Unlike traditional educational chatbots that rely on pre-programmed responses, large-language model-driven chatbots, such as ChatGPT, demonstrate remarkable versatility and have the potential to serve as a dynamic resource for addressing student needs from understanding advanced concepts to solving complex problems. This work explores the impact of such technology on student learning in an interdisciplinary, project-oriented data visualization course. Throughout the semester, students engaged with ChatGPT across four distinct projects, including data visualizations and implementing them using a variety of tools including Tableau, D3, and Vega-lite. We collected conversation logs and reflection surveys from the students after each assignment. In addition, we conducted interviews with selected students to gain deeper insights into their overall experiences with ChatGPT. Our analysis examined the advantages and barriers of using ChatGPT, students' querying behavior, the types of assistance sought, and its impact on assignment outcomes and engagement. Based on the findings, we discuss design considerations for an educational solution that goes beyond the basic interface of ChatGPT, specifically tailored for data visualization education.

翻译：与传统依赖预设响应的教育聊天机器人不同，基于大语言模型的聊天机器人（如ChatGPT）展现出显著的通用性，能够作为动态资源满足学生从理解高级概念到解决复杂问题的多层次需求。本研究探讨了此类技术对跨学科项目导向型数据可视化课程中学生学习的影响。整个学期中，学生在四个不同项目中运用ChatGPT，包括使用Tableau、D3和Vega-lite等多种工具实现数据可视化。我们在每次作业后收集了学生的对话记录与反思问卷，并对部分学生进行深度访谈以获取其使用ChatGPT的整体体验。通过分析ChatGPT的优势与障碍、学生查询行为、寻求帮助的类型及其对作业成果与投入度的影响，我们基于研究发现讨论了超越ChatGPT基础界面的教育解决方案的设计考量，该方案专门面向数据可视化教育领域。