“AI助教”在高校思想政治理论课中的应用情况数据集

本数据集采用实验组与对照组前后测对比设计，旨在系统评估“AI助教”在高校思想政治理论课中的应用效果。研究依托清华大学2024-2025学年秋季学期“思想道德与法治”课程，选取2个班级作为实验组与对照组，实验组在教学中引入“AI助教”辅助，对照组保持传统教学模式。数据采集时间范围为2024年9月至2025年1月，时间精度为学期初与学期末两个时间点，数据量161KB。空间范围为北京市清华大学，空间精度为“思想道德与法治”大班教学课堂与小班研讨课堂。数据集为结构化问卷调查数据，采用李克特量表与多项选择题形式，通过线下定向发放，问卷内容涵盖学生对生成式人工智能的认知、使用行为、满意度、教学效果影响、使用顾虑与收获等多个维度，并包含人口统计学信息。在数据质量控制方面，通过专家评审和预调查确保问卷信效度，数据处理包括数据清洗、编码、整合与验证等多个步骤。数据可用于量化分析“AI助教”在思政课中的实际影响，为教育管理决策、教学策略优化、AI教育产品改进提供实证支持，并推动思政课教学数字化转型与跨学科研究。

This dataset adopts a pre-post test comparison design with experimental and control groups, aiming to systematically evaluate the application effect of "AI Teaching Assistant" in college ideological and political theory courses. The study relies on the course "Ideological Morality and Rule of Law" at Tsinghua University in the fall semester of the 2024-2025 academic year, selecting two classes as the experimental group and control group respectively: the experimental group introduced "AI Teaching Assistant" for teaching assistance, while the control group maintained the traditional teaching mode. The data collection period spans from September 2024 to January 2025, with two time points: the beginning and the end of the semester, and the total data volume is 161 KB. The spatial scope covers Tsinghua University in Beijing, with the spatial precision referring to the large-class lectures and small-group seminar classes of the "Ideological Morality and Rule of Law" course. This dataset comprises structured questionnaire data, which adopts the forms of Likert scale and multiple-choice questions. The questionnaires were distributed offline in a targeted manner, covering multiple dimensions including students' cognition of generative artificial intelligence, usage behavior, satisfaction, impact on teaching effectiveness, usage concerns and gains, as well as demographic information. In terms of data quality control, expert review and pre-survey were conducted to ensure the reliability and validity of the questionnaire. Data processing includes multiple steps such as data cleaning, coding, integration and verification. The data can be used to quantitatively analyze the actual impact of "AI Teaching Assistant" in ideological and political courses, providing empirical support for education management decision-making, teaching strategy optimization and AI education product improvement, and promoting the digital transformation of ideological and political course teaching and interdisciplinary research.

搜集汇总

背景与挑战

背景概述

该数据集系统评估了“AI助教”在高校思想政治理论课中的应用效果，采用实验组与对照组前后测对比设计，依托清华大学2024-2025学年秋季学期“思想道德与法治”课程进行数据采集。数据集包含结构化问卷调查数据，涵盖学生对生成式人工智能的认知、使用行为、满意度及教学效果影响等多个维度，通过专家评审和预调查确保信效度，为思政课教学数字化转型和AI教育产品改进提供实证支持。