Acceptance and Use of ChatGPT Among College Students: A Dataset from Select Higher Education Institutions in Luzon, Visayas, and Mindanao

This study, anchored in the Unified Theory of Acceptance and Utilization of Technology 2 (UTAUT2), investigates the determinants of the acceptance and use of ChatGPT among college students from select Philippine Higher Education Institutions in Luzon, Visayas, and Mindanao. Using a comprehensive online survey, 2,254 responses from 95 institutions were collected from July 22 to October 29, 2023. Analyzing the data with WarpPLS 8.0, the study determines factors such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, and demographic variables. Rigorous data cleansing yielded 1,242 valid responses. The data were intended to be analyzed using the PLS SEM approach to reveal direct effects and also the moderating roles of age, gender, and experience. This research contributes a valuable dataset, shedding light on AI-enabled chatbot adoption in higher education, with implications for global comparative analyses in similar contexts.本研究以技术接受与使用统一理论2（Unified Theory of Acceptance and Utilization of Technology 2, UTAUT2）为理论锚点，针对菲律宾吕宋、米沙鄢及棉兰老岛地区部分高等教育机构的大学生群体，探究其接受并使用ChatGPT的影响因素。研究采用全面的线上问卷调查方法，于2023年7月22日至10月29日期间，从95所院校回收2254份初始问卷作答。随后使用WarpPLS 8.0对数据进行初步分析，识别出绩效期望、努力期望、社会影响、促成条件、享乐动机、价格价值、使用习惯及人口统计学变量等核心影响维度。经严格的数据清洗流程后，最终获得1242份有效问卷数据。本研究拟采用偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modeling, PLS-SEM）对清洗后的数据展开深入分析，以揭示各变量间的直接效应，同时探究年龄、性别与使用经验的调节作用。本研究构建的数据集具有重要学术价值，可为高等教育领域人工智能赋能聊天机器人的采纳研究提供实证支撑，同时为同类场景下的全球比较分析提供关键借鉴依据。