The landscape of software developer learning resources has continuously evolved, with recent trends favoring engaging formats like video tutorials. The emergence of Large Language Models (LLMs) like ChatGPT presents a new learning paradigm. While existing research explores the potential of LLMs in software development and education, their impact on developers' learning and solution-seeking behavior remains unexplored. To address this gap, we conducted a survey targeting software developers and computer science students, gathering 341 responses, of which 268 were completed and analyzed. This study investigates how AI chatbots like ChatGPT have influenced developers' learning preferences when acquiring new skills, exploring technologies, and resolving programming issues. Through quantitative and qualitative analysis, we explore whether AI tools supplement or replace traditional learning resources such as video tutorials, written tutorials, and Q&A forums. Our findings reveal a nuanced view: while video tutorials continue to be highly preferred for their comprehensive coverage, a significant number of respondents view AI chatbots as potential replacements for written tutorials, underscoring a shift towards more interactive and personalized learning experiences. Additionally, AI chatbots are increasingly considered valuable supplements to video tutorials, indicating their growing role in the developers' learning resources. These insights offer valuable directions for educators and the software development community by shedding light on the evolving preferences toward learning resources in the era of ChatGPT.

翻译：软件开发者的学习资源格局持续演变，近期趋势更青睐视频教程等互动形式。以ChatGPT为代表的大型语言模型的出现带来了新的学习范式。尽管现有研究已探讨了LLM在软件开发和教育领域的潜力，但其对开发者学习与解决方案寻求行为的影响尚未得到充分探索。为填补这一空白，我们针对软件开发者和计算机科学专业学生开展了一项调查，共收集341份回复，其中268份有效问卷被纳入分析。本研究旨在探究ChatGPT等AI聊天机器人如何影响开发者在学习新技能、探索技术和解决编程问题时的资源偏好。通过定量与定性分析，我们深入探讨了AI工具究竟是对视频教程、书面教程及问答论坛等传统学习资源的补充还是替代。研究结果呈现出细致入微的图景：尽管视频教程因其全面性仍备受青睐，但大量受访者认为AI聊天机器人可能替代书面教程，这标志着学习体验正朝着更具互动性和个性化的方向转变。此外，AI聊天机器人日益被视为视频教程的重要补充，表明其在开发者学习资源体系中的角色正不断增强。这些发现通过揭示ChatGPT时代学习资源偏好的演变趋势，为教育工作者和软件开发社区提供了有价值的发展方向。