Datasets characteristics of KDDCup 2015 and XuetangX.

NIAID Data Ecosystem2026-03-13 收录

教育数据挖掘

在线学习行为

数据链接：

https://figshare.com/articles/dataset/Datasets_characteristics_of_KDDCup_2015_and_XuetangX_/19718660 数据链接链接失效反馈

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Datasets characteristics of KDDCup 2015 and XuetangX.

创建时间：

2022-05-05

财学堂学员课程学习记录数据

教育数据挖掘

个性化学习

本数据基于学员课程学习记录（如观看进度、互动频率、测试成绩、完成率、难点标记等），形成多维度、时序性的学习行为数据集，可支撑教育场景下的个性化学习与课程运营优化。数据形态主要为结构化行为日志与结果数据，可关联学员属性、课程知识体系等元数据。其核心功能包括：分析个体学习状态与知识薄弱点，识别课程内容合理性与难点分布，推断学员知识掌握程度，并挖掘学习活跃模式与热门内容。该数据主要用于四类场景：一是

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在线学习行为

教育技术接受度研究

To explore the influencing factors of college students' learning intention to online teaching videos during the pandemic, this study utilizes empirical research from four aspects includ

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In-session dropout prediction model This project describes an in-session prediction model that predicts student early dropout from online learning exercises. Dropout prediction models for Massive

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The dataset comes from a study by Riestra-Gonz et al. and is based on log data from the Moodle LMS of the University of Oviedo, Spain, for the academic year 2017-2018, covering 8.5 million interaction

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Evaluation Coefficients Dataset for GCN-Based Cognitive Diagnosis in Class A and Class B

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This dataset contains evaluation data collected from two student groups (Class A and Class B) to support the study titled \u201cA Cognitive Diagnosis Method Based on GCN for Detecting Learners\u2019 C

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Datasets characteristics of KDDCup 2015 and XuetangX.

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