数据链接：
官方服务：
资源简介：
Predicting Engagement and Exam Performance
学习参与度与考试成绩预测
应用场景：
创建时间：
2022-11-23
相关数据集
CMOSE
CMOSE数据集是由香港科技大学创建的一个综合多模态在线学生参与度数据集，包含高质量的标签。该数据集收集自在线演示培训课程的视频片段，涵盖了多种自然场景下的参与者行为。数据集中的每个视频片段都与由心理学专家指导的标签员分配的参与度标签相关联。CMOSE数据集不仅提供了丰富的视觉特征，如预训练视频特征、高级面部特征和音频特征，还特别关注了数据的不平衡问题和类内变异，通过MocoRank机制进行处理。
arXiv2023-12-15 更新2800
Supporting data for “Investigating the Implementation and Effects of Personalized Gamification on Student Affective, Behavioral, and Cognitive Engagement”
The dataset is to support a PhD thesis. This thesis aims to explore the implementation and effects of personalized gamification on student engagement. This thesis includes five empirical studies, Stud
DataCite Commons2024-12-13 更新70
Student Performance Prediction Dataset.
This dataset contains the research-ready, preprocessed version of the publicly available Student Performance dataset originally compiled by Cortez and Silva (2008). The original dataset includes acade
NIAID Data Ecosystem40
Replication Data for: When Poor Students Attend Rich Schools: Do Affluent Social Environments Increase or Decrease Participation?
This page contains the replication code for "When Poor Students Attend Rich Schools: Do Affluent Social Environments Increase or Decrease Participation?" The data for this paper were acquired through
NIAID Data Ecosystem80
University Hyflex Courses Observations
This document contains course observations of Hyflex courses, where students are able to attend online and in-person simultaneously. Courses were observed simultaneously by an in-person and an online
DataCite Commons2024-11-14 更新50
