课堂师生互动分析数据集

本数据集基于真实课堂的全程录像与观察记录，将师生互动行为转化为多维度量化指标。原始数据包含发言者、时间戳、语言内容等基础信息，经过系统化编码与深度加工，生成了互动类型、布鲁姆认知层级、情感倾向、技术使用方式、学生参与度等衍生指标，并附加互动轮次、教学环节、话语功能、互动网络类型、参与质量评分等结构化标签。数据集采用诊断导向的结构设计，将复杂的课堂互动过程转化为可量化的教学健康指标，为教师反思、教研分析和教学干预提供了直观的数据支撑。

This dataset is developed from full-course video recordings and observational logs of real classroom settings, converting teacher-student interaction behaviors into multi-dimensional quantitative metrics. The raw data includes basic information such as speaker identity, timestamps, and linguistic content. After systematic coding and in-depth processing, derived indicators including interaction types, Bloom's Taxonomy cognitive levels, emotional tendencies, technology usage modes, and student engagement are generated, along with structured tags such as interaction turns, teaching segments, discourse functions, interaction network types, and participation quality scores. Featuring a diagnosis-oriented structural design, this dataset converts the complex classroom interaction process into quantifiable teaching health metrics, providing intuitive data support for teacher reflection, teaching research analysis, and instructional intervention.

搜集汇总

背景与挑战

背景概述

该数据集基于真实课堂录像和观察记录，将师生互动行为转化为互动类型、认知层级、情感倾向等多维度量化指标，并附加结构化标签。它采用诊断导向的设计，将复杂互动过程转化为可量化的教学健康指标，旨在为教师反思、教研分析和教学干预提供直观的数据支撑，帮助提升课堂教学质量。