MM-TBA.zip

MM-TBA is a comprehensive multi-modal dataset designed for analyzing teacher behavior in offline classroom settings. MM-TBA consists of three sub-datasets: the Teacher Teaching Action Detection Sub-Dataset, the Teacher Lecture Evaluation Sub-Dataset, and the Teaching Design Sub-Dataset. The Teacher Teaching Action Detection Sub-Dataset includes visual feature files of teachers' teaching actions and action classification annotation files. The Teacher Lecture Evaluation Sub-Dataset comprises the text of teachers' lectures and corresponding evaluation reports. The Teaching Design Sub-Dataset contains the original teaching designs and their respective annotation files. The aim of introducing MM-TBA is to promote scientific research in teacher behavior and cognitive science, provide new research tools for educational science, and foster the development of intelligent education technology.MM-TBA是一款专为离线课堂场景下教师行为分析设计的多模态综合数据集。该数据集包含三大子数据集：教师教学动作检测子数据集（Teacher Teaching Action Detection Sub-Dataset）、教师授课评价子数据集（Teacher Lecture Evaluation Sub-Dataset）以及教学设计子数据集（Teaching Design Sub-Dataset）。其中，教师教学动作检测子数据集收录教师教学动作的视觉特征文件与动作分类标注文件；教师授课评价子数据集涵盖教师授课文本及对应评价报告；教学设计子数据集则收录原始教学设计方案及其配套标注文件。推出MM-TBA旨在推动教师行为与认知科学领域的科学研究，为教育科学提供全新研究工具，并助力智能教育技术的发展。

搜集汇总

背景与挑战

背景概述

MM-TBA是一个多模态数据集，专注于线下课堂教师行为分析，包含教学动作检测、讲课评估和教学设计三个子数据集，旨在支持教育科学研究和智能教育技术发展。