中的个性化学习路径 利用人工智能支持创业教育中的体验式学习和现实世界问题解决

 

Track 4: New Progress in Educational Technology Research under the Background of Artificial Intelligence

主题4：人工智能背景下教育技术学研究的新进展

Track Chairs: Yuqi Dong, Shanghai Normal University, China
Songling Qian, Jilin Normal University, China

 

Track Introduction: The digital transformation of education is a strategic task for building a digital China. As a supporting discipline for the digital transformation of education, the core issue of educational technology research is technology-driven learning. This topic focuses on the latest progress in many fields of educational technology research (including basic education, higher education, vocational education, special education, adult education, etc.) under the background of the rapid development of artificial intelligence technology.   Related Topics: Development of Digital Learning Resources under the Background of Artificial Intelligence Research on Learning Technology under the Background of Digital Transformation Teacher Learning Directed at Student Development Supported by Intelligent Technology Artificial Intelligence Empowers the Teaching Development of College Teachers Artificial Intelligence Literacy of Teachers and Students Information Technology Education in Primary and Secondary Schools Collaborative Learning Supported by Intelligent Technology Artificial Intelligence and Knowledge Construction Maker Education in the Era of Artificial Intelligence Artificial Intelligence Education in Primary and Secondary Schools STEM Education Supported By Intelligent Technology Artificial Intelligence and Digital Teaching Materials Research on Learning Science Enabled By Intelligent Education Research on Educational Neuroscience Research on Classroom Evaluation Supported by Intelligent Technology Intelligent Technology and Ability Assessment Design of Intelligent Learning Environment Artificial Intelligence and Special Education

Track 介绍: 教育数字化转型是建设数字中国的战略任务。作为教育数字化转型的支持性学科，教育技术学研究的核心问题是技术促进学习。本议题聚焦于探讨人工智能技术发展方兴未艾的背景下，教育技术学研究的诸多领域（包括基础教育、高等教育、职业教育、特殊教育、成人教育等）的最新进展。       相关主题: 人工智能背景下数字学习资源开发 数字化转型背景下学习技术研究 智能技术支持的指向学生发展的教师学习 人工智能赋能高校教师教学发展 教师与学生的人工智能素养 中小学信息科技教育 智能技术支持的协作学习 人工智能与知识建构 人工智能时代的创客教育 中小学人工智能教育 智能技术支持的STEM教育 人工智能与数字教材 智能教育赋能学习科学研究 教育神经科学的研究 智能技术支持的课堂评价研究 智能技术与能力测评 智能学习环境设计 人工智能与特殊教育