García-Alonso Elena María, León-Mejía Ana Cristina, Sánchez-Cabrero Roberto, Guzmán-Ordaz Raquel
Department of Sociology and Communication, Faculty of Social Sciences, University of Salamanca, 37007 Salamanca, Spain.
Department of Evolutionary Psychology and Education, Faculty of Teacher Training and Education, Autonomous University of Madrid, 28049 Madrid, Spain.
Behav Sci (Basel). 2024 Jul 18;14(7):612. doi: 10.3390/bs14070612.
This study analyzes the perception and usage of ChatGPT based on the technology acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a convenience survey among university students in the social sciences, this research delves into the perception and utilization of this artificial intelligence tool. The analysis considers variables such as gender, academic year, prior experience with ChatGPT, and the training provided by university faculty. The networks created with the statistical tool "CARING" highlight the role of perceived utility, credibility, and prior experience in shaping attitudes and behaviors toward this emerging technology. Previous experience, familiarity with video games, and programming knowledge were related to more favorable attitudes towards ChatGPT. Students who received specific training showed lower confidence in the tool. These findings underscore the importance of implementing training strategies that raise awareness among students about both the potential strengths and weaknesses of artificial intelligence in educational contexts.
本研究基于技术接受模型（TAM）分析了对ChatGPT的认知与使用情况。通过对社会科学专业大学生进行的一项便利抽样调查开展重合网状分析（RAC），本研究深入探究了对这一人工智能工具的认知与利用情况。该分析考虑了性别、学年、使用ChatGPT的先前经验以及大学教师提供的培训等变量。使用统计工具“CARING”创建的网络突出了感知效用、可信度和先前经验在塑造对这一新兴技术的态度和行为方面的作用。先前经验、对电子游戏的熟悉程度以及编程知识与对ChatGPT更积极的态度相关。接受过特定培训的学生对该工具的信心较低。这些发现强调了实施培训策略以提高学生对教育背景下人工智能潜在优势和劣势认识的重要性。
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