Research Article
AI-Assisted Shadow Learning Oriented to Cultivation of Interdisciplinary Innovation Ability of College Students
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341281, author={Zhibin Zhao and Zhili Wang and Xing Yin and Han Zhang and Sihao Liu}, title={AI-Assisted Shadow Learning Oriented to Cultivation of Interdisciplinary Innovation Ability of College Students}, proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={NMDME}, year={2024}, month={1}, keywords={shadow learning; interdisciplinary innovation; cultivation of innovation ability chatgpt generative ai}, doi={10.4108/eai.13-10-2023.2341281} }- Zhibin Zhao
Zhili Wang
Xing Yin
Han Zhang
Sihao Liu
Year: 2024
AI-Assisted Shadow Learning Oriented to Cultivation of Interdisciplinary Innovation Ability of College Students
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341281
Abstract
From the perspective of the interdisciplinary innovation ability cultivation of college students, this paper discusses the shadow learning paradigm, analyzes six problems that may exist in the implementation process, and proposes feasible AI-assisted solutions based on ChatGPT and generative artificial intelligence. The six issues in the shadow learning paradigm include the limitation of knowledge boundaries, personalized learning objectives and plans, customized assessment, novel study methods, additional learning support, and effective communication. The corresponding solutions include personalized knowledge graphs, plan automatic generation, test automatic generation, virtual reality and multimodal resources, virtual community and ChatGPT, and intelligent virtual workspace.
