地球资源数据云——数据资源详情

数字素养教育数据集

该数据集《Digital Literacy Education Dataset》主要用于监督学习任务，数据形态以表格为主。 题目说明：Learner interaction and demographic data for adaptive education systems 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：digital_literacy_dataset.csv。 This dataset is designed to support research and development in improving digital literacy education in rural areas, with a focus on rural revitalization. It includes comprehensive learner interaction data, demographic attributes, and post - training outcomes, making it suitable for building adaptive and personalized learning systems. Key features of this dataset include: Demographics: Information on age, gender, education level, employment status, household income, and location type. Pre - Training Scores: Baseline scores for basic computer knowledge, internet usage, and mobile literacy. Post - Training Progress: Scores achieved after training to track the impact of education modules. Engagement Metrics: Data on session counts, modules completed, average time spent per module, and quiz performance. Behavioral Insights: Engagement levels, adaptability scores, and learner feedback ratings. Outcome Measures: Overall digital literacy scores, skill application data, and employment impact information. This dataset is ideal for: Training and testing machine learning models for adaptive learning systems. Analyzing the effectiveness of digital literacy programs. Gaining insights into learner behavior and progress.