导航矛盾:人工智能及其对学生参与工程教育的影响
Liliana Pedraja-Rejas1, Patricio Lazo Vega1, Pablo Rojas Huanca1
1Departamento de Ingeniería Industrial y de Sistemas, Universidad de Tarapacá, Casilla 7D, Arica 1020000, Chile.
Behavioral sciences (Basel, Switzerland)
|January 28, 2026
概括
人工智能 (AI) 采用率在高等教育中很高,但学生们表示有不同的感受. 有效的AI整合需要对关键数字素养和道德使用的机构支持.
科学领域:
- 教育技术的教育技术
- 高等教育研究 高等教育研究
- 教育中的人工智能
背景情况:
- 在拉丁美洲高等教育中,学生对人工智能的经验存在有限的经验证据.
- 了解人工智能采用的情感,认知和伦理维度对于有效的整合至关重要.
- 这项研究解决了在学术环境中理解学生对人工智能工具的矛盾的差距.
研究的目的:
- 检查智利工程学生中人工智能采用模式.
- 调查与学术学习人工智能工具相关的感知有用性和矛盾经验.
- 识别由人工智能参与引起的情感,认知和道德紧张关系.
主要方法:
- 采用混合方法方法,结合定量和定性分析.
- 对170名工程专业的学生进行了封闭式和开放式问卷调查.
- 定量分析确定了采用率和感知的有用性;定性分析探讨了新出现的紧张关系.
主要成果:
- 观察到人工智能的高采用率 (73.5%),主要是由于对节省时间和改善工作的感知效用.
- 学生报告总体看法是积极的,但表现出深刻的矛盾.
- 担忧包括道德问题 (抄袭),认知依赖和技术可靠性.
结论:
- 在高等教育中有效地整合人工智能需要的不仅仅是技术访问;它需要机构战略.
- 促进关键的数字素养,明确的政策和支持计划对于道德和公平的AI采用至关重要.
- 机构战略必须解决能力和性别差距,以确保人工智能增强学习,而不妨碍批判性思维的发展.
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