[论文解读] Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education

Cecilia Ka Yuk Chan, Wenjie Hu|arXiv (Cornell University)|Apr 29, 2023

Artificial Intelligence in Healthcare and Education被引用 101

一句话总结

对399名香港大学生的调查显示，在教学与学习中对GenAI普遍持积极态度，突出显示了好处与重要关注点。

ABSTRACT

This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs' 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students' perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students' perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.

研究动机与目标

• 了解学生在高等教育中对GenAI技术的熟悉程度。
• 评估在学习情境中使用GenAI工具的意愿。
• 确定GenAI在学习、写作、头脑风暴、研究方面的感知利益。
• 识别感知到的挑战与风险，包括准确性、隐私和伦理问题。
• 基于学生感知，为在高等教育中整合GenAI提供政策与实践建议。

提出的方法

• 在香港不同学科的399名本科生和研究生中进行了横断面调查。
• 测量对GenAI的熟悉程度、参与意愿、感知利益和关注点。
• 分析回答以识别一般态度与潜在整合策略。
• 通过John Biggs的3P模型解释研究结果，将感知与学习方式及学习成果联系起来。

实验结果

研究问题

• RQ1 学生在高等教育中对生成式AI技术的熟悉程度如何？
• RQ2 学生在学习过程中使用GenAI工具的意愿有多高？
• RQ3 学生认为GenAI在教学与学习中可以提供哪些好处？
• RQ4 学生将GenAI与哪些挑战或担忧相关联，包括准确性、隐私、伦理，以及对发展和社会的影响？
• RQ5 在3P模型的指导下，GenAI如何有效整合进高等教育以支持学习成果？

主要发现

• 学生普遍对GenAI在教学与学习中持积极态度。
• 学生认识到好处，如个性化学习支持、写作与头脑风暴帮助，以及研究与分析能力。
• 关注点集中在准确性、隐私、伦理问题，以及对个人发展、职业前景和社会价值观的潜在影响。
• 研究结果可用于制定政策并制定高等教育中负责任且有效整合GenAI的指南。
• 根据3P模型，学生的认知显著影响学习方式和学习成果。