https://ojs.bbwpublisher.com/index.php/erd/issue/feedEducation Reform and Development2026-05-26T13:42:17+08:00cottoninfo@bbwpublisher.comOpen Journal Systems<p style="text-align: justify;"><em>Educational Reform and Development (ERD) </em>is a peer-reviewed, open-access international professional academic journal. It aims to reflect the latest achievements of educational reform and development, explore the laws of education, and serve to deepen educational reform and prosper education science. The main readers of this journal are principals, teachers, education administrators, education researchers, and enthusiastic comrades of large, middle and primary schools. </p> <p style="text-align: justify;">The journal accepts high quality articles that are solving educational research problems by using a review approach. This may include thematic or methodological reviews, or meta-analyses. The journal does not limit its scope to any age range. The journal invites articles on the broad range of settings in which people learn and are educated (school settings, corporate training, formal or informal settings, etc.).</p>https://ojs.bbwpublisher.com/index.php/erd/article/view/14519Exploring the Teaching Path of the Systems Engineering Course Empowered by Generative Artificial Intelligence2026-05-26T13:42:17+08:00Yu-bin Wangybwang@nuc.edu.cnFang-jie Gaogfangj2024@163.comZhen-hua Li1299400172@qq.com<p>The rapid growth of generative artificial intelligence (GenAI) has created both new opportunities and problems for instructional change in higher education. Systems Engineering, a key methodology course for “engineering management” postgraduates, aims to develop students’ abilities to understand and solve complex engineering problems using systematic thinking. However, persistent obstacles in teaching practice have long existed, including abstract theoretical concepts, methodologies with limited transferability to real-world circumstances, insufficient customized assistance, boring teaching forms, and strict evaluation practices. Taking the course of Systems Engineering as the research object, this study analyzes the course’s characteristics and teaching pain points. An overall framework is proposed, which centers on “human-machine collaboration”, with “pre-class, in-class, post-class” as the main line, and encompassing the dimensions of “teacher, student, and course assessment”. Based on this approach, we explain how GenAI might be integrated into the teaching of Systems Engineering from each of the three perspectives of teacher, student, and course assessment. This investigation is expected to serve as a reference for teaching reform in engineering management courses, aid in the development of compound engineering talents with systematic thinking ability, and contribute to the development of “new business” talents in the digital economy.</p>2026-05-26T13:42:16+08:00Copyright (c) 2026 Author(s)