一、学部简介
华中师范大学人工智能教育学部于2020年5月30日在全国高校中率先启动并成立，是学校建设“学科特区”，实行综合改革的试点单位。学部目前由4个二级建制教学科研单位和12个国家、省、部级科研、教学平台及其他机构组成，包括国家数字化学习工程技术研究中心、教育大数据应用技术国家工程中心、教育信息技术学院和华中师范大学伍伦贡联合研究院等。学部在信息技术与教育的深度融合方面具有显著优势，学科专业交叉特色鲜明，形成了涵盖本科、硕士、博士的多层次办学体系和人才培养模式。
学部拥有一支高素质的创新型教师队伍，现有教职工300余人，其中包括国家级人才6人次，省部级人才24人次。学部注重国际化发展，实施“国际视野拓展计划”，与英国纽卡斯尔大学、伦敦大学学院、柏林洪堡大学、南洋理工大学、沃隆港大学、俄罗斯教育科学院等世界一流高校及科研机构建立了广泛合作关系。学部积极引入国际优质课程体系和教学资源，邀请知名大学教授开设全英文课程并指导实践项目，培养具有全球视野的复合型人才。
面向未来，学部将继续聚焦“人工智能+教育”的前沿领域，打造人才培养、科研创新以及智库研究新高峰，推动人工智能与教育的融合创新研究和实践，为教育强国建设贡献力量。
二、招生专业
（一）招生目录
教育技术学、计算机技术、人工智能、软件工程
（二）专业介绍
硕士专业：
招生专业1：教育技术学
本专业致力于培养适应国家和地方社会发展需求，具有全球视野和创新能力的教育技术领域专门人才，培养学生德智体美劳全面发展，并具备在教育信息技术及相关领域独立分析和解决问题的能力。
培养目标：
1.理论与实践能力
掌握本学科扎实的理论基础和研究方向系统的专门知识，深入了解教育技术学的最新研究成果与学科发展前沿动态，能够在教育信息技术领域开展创新性研究及实践活动。
2.国际交流能力
熟练掌握英语，能够进行专业文献阅读、撰写学术论文，并参与国际学术交流活动，具有较强的跨文化沟通与协作能力。
3.职业胜任力
能够胜任教育技术及相邻领域的教学、科研和技术研发等工作，为社会培养具备创新意识和实践能力的高水平复合型人才。
主要课程
课程体系涵盖理论、实践与技术相结合的多学科内容，包括但不限于：
1．理论基础课程：教育技术学导论、学习设计与技术、教学设计、教学技术与媒体、教育技术学研究方法、远程教育原理与技术等；
2．技术应用课程：教育信息处理、信息技术与课程整合、数据结构、C语言程序设计、计算机网络、多媒体技术等；
3．前沿与创新课程：人工智能基础、教育机器人、多媒体学习、信息技术课程与教材研究等。
学分要求
硕士研究生课程总学分不少于33学分，其中：
1．公共必修课程：2门课程，共计12学分；
2．专业课程：包含必修和选修课程7门，共计21学分。
本专业通过系统化的课程设置与多元化的学习实践，旨在培养学生在教育技术领域的综合能力与创新素养，为学生在教学、研究和技术开发等方向奠定坚实的基础。
招生专业2：计算机技术
本专业致力于培养具备扎实的计算机科学理论基础、掌握计算机行业核心技术、具有自主研发能力的高级专业人才。毕业生能够胜任应用型和创新型计算机产品的设计、开发与优化工作，在科技研发、工程实践及项目管理等方面具备显著优势。
培养目标
1.理论基础与专业能力
掌握计算机科学与技术领域的核心知识与技能，包括算法设计、软件开发、数据分析和智能计算，熟悉行业最新发展动态，具备解决复杂工程问题的能力。
2.实践能力与创新意识
拥有较强的工程实践能力和自主研发能力，能够在计算机技术领域进行创新型产品设计与开发，并对技术应用与项目管理具有全局视野。
3.职业素养与综合能力
具备团队协作和国际视野，能够在多学科背景下与不同行业专业人士协作，并能胜任计算机及相关领域的高级岗位，如研发工程师、技术管理者、系统架构师等。
主要课程
课程体系紧扣行业需求与技术前沿，覆盖计算机技术的基础理论、工程实践和前沿应用：
1．核心基础课程：机器学习算法与应用、编程与数据结构、数据挖掘与知识发现等；
2．软件与系统开发课程：系统分析与项目管理、大数据分析等；
3．工程管理与前沿课程：感知与规划、研究方法论等。
学分要求
硕士研究生课程总学分不少于33学分，其中：
1．公共必修课程：2门课程，共计12学分；
2．专业课程：包含必修和选修课程7门，共计21学分。
本专业通过系统化的课程设置与项目实践，全面培养学生在计算机技术领域的理论基础、实践能力与创新精神，为其在高新技术产业、科研机构及教育领域的发展奠定坚实基础。
招生专业3：人工智能
本专业致力于培养具备扎实的人工智能理论基础、掌握人工智能领域核心技术和先进方法、具有独立研发与创新能力的高级专业人才。毕业生能够胜任智能系统与产品的创新设计、开发部署与性能优化，在算法研究、技术应用、工程实现与项目管理等方面具备系统性解决复杂问题的能力。
培养目标
1.理论基础与专业能力
系统掌握人工智能学科领域的核心理论体系和专业知识，了解本领域的前沿发展与技术标准，在机器学习、自然语言处理、计算机视觉、智能系统等某一方向具有独立的科研与工程实践能力，能够胜任人工智能相关领域的技术研发、系统设计、项目管理等工作，并具备良好的职业发展潜力。
2.实践能力与创新意识
具备扎实的人工智能领域工程实践能力与自主创新能力，能够开展人工智能相关的系统设计、产品开发与技术实现。在解决人工智能实际问题过程中，能够展现出创新思维与研发能力，并对技术应用、系统集成与项目研发具备整体性视野与管理能力。
3.职业素养与综合能力
具备良好的职业道德与职业素养，具有严谨求实的科学态度、开拓创新的意识与团队协作精神。在人工智能相关领域中，能够运用系统化思维解决工程与科研问题。同时，具备国际化视野与跨文化沟通能力，能够在以英语为主要工作语言的环境下，胜任技术开发、项目管理或协同研究等工作。
主要课程
课程设置紧密围绕人工智能领域的技术前沿与产业需求，构建涵盖理论基础、核心技术和工程实践的综合课程体系，包括以下模块：
1．核心基础课程：机器学习算法与应用、编程与数据结构、数据挖掘与知识发现；
2．智能技术：大数据分析、推理与学习、计算机智能；
3．前沿与交叉课程：感知与规划、研究方法论、人工智能前沿专题等。
学分要求
硕士研究生课程总学分不少于33学分，其中：
1．公共必修课程：2门课程，共计12学分；
2．专业课程：包含必修和选修课程7门，共计21学分。
本专业通过系统化的课程设置与项目实践，全面培养学生在人工智能领域的理论基础、实践能力与创新精神，为其在高新技术产业、科研机构及教育领域的发展奠定坚实基础。
招生专业4：软件工程
本专业致力于培养具备扎实的软件工程理论基础、掌握软件系统开发与管理的核心技术、具有独立研发与工程创新能力的高级专业人才。毕业生能够胜任复杂软件系统的需求分析、架构设计、开发测试与运维管理，在软件生命周期管理、质量保障、工程实践与项目管理等方面具备系统性解决复杂工程问题的能力。
培养目标
1.理论基础与专业能力
系统掌握软件工程学科的核心理论与方法体系，精通软件需求分析、系统设计、开发测试、质量保障与项目管理等专业知识，熟悉软件工程领域的前沿发展、技术标准与行业规范。具备在软件体系结构、软件过程改进、智能化软件工程等某一方向开展独立科研与工程实践的能力，能够胜任复杂软件系统的全生命周期管理、技术研发与工程实施工作，并具备持续学习与职业发展的扎实基础。
2.实践能力与创新意识
具备扎实的软件工程实践能力与系统创新能力，能够开展大规模软件系统的设计、开发、集成与运维。在解决复杂软件工程问题过程中，能够综合运用工程方法与新兴技术，具备对软件产品质量、项目进度与团队协作的整体把控能力，并能够在工程实践中体现创新思维与技术引领意识。
3.职业素养与综合能力
具备良好的工程伦理、职业责任感与团队协作精神，坚持严谨求实的工程态度与持续改进的工作作风。能够运用系统化工程思维分析和解决软件开发与管理中的复杂问题。同时具备国际化学术视野与跨文化沟通协作能力，能够在国际化环境中胜任软件工程技术研发、项目管理或协同创新等工作。
主要课程
课程设置紧密围绕人工智能领域的技术前沿与产业需求，构建涵盖理论基础、核心技术和工程实践的综合课程体系，包括以下模块：
1．核心基础课程：机器学习算法与应用、编程与数据结构、数据挖掘与知识发现；
2．系统开发与实践课程：大数据分析、网页开发、系统分析与项目管理；
3．前沿与交叉课程：感知与规划、研究方法论、战略网络设计等。
学分要求
硕士研究生课程总学分不少于33学分，其中：
1．公共必修课程：2门课程，共计12学分；
2．专业课程：包含必修和选修课程7门，共计21学分。
本专业通过系统化的课程设置与工程实践，全面培养学生在软件工程领域的理论基础、系统开发能力与工程创新能力，为其在信息技术产业、科研机构、教育及管理等领域的职业发展奠定坚实基础。
博士专业：
招生专业1：教育技术学
本专业致力于培养适应国家和地方社会发展需要，面向世界、面向未来的研究型、高层次教育信息化领域专门人才。通过系统的课程学习与创新性研究训练，培养学生在教育技术学科领域的理论深度、实践能力与科研素养，为推动教育信息技术的发展与应用提供高端人才支撑。
培养目标
1.理论素养与专业知识
系统掌握教育信息技术领域坚实而广泛的基础理论，以及本研究方向的深入专门知识，熟悉学科最新理论动态与研究成果，能够把握学科发展前沿，并在教育信息技术领域开展创新性研究工作。
2.科学精神与学术能力
拥有严谨的学术态度和实事求是的科学精神，具备不断追求新知、勇于创新的能力，能够通过高水平科研工作为教育技术领域的发展作出原创性贡献。
3.国际交流与语言能力
能够熟练运用英语进行专业文献阅读、学术论文撰写及国际学术交流，具有全球化的学术视野和跨文化的学术协作能力。
主要课程
博士阶段课程注重理论深度、技术实践与前沿领域研究，主要课程包括：
1．教育技术核心课程：教育智能、教育技术研究方法论、多媒体学习、教育机器人，学习设计与技术；
2．人工智能与技术应用：高级人工智能、机器学习理论与技术；
3．计算机技术基础课程：数据结构、C语言程序设计、计算机网络、多媒体技术。
学分要求
博士研究生应完成不少于27学分的学位课程总学分，其中：
1．公共必修课程：2门课程，共计12学分；
2．专业课程：包含必修和选修课程5门，共计15学分。
本专业通过严谨的课程体系和高水平的学术训练，致力于培养学生成为教育信息技术领域的学术带头人和科研骨干，为推动教育技术与信息技术的深度融合、创新应用及理论研究提供坚实的人才保障。博士毕业生将具备扎实的理论基础、丰富的科研经验和国际化的学术视野，在高校、科研机构和行业企业中发挥关键作用。
三、优势学科推荐
人工智能教育学部学科专业交叉特色明显，信息技术与教育深度融合优势突出。教育技术学作为学部的优势学科，支撑教育学一级学科入选“双一流”建设学科，在第五轮学科评估中获评A+；助力我校教育学科2024-2025、2025-2026年度U.S.News排名世界第四。
四、联系人、方式及地址
联系人：罗婧雯
联系电话：027-67867279
联系方式：luojingwen@ccnu.edu.cn;
地址：湖北省武汉市洪山区雄楚大道382号华中师范大学南湖校区南湖综合大楼人工智能教育学部
2026 Admission for International Students of
Faculty of Artificial Intelligence in Education
1.College Introduction
The Faculty of Artificial Intelligence in Education at Central China Normal University (CCNU) was officially launched and established on May 30, 2020, pioneering such initiatives among universities in China. As a pilot unit under the university’s “disciplinary special zone” initiative and comprehensive reform, the faculty currently comprises four secondary academic and research units, along with 12 national, provincial, and ministerial-level research and teaching platforms and other institutions. These include the National Engineering Research Center for E-Learning, the National Engineering Research Center of Educational Big Data, the School of Educational Information Technology, and the CCNU-Wollongong Joint Institute. The faculty holds significant advantages in the deep integration of information technology and education, with distinct interdisciplinary characteristics. It has established a multi-level educational system and talent cultivation model covering undergraduate, master’s, and doctoral programs.
The faculty boasts a high-quality and innovative teaching team, with over 300 staff members, including 6 instances of national-level talents and 24 instances of provincial and ministerial-level talents. Emphasizing international development, the faculty implements the “Global Vision Expansion Plan” and has established extensive collaborations with world-renowned universities and research institutions such as Newcastle University, University College London, Humboldt University of Berlin, Nanyang Technological University, the University of Wollongong, and the Russian Academy of Education. The faculty actively incorporates high-quality international curricula and teaching resources, invites distinguished professors to offer English-medium courses and guide practical projects, and cultivates interdisciplinary professionals with a global perspective.
Looking ahead, the faculty will continue to focus on the cutting-edge field of “AI+Education,” aiming to reach new heights in talent cultivation, scientific research innovation, and think tank research. It will promote integrated innovation and practice in artificial intelligence and education, contributing to the building of a strong educational nation.
2.Admission Programs
(1)Catalogue [For example: Business Administration, International Business, Computer Science, etc.]
Educational Technology, Computer Technology, Artificial Intelligence, Software Engineering
(2)Program Introduction
Master Program:
Admission Program 1：Educational Technology
This program is dedicated to cultivating specialized professionals in the field of educational technology who are adaptable to the social development needs of both national and local communities. These individuals will possess a global perspective and innovative capabilities, along with the ability to independently analyze and solve problems in educational information technology and related fields. The program aims to promote the comprehensive development of students, including moral, intellectual, physical, aesthetic, and labor education.
1.Theoretical and Practical Competence
Master a solid theoretical foundation in the discipline and systematic specialized knowledge in the chosen research direction. Develop a deep understanding of the latest research findings and cutting-edge developments in educational technology. Be capable of conducting innovative research and practical activities in the field of educational information technology.
2.International Communication Skills
Achieve proficiency in English, enabling the reading of professional literature, academic paper writing, and participation in international academic exchanges. Cultivate strong cross-cultural communication and collaboration skills.
3.Professional Competence
Be qualified to undertake teaching, research, and technological research and development tasks in the field of educational technology and adjacent areas. Develop high-level, interdisciplinary professionals with strong innovation awareness and practical abilities, ready to contribute to societal progress.
【The Main Courses】The curriculum is designed to provide a comprehensive foundation in educational technology, blending theory and practice to meet industry demands and technological advancements:
• Theoretical Foundation Courses: Introduction to Educational Technology, Learning Design and Technology, Instructional Design, Instructional Technology and Media, Research Methods in Educational Technology, Principles and Technology of Distance Education, etc.;
• Technology Application Courses: Educational Information Processing, Information Technology and Curriculum Integration, Data Structures, C Programming Language, Computer Networks, Multimedia Technology, etc;
• Cutting-edge and Innovation Courses: Fundamentals of Artificial Intelligence, Educational Robotics, Multimedia Learning, Research on Information Technology Curriculum and Teaching Materials, etc.
The total number of credits required for the master’s degree program is no less than 33 credits, consisting of the following components:
• General courses: 2 required courses, totaling 12 credits.
• Professional courses: 7 courses (including both required and elective courses), totaling 21 credits.
This program employs a systematic curriculum and diverse practical learning approaches to cultivate students' comprehensive competencies and innovative capacities in the field of educational technology. It aims to establish a solid foundation for their future development in teaching, research, and technology development.
Admission Program 2：Computer Technology
This program is dedicated to cultivating advanced professionals who possess a solid theoretical foundation in computer science, master the core technologies of the computer industry, and have the capability for independent research and development. Graduates will be capable of designing, developing, and optimizing applied and innovative computer products, and will have a significant advantage in areas such as scientific research and development, engineering practice, and project management.
1.Theoretical Foundation and Professional Skills
Master the core knowledge and skills in the field of computer science and technology, including algorithm design, software development, data analysis, and intelligent computing. Stay informed about the latest developments in the industry and possess the ability to solve complex engineering problems.
2.Practical Ability and Innovation Awareness
Develop strong engineering practice skills and independent research and development capabilities. Be able to design and develop innovative products in the field of computer technology, with a comprehensive understanding of technological applications and project management.
3.Professional Qualities and Comprehensive Abilities
Possess teamwork skills and a global perspective, enabling collaboration with professionals from various disciplines and industries. Be qualified for advanced positions in the computer and related fields, such as research and development engineers, technical managers, and system architects.
【The Main Courses】The curriculum is closely aligned with industry needs and cutting-edge technologies, covering the fundamental theories, engineering practices, and advanced applications in computer technology:
• Core Foundation Courses: Machine Learning Algorithms and Applications, Programming and Data Structures, Data Mining and Knowledge Discovery, etc.;
• Software and System Development Courses: System Analysis and Project Management, Big Data Analysis, etc.;
• Engineering Management and Cutting-edge Courses: Perception and Planning, Research Methodology, etc.
The total number of credits required for the master’s degree program is no less than 33 credits, consisting of the following components:
• General courses: 2 required courses, totaling 12 credits.
• Professional courses: 7 courses (including both required and elective courses), totaling 21 credits.
This credit structure ensures a well-rounded education, with a balance between foundational knowledge and specialized expertise in the field.
This program, through systematic curriculum design and project-based learning, comprehensively develops students’ theoretical foundation, practical skills, and innovative spirit in the field of computer technology. It thereby establishes a solid foundation for their future careers in high-tech industries, research institutions, and the education sector.
Admission Program 3: Artificial Intelligence
This program is dedicated to cultivating advanced professionals with a solid theoretical foundation in artificial intelligence, mastery of the core technologies and advanced methodologies in the field, and independent research, development, and innovation capabilities. Graduates will be competent in the innovative design, development, deployment, and performance optimization of intelligent systems and products, possessing the ability to systematically address complex problems in areas such as algorithm research, technology application, engineering implementation, and project management.
1.Theoretical Foundation and Professional Competence
Systematically master the core theoretical framework and professional knowledge of artificial intelligence, stay informed about cutting-edge developments and technical standards in the field. Develop independent research and engineering practice capabilities in a specific area such as machine learning, natural language processing, computer vision, or intelligent systems. Be qualified for technical R&D, system design, and project management in AI-related fields, with promising professional development potential.
2.Practical Ability and Innovation Awareness
Possess solid engineering practice abilities and independent innovation capabilities in the field of artificial intelligence. Be capable of conducting system design, product development, and technological implementation related to AI. When solving practical AI problems, demonstrate innovative thinking and R&D capabilities, and possess a holistic perspective and management skills for technology application, system integration, and project development.
3.Professional Qualities and Comprehensive Abilities
Possess good professional ethics and qualities, a rigorous and pragmatic scientific attitude, a spirit of exploration and innovation, and teamwork skills. In AI-related fields, be able to apply systematic thinking to solve engineering and research problems. Additionally, possess an international perspective and cross-cultural communication skills, enabling effective performance in technical development, project management, or collaborative research in an English-primary work environment.
【The Main Courses】The curriculum is closely aligned with the technological frontiers and industrial demands of the artificial intelligence field, constructing a comprehensive system covering theoretical foundations, core technologies, and engineering practice, including the following modules:
• Core Foundation Courses: Machine Learning Algorithms and Applications, Programming and Data Structures, Data Mining and Knowledge Discovery, etc;
• Intelligent Technology: Big Data Analysis, Reasoning and Learning, Computational Intelligence, etc;
• Cutting-edge and Interdisciplinary Courses: Perception and Planning, Research Methodology, Frontiers of Artificial Intelligence, etc.
The total number of credits required for the master’s degree program is no less than 33 credits, consisting of the following components:
• General courses: 2 required courses, totaling 12 credits.
• Professional courses: 7 courses (including both required and elective courses), totaling 21 credits.
This program aims to provide a solid foundation for students' development in high-tech industries, research institutions, and the educational sector by comprehensively developing their theoretical foundation, practical abilities, and innovative spirit in the field of artificial intelligence through a systematic curriculum and project-based practice.
Admission Program 4: Software Engineering
This program is dedicated to cultivating advanced professionals with a solid theoretical foundation in software engineering, mastery of the core technologies for software system development and management, and capabilities in independent R&D and engineering innovation. Graduates will be competent in requirements analysis, architecture design, development, testing, and operation management of complex software systems, possessing the ability to systematically address complex engineering problems in areas such as software lifecycle management, quality assurance, engineering practice, and project management.
1.Theoretical Foundation and Professional Competence
Systematically master the core theories and methodologies of software engineering, with expertise in software requirements analysis, system design, development and testing, quality assurance, and project management. Familiarizewith the cutting-edge developments, technical standards, and industry norms in the field of software engineering. Possess the ability to conduct independent research and engineering practice in a specific area such as software architecture,software process improvement, or intelligent software engineering. Be qualified for the full lifecycle management, technical R&D, and engineering implementation of complex software systems, and establish a solid foundation for continuous learning and professional development.
2.Practical Ability and Innovation Awareness
Possess solid software engineering practice skills and systemic innovation capabilities, enabling the design, development, integration, and operation of large-scale software systems. In solving complex software engineering problems, be able to comprehensively apply engineering methods and emerging technologies, and have overall control capabilities for software product quality, project schedules, and team collaboration. Demonstrate innovative thinking and technological leadership awareness in engineering practice.
3.Professional Qualities and Comprehensive Abilities
Possess good engineering ethics, professional responsibility, and teamwork spirit, adhering to rigorous and pragmatic engineering attitudes and a continuous improvement work style. Be able to apply systematic engineering thinking to analyze and solve complex problems in software development and management. Additionally, possess an international academic perspective and cross-cultural communication and collaboration skills, enabling effective performance in software engineering technical R&D, project management, or collaborative innovation in an internationalized environment.
【The Main Courses】The curriculum is closely aligned with the technological frontiers and industrial demands of the software engineering field, constructing a comprehensive system covering theoretical foundations, core technologies, and engineering practice, including the following modules:
• Core Foundation Courses: Machine Learning Algorithms and Applications, Programming and Data Structures, Data Mining and Knowledge Discovery, etc;
• System Development and Practice Courses: Big Data Analysis, Web Development, System Analysis and Project Management, etc;
• Cutting-edge and Interdisciplinary Courses: Perception and Planning, Research Methodology, Strategic Network Design, etc.
The total number of credits required for the master’s degree program is no less than 33 credits, consisting of the following components:
• General courses: 2 required courses, totaling 12 credits.
• Professional courses: 7 courses (including both required and elective courses), totaling 21 credits.
This program employs a systematic curriculum and engineering practices to comprehensively cultivate students' theoretical foundations, systems development capabilities, and engineering innovation capacities in the field of software engineering. It aims to establish a solid foundation for their professional development in the information technology industry, research institutions, education, management, and related sectors.
PhD Program:
Doctorate Program：Educational Technology
This program is dedicated to cultivating research-oriented, high-level specialized talents in the field of educational informatization who are adaptable to the social development needs of both national and local communities, and oriented towards global and future trends. Through systematic coursework and innovative research training, the program aims to develop students’ theoretical depth, practical ability, and research competence in the field of educational technology, providing high-end talent to support the development and application of educational information technology.
1.Theoretical Foundation and Professional Knowledge
Systematically master solid and extensive foundational theories in the field of educational information technology, as well as in-depth specialized knowledge in the chosen research direction. Stay updated on the latest theoretical trends and research achievements in the field, with the ability to grasp cutting-edge developments and conduct innovative research in educational information technology.
2.Scientific Spirit and Academic Competence
Possess a rigorous academic attitude and a practical, fact-based scientific spirit. Develop the ability to continuously pursue new knowledge and innovate. Be capable of making original contributions to the development of the educational technology field through high-level research.
3.International Communication and Language Proficiency
Be proficient in using English for professional literature reading, academic paper writing, and international academic exchanges. Possess a global academic perspective and cross-cultural academic collaboration skills.
【The Main Courses】The doctoral curriculum emphasizes theoretical depth, technical practice, and research in cutting-edge fields. The main courses include:
• Core Courses in Educational Technology: Educational Intelligence, Research Methodology in Educational Technology, Multimedia Learning, Educational Robotics, and Learning Design and Technology, etc.
• Artificial Intelligence and Technology Applications: Advanced Artificial Intelligence, Theories and Techniques of Machine Learning, etc.
• Computer Technology Foundation Courses: Data Structures, C Language Programming, Computer Networks, and Multimedia Technology, etc.
The total number of credits required for the Ph.D.’s degree program is no less than 27 credits, consisting of the following components:
• General courses: 2 required courses, totaling 12 credits.
• Professional courses: 5 courses (including both required and elective courses), totaling 15 credits.
Through a rigorous curriculum and high-level academic training, this program is committed to cultivating students to become academic leaders and research backbones in the field of educational information technology. It aims to provide solid talent support for promoting the deep integration, innovative application, and theoretical research of educational technology and information technology. Graduates will possess a solid theoretical foundation, rich research experience, and an international academic perspective, enabling them to play key roles in universities, research institutions, and industry enterprises.
3.Advantageous Disciplines
The Faculty of Artificial Intelligence in Education (FOAIE) is distinguished by its strong interdisciplinary characteristics, offering a significant advantage in the deep integration of information technology and education. As the flagship discipline of FOAIE, Educational Technology plays a pivotal role in supporting Education as a primary discipline in achieving the "Double First-Class" initiative. This discipline was rated A+ in the fifth round of national discipline evaluations, reflecting its exceptional academic standing. Additionally, it has contributed to the university's education discipline being ranked fourth globally in the U.S. News rankings for the 2024-2025 and 2025-2026 academic years.
4. Contact Person, Contact Information, and Address
Contact Person: Ms. Jingwen LUO
Contact Information:
luojingwen@ccnu.edu.cn;
0086-27-67867279
Address:
Faculty of Artificial Intelligence in Education
Nanhu Campus, Central China Normal University, No. 382 Xiongchu Avenue, Hongshan District, Wuhan City, Hubei Province
