基于情境和视觉数据的野外学生行为投入检测
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
摘要：
为了研究学生的行为投入（任务内和任务外）的检测，我们提出了一个两阶段的方法在这项研究中。在第1阶段，上下文日志（URL）用于评估内容平台的活跃使用情况。如果存在主动使用，则在阶段2中利用外观信息来推断行为参与。描述上下文信息将总体F1分数从0.77提高到0.82。我们的跨课堂和跨平台的实验表明，所提出的通用和多模态的行为参与模型的适用性，以不同的学生或不同的学科领域。
英文摘要：
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study. In Phase 1, contextual logs (URLs) are utilized to assess active usage of the content platform. If there is active use, the appearance information is utilized in Phase 2 to infer behavioral engagement. Incorporating the contextual information improved the overall F1-scores from 0.77 to 0.82. Our cross-classroom and cross-platform experiments showed the proposed generic and multi-modal behavioral engagement models' applicability to a different set of students or different subject areas.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
