Raw Data_A Study on the Influencing Factors of Higher Vocational College Students’ Academic Engagement in English Learning Facilitated by AI Technology

The dataset, "Raw Data_A Study on the Influencing Factors of Higher Vocational College Students’ Academic Engagement in English Learning Facilitated by AI Technology", was collected from three higher vocational colleges in China using Wenjuanxing (https://www.wjx.cn/) between November and December 2024. After excluding invalid responses, 1538 valid questionnaires were analyzed. The study focused on key psychological factors, including AI affordance, AI literacy, teacher support, AI trust, foreign language enjoyment and academic engagement, to explore their impact under the pressures of modern society and education. This dataset provides valuable insights for understanding the psychological state and development of higher vocational college students.

本数据集的英文名称为"Raw Data_A Study on the Influencing Factors of Higher Vocational College Students’ Academic Engagement in English Learning Facilitated by AI Technology"，中文译名为《人工智能技术赋能高等职业院校学生英语学习学业投入影响因素研究》原始数据集。该数据集于2024年11月至12月期间，通过问卷星（Wenjuanxing，https://www.wjx.cn/）从国内三所高等职业院校采集完成。在剔除无效作答问卷后，最终纳入统计分析的有效问卷共计1538份。本研究聚焦于六项关键心理变量，包括人工智能可供性（AI affordance）、人工智能素养（AI literacy）、教师支持、人工智能信任、外语学习愉悦感以及学业投入，旨在探究现代社会与教育双重压力下，上述因素对高职学生英语学习学业投入的影响机制。本数据集为深入理解高等职业院校学生的心理状态与发展状况提供了极具价值的研究参考。