CALL FOR PAPERS
征稿启动

May 14-16, 2025
ICAIE 2025 starts to call for papers!

CFP fLyer download
下载转发征稿启事

Please download the CFP flyer and circulate it!

paper Submission
即刻投稿

Full paper & abstract are all welcomed!

 

We sincerely invite you to participate in ICAIE 2025 in Suzhou!

我们诚挚地邀请您来苏州参加2025年人工智能教育国际会议

 

ICAIE 2025, 2025 International Conference on Artificial Intelligence and Education, will be held in Suzhou, China during May 14-16, 2025. The theme of this year is "Embracing a New Era of Education Enabled by AI: Personalization, Gamification, and Interdisciplinary Integration". ICAIE will keep working on itself as an event whose aim is to provide this chance and platform for researchers from academia, industry, and government institutions to exchange and present novel research on Artificial Intelligence and Education. ICAIE now openly calls for submissions. We warmly welcome researchers and students to actively contribute their papers and join this grand academic conference!

2025年人工智能教育国际会议(ICAIE 2025)定于2025年5月14-16日在中国苏州隆重举行,会议聚焦AI赋能个性化、游戏化与跨学科融合教育新纪元展开讨论。 希望通过此次大会,为人工智能教育的专家学者、行业先锋、企业发展人提供一个分享研究成果、讨论存在问题与挑战、探索前沿科技的国际交流平台。为保证本次会议的学术质量,吸引更多的原创高水平学术论文,现公开征稿,欢迎广大科研人员和学生踊跃投稿参与交流!

Important Dates

截稿时间

Full Paper Submission Deadline: January 20, 2025
Paper Decision Notification: February 15, 2025

Abstract Submission Deadline: January 20, 2025
Abstract Decision Notification: 10 working days

Camera-Ready / Registration Deadline: March 05, 2025
Conference Dates: May 14-16, 2025

 

 

Conference Proceedings

论文集出版

Submitted papers will be strictly reviewed by the technical program committee. Accepted papers after successful registration and presentation will be included in ICAIE 2025 Conference Proceedings, which will be archived in IEEE Xplore, and indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in the ICAIE to display their research results.

所有文章将由程序委员会严格审核,所有录用文章在完成注册后将收录至 ICAIE 2025 会议论文集在 IEEE Xplore上线出版,并提交Ei Compendex Scopus检索,文章作者将被邀请参会展示研究报告。

Journal

期刊出版

Selected excellent papers will be recommended to below Education Technology Top Journals (SSCI, Q1)

会议将遴选优秀会议论文扩充后推荐至以下教育技术顶刊 (SSCI, Q1区)

 

1. Wiley's British Journal of Education Technology (Online ISSN: 1467-8535, Print ISSN: 0007-1013)

An official journal of the British Educational Research Association, the British Journal of Educational Technology (BJET) is a primary source for academics and professionals in the fields of digital educational and training technology throughout the world.

The journal publishes theoretical perspectives, methodological developments, and high-quality empirical research demonstrating whether and how applications of instructional/educational technology systems, networks, tools, and resources lead to improvements in formal and non-formal education at all levels.

Indexed by: SCOPUS (Elsevier), INSPEC (IET), British Education Index (EBSCO Publishing), Education Collection (ProQuest), etc.,

Citation Impact:
2023 CiteScore (Scopus): 15.6
2023 Journal Citation Indicator (Clarivate): 3.36
2023 Journal Impact Factor (Clarivate): 6.7

 

2. Australasian Journal of Educational Technology (AJET)

The Australasian Journal of Educational Technology (AJET) aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. The journal is published by ASCILITE, the Australasian Society for Computers in Learning in Tertiary Education.

It aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy.

AJET welcomes previously unpublished manuscripts that advance understanding of educational technology in post-school education settings, including higher and further education, lifelong learning, and training.

Indexed by: SCOPUS, Thomson Reuters Web of Science, EDITLib, the ACER Blended Online Learning and Distance Education research bank and EBSCOhost Electronic Journals Service.

Currently AJET has the following impact metrics (as at November 2023):
JCR Impact Factor = 4.1 (Q1)
SJR Impact Factor = 1.104 (Q1)
Google Scholar = 13/20 Educational Technology Journals
Scopus CiteScore = 6.9

 

 

 

 

Call for Papers (Topics)

征稿启动

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

Special Session: Innovative Technologies and Emerging Trends in Transnational Education

专栏主题:跨国教育中的创新技术与新兴趋势

Session Chairs: Raymond Chiong Choo Wee, Curtin University, Malaysia
Saaveethya Sivakumar, Curtin University, Malaysia

 

Session Introduction:
This session explores how new technologies are transforming the way students learn and enabling them to gain a broader global perspective. Experts will discuss how these innovations and trends are shaping the future of transnational education, preparing students for a connected global future.

本议题探讨新技术如何改变学生的学习方式,并帮助他们获得更广泛的全球视野。专家们将讨论这些创新和趋势如何塑造跨国教育的未来,为学生准备一个相互联通的全球化未来。

 

AI and Education Practice Presentation Session

人工智能与教育实践分享会

Session Chair: Charlie Reis, Xi'an Jiaotong-Liverpool University, China

 

Session Introduction:
This session will feature papers on AI and Education as Featured in Developing Academic Practice's (DAP) Special Issue on AI and Education. DAP is a gold open access Academy journal supported by Liverpool University Press aiming to celebrate scholarship in all aspects of academic practice in Higher Education. The papers will focus on different aspects of the incorporation of AI into learning and teaching.

本次分享会将收录关于人工智能和教育的论文,这些论文将在发展学术实践 (DAP) 的人工智能和教育特刊中进行专题报道。 DAP 是由利物浦大学出版社支持的黄金级开放获取学院期刊,旨在表彰高等教育学术实践各个方面的奖学金。这些论文将重点关注人工智能融入学习和教学的不同方面。

 

 

Submission System:

提交系统

https://www.zmeeting.org/submission/icaie2025


 

Co-organized by Curtin University Malaysia

 

More Details:

更多详情

 

Under the theme of "Embracing a New Era of Education Enabled by AI: Personalization, Gamification, and Interdisciplinary Integration," we are entering a new era of exploration in the field of education. With the rapid development of artificial intelligence technology, it is gradually permeating every corner of education, providing new possibilities for personalized education, gamified learning, and interdisciplinary integration.

From the perspective of science and engineering, AI technology brings unprecedented data analysis and processing capabilities to the field of education. Through machine learning and deep learning algorithms, we can more accurately understand each student's learning habits, abilities, and needs, thereby achieving truely personalized education. At the same time, AI can also facilitate gamified learning by designing more challenging and engaging educational content through intelligent algorithms, stimulating students' interest in learning. Furthermore, in terms of interdisciplinary integration, AI technology also demonstrates its unique advantages. It can help us discover the intrinsic connections between different disciplines, break down traditional disciplinary barriers, and promote comprehensive knowledge integration.

From the perspective of humanities and social sciences, this new era also brings new research topics and methods. Researchers in humanities and social sciences can delve into how AI technology impacts educational equity, quality, and philosophy. For example, through empirical research, they can analyze the practical effects of AI in personalized education and how it changes the interaction between teachers and students. At the same time, they can also examine the application of AI technology in education from a philosophical perspective, exploring its impact on human development, moral ethics, and other aspects.

"Embracing a New Era of Education Enabled by AI: Personalization, Gamification, and Interdisciplinary Integration" is not only a technological innovation but also a comprehensive upgrade of educational concepts and methods. It provides us with a new perspective to re-examine and understand the nature and purpose of education. In this new era, we look forward to the collaboration between the sciences and humanities, jointly exploring the infinite possibilities of interdisciplinary integration between AI and education.

在“AI赋能个性化、游戏化与跨学科融合教育新纪元”的主题下,我们迎来了教育领域的一个新的探索时代。随着人工智能技术的飞速发展,它正逐步渗透到教育的每一个角落,为个性化教育、游戏化学习以及跨学科融合提供了新的可能。
从理工科视角出发,AI技术为教育领域带来了前所未有的数据分析与处理能力。通过机器学习和深度学习算法,我们能够更精确地了解每个学生的学习习惯、能力和需求,从而实现真正的个性化教育。同时,AI还能助力游戏化学习,通过智能算法设计更具挑战性和吸引力的教育内容,激发学生的学习兴趣。此外,在跨学科融合方面,AI技术也展现出其独特的优势,它能够帮助我们找到不同学科之间的内在联系,打破传统学科壁垒,推动知识的全面融合。
而从人文社科的角度来看,这一新纪元也带来了新的研究议题和方法。人文社科研究者可以深入探讨AI技术如何影响教育公平、教育质量以及教育理念。例如,通过实证研究,分析AI在个性化教育中的实际应用效果,以及它如何改变教师与学生之间的互动关系。同时,也可以从哲学的角度审视AI技术在教育中的应用,探讨其对于人的全面发展、道德伦理等方面的影响。
“AI赋能个性化、游戏化与跨学科融合教育新纪元”不仅是一个技术的革新,更是教育理念与方法的全面升级。它为我们提供了一个全新的视角,去重新审视和理解教育的本质与目的。在这个新纪元中,我们期待文理科携手并进,共同探索AI与教育跨学科融合的无限可能。