Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

Beyond the Classroom: Utilizing Large Language Models to Propel External Learning

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347667,
        author={Wenxia  Wei and Fang  Chen and Zhantian  Zhang and Wenxin  Lu and Yi  Wang},
        title={Beyond the Classroom: Utilizing Large Language Models to Propel External Learning},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={external learning large language model education digitalization},
        doi={10.4108/eai.29-3-2024.2347667}
    }
    
  • Wenxia Wei
    Fang Chen
    Zhantian Zhang
    Wenxin Lu
    Yi Wang
    Year: 2024
    Beyond the Classroom: Utilizing Large Language Models to Propel External Learning
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347667
Wenxia Wei1, Fang Chen1,*, Zhantian Zhang1, Wenxin Lu1, Yi Wang1
  • 1: National University of Defense Technology
*Contact email: chenfang17@nudt.edu.cn

Abstract

External learning, occurring outside traditional classrooms, emphasizes learner autonomy, flexibility, lifelong learning, critical thinking, and networking. However, it also presents challenges such as limited structure, resource access issues, isolation, distractions, progress assessment difficulties, credibility recognition gaps, and technology barriers exacerbated by the digital divide. With new technologies and innovative methods constantly emerging in the world of education, one such recent development is the use of large language models as a facilitator of learning outside the classroom. To enhance the external learning experience, a workflow incorporating AI tools like Language Model Large (LLM) is proposed. This workflow spans goal setting, curriculum curation, interactive learning sessions, and progress tracking, leveraging LLM capabilities to personalize the learning journey, curate relevant resources, facilitate interactive engagement, and provide real-time feedback. This paper examines the utilization of LLM by presenting the application of LLM in different external learning scenarios.