基于知识点得分的中小学教学研究数据集

通过在为中小学学校提供考试与作业批阅、统计、学情诊断分析、精准教学等服务的过程中，利用高速扫描仪和点阵智能笔技术，采集学校真实教学场景数据，然后将包括试题题目、得分率数据等进行脱敏加工处理，加工处理的方向主要是对试题题目进行学科知识点标注、教材章节、难易度等的标注，为试题题目推荐同类题，然后将加工后的数据按照要求进行重新组合计算，满足不同场景的实际使用需求。

By utilizing high-speed scanners and dot-matrix smart pen technologies to collect real teaching scenario data from primary and secondary schools during the delivery of services such as exam and homework grading, statistical analysis, learning situation diagnosis and precise teaching, the collected data including test questions and score rate data are first desensitized. The subsequent processing mainly involves annotating the test questions with subject knowledge points, textbook chapters, difficulty levels and other relevant information, recommending similar questions for each test question, and then recombining and calculating the processed data in accordance with specified requirements to meet the practical usage demands of various scenarios.

搜集汇总

数据集介绍

特点

该数据集包含4亿条记录，每天更新，来源于中小学真实教学场景，通过技术手段采集并加工处理，用于分析学生学习知识点掌握情况，帮助教育工作者改进教学策略。数据集详细记录了知识点、题目内容、学生得分率等信息，适用于中小学教学研究。