AI助教成趋势，但需警惕学生过度依赖。
AI in data science education: experiences from the classroom
- 引入ChatGPT等大模型辅助教学，提升任务效率。
- 过度依赖影响问题解决能力发展，需警惕。
- 适合关注AI教育应用与评估改革的教师。
本研究探讨了人工智能，特别是大型语言模型（如ChatGPT）在教育场景中的整合，重点关注其对教与学的影响。通过对瓦赫宁根大学数据科学课程负责人访谈，研究识别出AI在课堂中的潜在益处与挑战。尽管AI工具能简化任务并增强学习体验，但也引发学生过度依赖技术的担忧，可能削弱关键认知与问题解决能力的发展。研究强调负责任使用AI、伦理考量及评估方式的调整，以确保教育目标达成。若合理融入，AI可成为教育的有力助手，前提是作为基础学习过程的补充而非替代。
原文摘要 · Abstract (English)
This study explores the integration of AI, particularly large language models (LLMs) like ChatGPT, into educational settings, focusing on the implications for teaching and learning. Through interviews with course coordinators from data science courses at Wageningen University, this research identifies both the benefits and challenges associated with AI in the classroom. While AI tools can streamline tasks and enhance learning, concerns arise regarding students' overreliance on these technologies, potentially hindering the development of essential cognitive and problem solving skills. The study highlights the importance of responsible AI usage, ethical considerations, and the need for adapting assessment methods to ensure educational outcomes are met. With careful integration, AI can be a valuable asset in education, provided it is used to complement rather than replace fundamental learning processes.
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