CALL FOR PAPERS / 征稿范围

 

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ICAIE 2026 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 2026 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 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 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 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 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

 

Track 5: AI and Global Harwell

主题5：人工智能与全球和谐

 

Track Introduction: Artificial Intelligence (AI) is rapidly evolving beyond its traditional applications, shaping not only technological advancements but also human relationships, education, and overall well-being. This track explores the intersection of AI and "Global Harwell"—a concept that combines harmony and well-being on a global scale. The focus is on AI companions that foster positive human-AI relationships, enhance education, and address global challenges, including humanitarian crises, economic disparities, and mental health concerns.   Related Topics: AI companions for education and lifelong learning AI for mental health and emotional well-being AI-assisted collaboration for global humanitarian efforts Ethical considerations in AI companionship and human-AI relationships The role of AI in fostering cross-cultural understanding and cooperation AI-driven strategies for enhancing social equity and inclusion AI and its implications for personal and societal resilience This track aims to bring together researchers, practitioners, and policymakers to discuss AI’s potential in creating a more connected, harmonious, and well-being-focused world.

Track 介绍: 人工智能（AI）正迅速超越其传统应用领域，不仅推动技术进步，还深刻影响着人类关系、教育以及整体福祉。本主题探讨人工智能与“全球和谐”（Global Harwell）的交汇点——这一概念融合了全球范围内的和谐与福祉。重点关注能够促进积极人机关系、提升教育质量并应对全球挑战（包括人道主义危机、经济差距和心理健康问题）的人工智能伴侣。     相关主题: AI辅助的全球人道主义合作 AI伴侣及人机关系中的伦理考量 AI在促进跨文化理解与合作中的作用 以AI推动社会公平与包容性的策略 AI对个人及社会韧性的影响 本主题旨在汇聚研究人员、实践者和政策制定者，共同探讨人工智能在构建更紧密、更和谐、更关注福祉的世界中的潜力。

 

Track 6: Syntegrative Education in the Age of Artificial Intelligence

主题6：适应人工智能时代的融合式教育

 

Track Introduction: This track focuses on the transformation and innovation of Syntegrative Education in the era of artificial intelligence. Syntegrative Education emphasizes the integration of diverse learning modes, educational resources, and instructional environments—including physical–virtual integration, interdisciplinary learning, and the combination of theory and practice. In the AI era, blended and integrated learning ecosystems gain new momentum through intelligent technologies. This track aims to explore how AI can support integrated pedagogical models, enhance learning efficiency, enable personalized and adaptive pathways, and strengthen collaborative learning systems. Submissions focusing on policy frameworks, institutional innovation, teacher development, and large-scale implementation of AI-supported Syntegrative Education are also encouraged.   Related Topics: AI-driven adaptive learning systems for Syntegrative Education Intelligent learning analytics supporting integrated and blended learning models Curriculum and pedagogy redesign for AI-enhanced Syntegrative Education Intelligent tutoring systems in integrated physical–digital learning environments Institutional strategies and policies for AI-enabled Syntegrative Education Teacher roles and competencies in AI-supported integrated learning environments Ensuring equity, accessibility, and inclusiveness in integrated learning supported by AI Case studies and best practices of AI-enabled Syntegrative Education

Track 介绍: 本议题聚焦于人工智能时代融合式教育（Syntegrative Education） 的创新与发展。融合式教育强调多种学习方式、教育资源与教学环境的深度整合，包括线上线下结合、理论与实践融合、跨学科交叉等。在人工智能的推动下，融合式教育的学习生态获得了新的动力与可能性。 本议题旨在探讨人工智能如何支持融合式教学模式、提升学习效率、实现个性化与自适应学习路径，以及构建协作型学习体系。同时，也欢迎关于政策制度、机构创新以及教师专业发展等方面的研究，以推动AI赋能的融合式教育在更大范围内实践落地。       相关主题: 面向融合式教育的AI自适应学习系统 支持融合与混合学习模式的智能学习分析 AI增强的融合式教育课程与教学设计重构 融合线上线下学习环境的智能辅导系统 推动AI支持的融合式教育的机构政策与战略研究 AI赋能融合式教学环境中的教师角色与能力建设 融合式教育中的公平性、可及性与包容性保障 AI支持融合式教育的案例研究与最佳实践

 

Track 7: Artificial Intelligence in Engineering Education

主题7：工程教育的人工智能应用

 

Track Introduction: This track explores the transformative role of artificial intelligence in engineering education. As engineering disciplines rapidly evolve with emerging technologies, integrating AI into engineering curriculum, instruction, assessment, and skill development has become essential. This track focuses on innovative AI applications that enhance engineering problem-solving, design thinking, simulation-based learning, and professional competency development. It also invites research on AI-driven labs, automated assessment, virtual experimentation, and the cultivation of future engineers equipped with AI literacy and interdisciplinary collaboration skills.   Related Topics: AI-enabled virtual laboratories and intelligent simulation platforms AI-supported engineering design, modeling, and problem-solving Intelligent assessment and feedback systems in engineering education AI-driven curriculum innovation for engineering programs Using AI to support interdisciplinary engineering projects Development of AI literacy and computational thinking in engineering students AI-enhanced experiential and project-based learning in engineering Robotics, automation, and AI training in engineering education Case studies of AI applications in engineering teaching and learning

Track 介绍: 本议题旨在探讨人工智能在工程教育中的变革性作用。随着工程学科在新技术推动下快速发展，将AI融入工程课程、教学、评估与能力培养已成为关键。本议题关注能够提升工程问题解决能力、设计思维、基于仿真的学习以及专业能力发展的AI创新应用。同时，也欢迎关于AI驱动实验室、自动化评估、虚拟实验以及工程学生AI素养与跨学科协作能力培养的研究。       相关主题: 工程教育中的AI虚拟实验室与智能仿真平台 AI支持的工程设计、建模与问题解决 工程教育中的智能评估与反馈系统 面向工程专业的AI驱动课程创新 AI支持的工程跨学科项目 工程学生AI素养与计算思维培养 AI增强的工程体验式与项目式学习 工程教育中的机器人、自动化与AI培训 人工智能在工程教学中的应用案例研究