New Directions for Teacher Development in the Transformation of Intelligent Education: A Review of How to Be a Teacher in the GenAI Era: Empowering Teaching and Research with Generative Artificial Intelligence

Journal of Economics and Technology in Education

JETE, Vol. 1, No. 1, 2026, pp.137-151.

Print ISSN 3105-2711; Online ISSN: 3105-272X

Journal homepage: https://www.jetejournal.com

DOI: https://doi.org/10.64058/jete260113ndtdt


New Directions for Teacher Development in the Transformation of Intelligent Education: A Review of How to Be a Teacher in the GenAI Era: Empowering Teaching and Research with Generative Artificial Intelligence

 

Wang Chunli, Duan Junyi

 

Abstract: The rapid advancement of Generative Artificial Intelligence is profoundly reshaping the educational landscape, presenting new challenges to the professional role and competency development of teachers. Within this context, the book How to Be a Teacher in the GenAI Era: Empowering Teaching and Research with Generative Artificial Intelligence systematically addresses this critical issue of our times. This review first analyzes the book’s contemporary background, highlighting its provision of timely theoretical and practical guidance aligned with national educational digitalization strategies and teacher development needs. Subsequently, the review examines the book’s logical framework and distinctive content features through four core dimensions: confronting the challenges of transformation, innovating methodological systems, empowering the entire teaching chain, and constructing a human-machine collaborative ecosystem. Finally, the review emphasizes that the core value of this work lies in its impetus for the transformation of the teacher’s role from “knowledge transmitter” to “learning designer,” providing systematic support encompassing philosophy, methodology, and tools for this shift. It holds significant reference value for promoting teachers’ professional autonomous development and the co-evolution of human-machine collaboration within the educational system.

Keywords: Generative Artificial Intelligence; Teacher Professional Development; Human-Machine Collaboration; Learning Designers

Author Biographies: Wang Chunli (Corresponding Author), Associate Professor, Faculty of Education, Henan Normal University. Research interests: intelligent education, computer-supported collaborative learning. E-mail: clwang66@163.com. Duan Junyi, Master’s student, Faculty of Education, Henan Normal University. Research interests: human-machine collaboration. E-mail: 451546103@qq.com.

 

标题:智能教育变革中的教师发展新路向——评《GenAI时代如何做教师:生成式人工智能赋能教学与研究》

摘要:生成式人工智能(GenAI)的迅猛发展正深刻重塑教育生态,对教师专业角色定位与能力发展提出全新挑战。在此背景下,《GenAI时代如何做教师:生成式人工智能赋能教学与研究》系统回应了这一时代命题。文章首先剖析了该书的时代背景,指出其为国家教育数字化战略与教师发展需求提供了及时的理论与实践指南。进而,文章从直面变革挑战、方法体系创新、教学全链条赋能与人机协同生态建构四个核心维度,评述了该书的逻辑框架与内容特色。文章最后强调,此著作的核心价值在于推动教师角色从“知识传授者”向“学习设计师”转型,并为这一转型提供了涵盖理念、方法与工具的系统化支持,对促进教师专业自主发展与教育体系人机协同进化具有重要参考意义。

关键词:生成式人工智能;教师专业发展;人机协同;学习设计师

作者简介:王春丽(通讯作者),河南师范大学教育学部副教授。研究方向:智能教育,计算机支持的协作学习。电邮:clwang66@163.com段俊怡,河南师范大学教育学部硕士研究生。研究方向:人机协同。电邮:451546103@qq.com。


Received: 09 Dec 2025 / Revised: 18 Apr 2026 / Accepted: 23 Apr 2026 / Published online: 30 Apr 2026 / Print published: 30 May 2026.


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