该数据集包含问题（problem）、答案（answer）、来源（source）、解决方案（solution）、答案来源（answer_source）、学生解决方案（student_solution）、问题ID（problem_id）、干预（intervention）、新学生解决方案（new_student_solution）、完整指导（full_guidance）、完整指导提示（full_guid

Hugging Face2025-11-12 更新110

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Data were collected from 140 undergraduate students in a cybersecurity course who collaboratively designed a metaverse project on Roblox following the ICAP framework. The dataset included measures of

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TAUR-dev/solution-trees__short-and-wide_p3_batch37

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该数据集包含了多个与问题解决相关的字段，如解决方案、问题本身、不同类型的思考轨迹、评分和评分原因等。数据集分为训练集，包含了1000个示例，总大小为572,510,263字节。

Hugging Face2025-03-13 更新140

Advancing Generative Intelligent Tutoring Systems with GPT-4: Design, Evaluation, and a Modular Framework for Future Learning Platforms

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Generative Intelligent Tutoring Systems (ITS), powered by advanced language models like GPT-4, represent a transformative approach to personalized education by enabling real-time adaptability, dynamic

DataCite Commons2024-11-18 更新50

Personalized Education Path Dataset

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