The Path of AI Empowering College Education: A Study of Large Model Interview and Questionnaire Survey from the Perspective of Mental Models
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DOI: 10.25236/eeha.2024.017
Author(s)
Yizhao Dai, Yingxiao Lu, Hai Sun, Weihui Dai
Corresponding Author
Hai Sun
Abstract
Today's “Post-00” college students grow up in the era of highly developed Internet and social media, while the open and diverse social environment provides a broad learning and development platform for college students, but also contains numerous risks and challenges, threatening the healthy development of students' mental models. Therefore, college education should focus on the guidance and optimization of the students' mental development. In this paper, the large model research method is first employed to comprehensively and deeply understand the critical role of mental model cultivation in personal development through dialogue interviews. On this basis, the key points are summarized, questionnaires are designed and distributed to college students nationwide, and empirical analysis is conducted on the key points identified by the large model through online research. At the same time, data was collected on students' understanding of mental model cultivation, the acceptance, impact, and technical methods of artificial intelligence applied to college education. The path was explored for AI technology to empower college education from the perspective of mental models, aiming to assist educators in effectively utilizing various AI technologies to accurately recognize and analyze students' mental states, adjust educational content and methods promptly, and flexibly manage the educational rhythm. This would enhance the relevance and effectiveness of education and promote the comprehensive improvement of students' overall abilities.
Keywords
Mental models, Artificial Intelligence, Higher Education, Large Model Interviews