教育，作为国家繁荣的坚固基石，不仅深刻影响着每一个体的成长轨迹，通过培育认知能力、塑造综合素质，为个体的全面发展奠定坚实基础；更在宏观层面上，有力推动着社会与经济的持续进步。面对科技日新月异的飞跃与全球化浪潮的汹涌澎湃，新兴技能与知识的涌现如同潮水般不可阻挡，这对教育学领域的研究与发展提出了更为多元化与深入化的迫切要求。
本期【刊•见】向诸位介绍教育学领域期刊—Cogent Education。除了对期刊进行详尽的介绍外，还向您介绍刊内近三年高被引文章，以及近一年高阅读文章：
革新高等教育：人工智能驱动的学习模式变革
利用人工智能模型优化大学英语教育中的混合式教学效果
数字绘图软件在提升艺术教育中学生特定艺术技能与行为意向中的作用研究
Cogent Education 是一份具有领先影响力的多学科开放获取期刊，面向广泛的教育研究领域发表高质量、经严格同行评审的学术成果。期刊由香港教育大学校长李子建教授担任主编，并由国际专家组成的编辑委员会共同推动其学术发展。编辑团队在评审过程中坚持客观、公正与建设性的原则，确保稿件依据其学术贡献与研究诚信获得合理评价。借助文章级别的计量指标，研究的影响力得以更加透明、直接地呈现。
本刊接收以下领域的文章：
成人与继续教育
艺术教育
课程与教学研究
数据说明
早期教育
教育政策
教育评估与测量
教育领导力与管理
教育心理学与咨询
高等教育
教育中的信息与通信技术
融合教育与特殊教育
国际与比较教育
语言教育
体育与健康教育
专业教育与培训
宗教、伦理与价值教育
教育社会学
STEM 教育
学生学习、儿童研究与学生声音
教师教育与专业发展
该期刊已被ESCI，Scopus，EBSCO，DOAJ等数据库收录。
影响因子
根据JCR显示，Cogent Education
在教育和教育研究领域排名 197/762
Scopus
根据Scopus显示, Cogent Education
2024年CiteScore为 2.9
2025年CiteScore Tracker为 3.7
社会科学：教育学领域排名 610/1620
作者须知
接收文章类型
Cogent Education 接收研究文章、综述文章、数据说明（Data Note）、注册报告。
审稿周期
从提交稿件到获取初审意见，平均需要53天
获取首个同行评审决定，平均需81天
稿件一旦接受后，在线出版平均需要14天
文章出版费（APC）
请访问期刊主页或Taylor & Francis Open Access APC Cost Finder查找适用于作者所在国家及不同文章类型的费用情况。若您所在的机构或相关资助者与我们签有开放获取出版协议，您可能有资格获得APC支持，请访问我们的作者服务网站以了解更多！
编辑团队
Cogent Education 的主编由香港教育大学校长李子建教授担任，期刊根据不同的教育学研究方向设置21个栏目，每个版块分别设有资深编辑。Cogent Education 期刊的编委和专家评审团汇聚了来自中国、英国、加拿大、美国、土耳其、马来西亚、波兰等国家的精英学者。其中，包括汕头大学的方帆教授、江西师范大学的刘辅兰教授、河南大学的梅冰教授、北京师范大学的潘琳教授和南京师范大学的赵丽教授等在内的多位中国学者为本刊的发展注入了不竭的动力与智慧。
主编
李子建
李子建教授现任香港教育大学校长及课程与教学讲座教授。他的研究范围涉及课程与教学、地理与环境教育、学校改进、教师发展、生命与价值观教育。
编辑委员会中国成员
赵丽
赵丽教授任职于南京师范大学教育科学学院，研究方向包括视觉文化、媒介素养、课程资源建设与开发、课堂教学行为研究等。
方帆
方帆，汕头大学教授（外国语言学与应用语言学），硕士研究生导师。研究方向为社会语言学、应用语言学、英语教学、教师发展等。
刘辅兰
刘辅兰，江西师范大学外国语学院教授、博士生导师。主要研究领域为外国语言学及应用语言学。
潘琳
潘琳，北京师范大学外国语言文学学院副教授。主要研究方向：语言教育（英文、国际中文）、社会语言学。
梅冰
梅冰，河南大学外语学院教授，硕士生导师。研究方向为应用语言学、外语教师教育、计算机辅助语言学习、数字化学习。
顾问委员会中国成员
刘骥
刘骥，陕西师范大学教授。研究领域：教育经济学、国际与比较教育学、量化研究方法、政策评估与因果识别。
近三年内高被引文章
Revolutionizing education: Artificial intelligence empowered learning in higher education
革新高等教育：人工智能驱动的学习模式变革
作者：Habeeb Ur Rahiman & Rashmi Kodikal
【查阅全文内容】👉https://sourl.co/yysRrB
文章摘要：
Global businesses are actively embracing Industry 4.0 and digital transformation. Simultaneously, the education sector is leveraging digital tools to foster personalized learning and equity. Universities transcending borders and students becoming increasingly global have opened new frontiers through the use of artificial intelligence (AI)-based tools in education. Since the role of AI is inevitable in future education, current research aims to identify the level of awareness of faculty members on the applicability and adoption of artificial intelligence. The study also intended to discover how AI enhanced their learning experience and impacted the degree of work engagement of teachers in higher education. A cluster and multi-stage sampling method was employed to select 250 faculty members from QS (Quacquarelli Symonds) ranked institutions operating in hybrid education modes. Utilizing a quantitative research approach and a structural equation model, factors influencing AI adoption in this context were explored. The findings revealed that AI implementation led to the evolution of robust evaluation and assessment methods, resulting in heightened faculty engagement levels. The study identified that perceived risk, performance expectancy, and awareness play significant roles in influencing work engagement and the adoption of AI within the higher education system through mediating variables, specifically attitude, and behavior.
Utilizing AI models to optimize blended teaching effectiveness in college-level English education
利用人工智能模型优化大学英语教育中的混合式教学效果
作者：Lizhen Shi, Arshad Muhammad Umer & Yanting Shi
【查阅全文内容】👉https://sourl.co/fyKY5b
文章摘要：
This paper proposes the adoption of AI technologies in higher education to support student learning. Using multi-modal blended learning theory and independent learning fundamental theory, the study explores the use of AI to evaluate and improve the effectiveness of blended teaching in college English courses. A new model of deep learning and a learning model of human job functions are proposed to explore the hybridization of college English education under the background of artificial intelligence. This study provides a road map for using AI in college-level English courses and offers valuable contributions to the field, including the proposed models of deep learning and human job functions which can be applied to other subjects and fields. By leveraging modern technologies such as cloud computing, big data, and AI. This study highlights the potential for educators to transform the way we teach and learn and improve the quality of education and support student success. Overall, this paper provides valuable insights for future research in the intersection of AI and education and emphasizes the importance of integrating technology in higher education to enhance the learning experience and meet the needs of modern students.
近一年内高阅读量文章
The role of digital drawing software in enhancing specific artistic skills and behavioral intentions in art education
数字绘图软件在提升艺术教育中学生特定艺术技能与行为意向中的作用研究
作者：Binbin Hu & Ya Li
【查阅全文内容】👉https://sourl.co/RYxiqg
文章摘要：
This study aims to explore the impact of digital drawing software on specific artistic skills and behavioral intentions in art education. Using a mixed-method approach that combines quantitative surveys and qualitative case analyses, the research examines how digital drawing software shapes students’ behavioral intentions and enhances specific artistic skills, including composition, color application, and detail rendering. The findings reveal that intrinsic motivational factors, such as perceived enjoyment, self-efficacy, and positive attitudes, are key drivers influencing students’ behavioral intentions to use digital drawing software, while extrinsic factors like perceived usefulness and ease of use have comparatively less influence. Furthermore, a 19-week Intervention Design and Implementation (IDI) confirms the positive role of systematic guidance and training in significantly improving students’ perceived enjoyment, self-efficacy, effort expectancy, and behavioral intentions. The results underscore the pivotal role of targeted interventions in fostering not only skill acquisition but also sustained engagement with digital tools, which is critical for modernizing art education. These findings provide empirical evidence for integrating digital tools in art education, highlighting the importance of fostering intrinsic motivation to enhance students’ artistic skill development and technology adoption. This research offers valuable strategies and directions for the digital transformation of art education.
"Jour - Know"
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