To actively implement the national digital education strategy action and deepen the practical application of digital transformation, comprehensively promote the high-quality development and reform of the Mechanical Engineering major, the School of Mechanical Engineering has based its construction on existing professional foundations. It combines the requirements of the national ‘101 Plan’ for core course construction and the educational needs empowered by artificial intelligence (AI) technology to establish a knowledge graph for the Mechanical Engineering major. This initiative involves in-depth reforms in areas such as knowledge systems, resource integration, teaching models, learning paradigms, and evaluation methods, using small-scale course reforms to address talent cultivation model issues and promote the deep integration of information technology with education and teaching.
Structured, Digital, and Visual Knowledge System
Meeting Students’ Personalized Precision Learning Needs
The construction of the Mechanical Engineering knowledge graph covers 11 core professional courses: Engineering Graphics, Engineering Training, Engineering Materials, Principles of Machinery, Engineering Fluid Mechanics and Thermal Basics, Interchangeability Technology, Design and Manufacturing III, Mechanical Engineering Testing Technology, Hydraulic Transmission and Control I, Fundamentals of Control Engineering, Mechanical Manufacturing Technology.
Based on structured and systematic logical relationships of knowledge points, a digital knowledge graph is established, showcasing the hierarchical structure and relationships of courses, ultimately presenting a visual map of the knowledge structure of each course. With knowledge points as the granularity, rich and systematic learning resources are integrated, merging digital teaching resources, teaching content, teaching processes, and teaching evaluations into one. The completed course knowledge graph enables knowledge point content search, systematically recommends related knowledge points, learning paths, knowledge point profiles, detailed information, and learning resources. Combined with an AI intelligent teaching assistant, it provides students with personalized intelligent Q&A and resource search, stimulating students’ interest in learning and intrinsic motivation while meeting their personalized precision learning needs.
Intelligent Analysis of Intersection Points
Achieving Deep Integration of Information Technology and Education
A complete professional knowledge graph system emphasizes knowledge intersection, forming a course layout system characterized by cross-integration, helping students explore knowledge connections and establish a complete core knowledge system for the profession, enhancing students’ heuristic thinking and active learning abilities. Through AI intelligent analysis, the correlation and similarity of cross-course knowledge points are analyzed, quantifying teaching effects, forming resource construction guidelines, and guiding professional development. This provides data support for managers to optimize course settings and resource allocation; offers teaching support for teachers in advancing educational digital transformation and intelligent upgrades, reconstructing teaching methods, improving teaching models, and optimizing teaching evaluations; and meets students’ personalized learning needs, promoting autonomous learning, continuously improving teaching quality and student learning efficiency, through deepening the integration and innovation of information technology with education and teaching, implementing a new paradigm of educational informatization and digital teaching.
Artificial Intelligence Empowers Educational Transformation
Promoting Frontline Innovations and Development
The School of Mechanical Engineering, in combination with AI technology, has completed a new form of core course content system based on knowledge graphs and designed integrated teaching for cross-courses, optimizing the supply model of digital resources, providing students with a complete professional knowledge structure, and assisting in the digital transformation of education and teaching. The school will continue to deepen the reform of digital education and teaching, optimizing the talent cultivation system, closely integrating the requirements of professional construction and the cultivation of top innovative talents, and promoting the reform of the top innovative talent cultivation system in mechanical engineering in the new era.
Source: Zhejiang University School of Mechanical Engineering WeChat Official Account