Dataset for Comparative Analysis of AI Models DeepSeek and ChatGPT in Command Execution within Higher Education
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This dataset was compiled to support a comparative analysis of two artificial intelligence models, ChatGPT and DeepSeek, in executing academic-related commands within the context of higher education. The data was collected using a Likert-scale questionnaire designed around the key dimensions of the DeLone & McLean Information Systems Success Model, which include System Quality (SQ), Information Quality (IQ), Service Quality (SEQ), Intention to Use (ITU), User Satisfaction (US), and Individual Impact (II).
本数据集旨在支撑对两款人工智能模型——ChatGPT与DeepSeek——在高等教育场景下执行学术类指令的对比分析。数据采集采用围绕德龙-麦克莱恩信息系统成功模型(DeLone & McLean Information Systems Success Model)核心维度设计的李克特量表(Likert-scale)问卷,涵盖系统质量(System Quality, SQ)、信息质量(Information Quality, IQ)、服务质量(Service Quality, SEQ)、使用意愿(Intention to Use, ITU)、用户满意度(User Satisfaction, US)以及个体影响(Individual Impact, II)六大维度。



