Abstract: 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.

Key words: Hydrogel, Sensor, Machine learning, Experimental teaching, Digitalization