Li, M. X.; Shen, Q. M. Intelligent course construction and digital teaching practice of polymer chemistry experiment. Polymer Bulletin (in ChineseDOI: 10.11687/j.issn1003-3726.2026.26339.
With the in-depth implementation of the national education digitization strategy
the intelligent reform of experimental teaching in colleges has become a key breakthrough in improving the quality of training top-notch innovative talents. Taking the polymer chemistry experiment course as an example
this study systematically expounds the overall structure and implementation path of the intelligent course construction. The course takes “ability orientation
virtual and real integration
and digital intelligence empowerment” as the core concept
constructs three map systems of knowledge
ability
and problem
integrates a number of virtual simulation experiments
and creates a teaching resource platform with deep integration of “entity experiment + virtual simulation”. The course teaching adopts the teaching mode of problem-based inquiry learning combined with P-BOPPS-E
and uses tools such as AI agent to assist personalized learning and process evaluation
so as to realize the transformation from experience evaluation to data-driven multiple evaluation. This mode effectively exercises students’ ability to solve complex engineering problems
improves scientific research thinking and experimental teaching effect
and provides practical experience for the digital transformation of experimental courses.