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Citation: Songmei Ma, Ying Zhang, Gang Liu, Wenlong Xu. Comprehensive Experiment Teaching Exploration and Practice in Polymeric Materials Integrating Research-Driven Learning, Creativity-Enhanced Competency, and Science-Education Synergy: A Case Study of Machine Learning-Assisted Intelligent Handwriting Recognition System[J]. University Chemistry, ;2026, 41(1): 289-297. doi: 10.12461/PKU.DXHX202509083 shu

Comprehensive Experiment Teaching Exploration and Practice in Polymeric Materials Integrating Research-Driven Learning, Creativity-Enhanced Competency, and Science-Education Synergy: A Case Study of Machine Learning-Assisted Intelligent Handwriting Recognition System

Songmei Ma ¹ ,
Ying Zhang ¹ ,
Gang Liu ² ,
Wenlong Xu ^1,,

1.
School of Materials Science and Engineering, Ludong University, Yantai 264025, Shandong Province, China;
2.
School of Chemistry and Chemical Engineering, Ludong University, Yantai 264025, Shandong Province, China

Corresponding author: Wenlong Xu, xuwenlong@ldu.edu.cn
Received Date: 17 September 2025
Revised Date: 24 November 2025

Conductive hydrogel sensors demonstrate significant application potential in intelligent interaction systems due to their high sensitivity and flexible characteristics. This experimental study developed a composite hydrogel through free radical polymerization using methacrylic acid as the monomer and MXene as the conductive filler, subsequently constructing a machine learning-assisted handwriting recognition system. By integrating cutting-edge research with pedagogical practice and incorporating interdisciplinary design elements, this approach effectively enhances students’ innovative capacities while fostering their understanding of the crucial role digital design and intelligent technologies play in societal advancement.
- Hydrogel,
- Sensor,
- Machine learning,
- Experimental teaching,
- Digitalization
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