IMPROVE

The IMPROVE database was developed to assess the impact of mobile phone usage on learners engaged in online education in a 30-minutes learning session. It evaluates not only academic performance and learner feedback but also captures biometric, behavioral, and physiological signals, enabling a thorough analysis of how mobile phone use affects learning. Data were collected from 120 learners, categorized into three groups based on their levels of mobile phone interaction. A variety of sensors were utilized to gather data, including electroencephalography (EEG) waves, RGB videos, eye tracking, and heart rate, all of which have been shown in cutting-edge research to be effective indicators of learner behavior and cognition. The database also features metadata derived from processed videos, such as face bounding boxes, facial landmarks, and Euler angles for head pose estimation. Additionally, it contains performance data and self-reported questionnaires from the learners. Phone usage events were labeled, encompassing both supervisor-triggered and uncontrolled instances.

本IMPROVE数据库旨在评估30分钟在线学习时段内，手机使用对学习者的影响。该数据库不仅评估学习者的学业表现与反馈情况，还采集了生物特征、行为及生理信号，可为全面分析手机使用对学习过程的影响提供支撑。研究共收集120名学习者的相关数据，并依据其手机交互水平将其划分为三组。研究采用多种传感器开展数据采集工作，涵盖脑电图（electroencephalography）波形、RGB视频、眼动追踪数据以及心率数据；上述各类指标均在前沿研究中被证实为反映学习者行为与认知状态的有效表征。该数据库还包含经处理视频提取得到的元数据，例如人脸边界框、面部关键点以及用于头部姿态估计的欧拉角。此外，库中还收录了学习者的学业表现数据与自我报告问卷结果。研究对手机使用事件进行了标注，涵盖监管触发与非受控两类使用场景。