ChatGPT,由OpenAI设计的人工智能(AI)驱动的语言模型,由于其多功能的应用和复杂的功能,在高等教育中的采用经历了巨大的热潮。尽管对ChatGPT的普遍研究主要集中在其技术方面和教学方面,全面了解学生对ChatGPT的看法和经验仍然难以捉摸。为了解决这个差距,这项研究采用了同行访谈方法,对华东一所综合性大学的106名一年级本科生和81名一年级研究生的看法进行主题分析。数据分析显示,在所考察的四个因素中,年龄,性别,主要等级成为最有影响力的决定因素,其次是年龄和专业。研究生对ChatGPT在解决学术挑战方面的潜在局限性表现出更高的认识,并对与其应用相关的安全问题表现出更大的关注。这项研究为学生对ChatGPT的看法和经验提供了重要的见解,强调认识到与ChatGPT使用相关的潜在限制和伦理问题的重要性。此外,这些发现突出了伦理问题,当学生注意到ChatGPT使用中负责任的数据处理和学术诚信的重要性时,强调在人工智能利用中需要道德指导。此外,进一步的研究对于优化人工智能在教育中的使用至关重要,旨在有效提高学习成果。
ChatGPT, an artificial intelligence (AI)-driven language model engineered by OpenAI, has experienced a substantial upsurge in adoption within higher education due to its versatile applications and sophisticated capabilities. Although prevailing research on ChatGPT has predominantly concentrated on its technological aspects and pedagogical ramifications, a comprehensive understanding of students\' perceptions and experiences regarding ChatGPT remains elusive. To address this gap, this study employed a peer interview methodology, conducting a thematic analysis of 106 first-year undergraduates and 81 first-year postgraduate students\' perceptions from diverse disciplines at a comprehensive university in East
China. The data analysis revealed that among the four factors examined-grade, age, gender, and major-grade emerged as the most influential determinant, followed by age and major. Postgraduate students demonstrated heightened awareness of the potential limitations of ChatGPT in addressing academic challenges and exhibited greater concern for security issues associated with its application. This research offers essential insights into students\' perceptions and experiences with ChatGPT, emphasizing the importance of recognizing potential limitations and ethical concerns associated with ChatGPT usage. Additionally, the findings highlight ethical concerns, as students noted the importance of responsible data handling and academic integrity in ChatGPT usage, underscoring the need for ethical guidance in AI utilization. Moreover, further research is essential to optimize AI use in education, aiming to improve learning outcomes effectively.