威尔科克森符号秩检验
领域(数学)
考试(生物学)
工程教育
秩(图论)
序数回归
知识管理
心理学
计算机科学
工程管理
医学教育
工程类
人工智能
教育学
医学
课程
机器学习
古生物学
数学
组合数学
纯数学
生物
作者
Per Åhag,Lisa Hed,R. Leijon,O. Nordenfors,L. Olsson
标识
DOI:10.1109/ieem58616.2023.10406717
摘要
This study explores the perceptions of master's program students in Industrial Engineering and Management (IEM) at Umeå University, Sweden, concerning the current and future impact of artificial intelligence (AI) on their discipline. Employing a descriptive, cross-sectional survey design, we collected quantitative data from participants asked to assess AI's influence on decision-making, human-computer interactions, and information management, among other areas. While ordinal regression analysis revealed no significant correlation between the student's academic year and their survey responses, a Wilcoxon signed-rank test indicated a statistically significant belief that AI's impact on all surveyed areas would intensify within the next decade. Our findings suggest a need for engineering education to evolve to adequately equip future professionals for the expanding influence of AI in IEM. Furthermore, the results add to the ongoing discussion of AI's role in engineering education and the broader industrial engineering and management field.
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