加强 MSI 的人工智能教育:基于设计的研究方法

Sambit Bhattacharya, Bogdan Czejdo, Rebecca Zulli, Adrienne A. Smith
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引用次数: 0

摘要

虽然学生们往往对自己选择的领域充满热情,但他们对人工智能技术对其专业的深远影响往往认识有限。为了在学习计算机科学和非计算机科学(刑事司法和法医学)的本科生中推动培养与学科相关的人工智能素养,必须大力开发和研究人工智能主题的课程渗透。项目团队和外部评估人员采用基于设计的研究模式,对模块开发和实施的第一次迭代进行了研究。外部评估小组利用通过调查、焦点小组、批判性审查和反思练习收集的数据,得出了一些结论,为项目小组修订和改进第二轮迭代的材料和方法提供了依据。这些工作可以帮助教育工作者和人工智能模块开发人员调整人工智能课程,以解决这些具体领域的问题,确保学生更准确地了解人工智能在其未来职业领域中的应用。
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Enhancing AI Education at an MSI: A Design-Based Research Approach
While students are often passionate about their chosen fields, they often have limited awareness of the profound impact of AI technologies on their professions. In order to advance efforts in building subject-relevant AI literacy among undergraduate students studying Computer Science and non-Computer Science (Criminal Justice and Forensic Science) it is imperative to engage in rigorous efforts to develop and study curricular infusion of Artificial Intelligence topics. Using a Design-Based Research model, the project team and the external evaluators studied the first iteration of the module development and implementation. Using data collected through surveys, focus groups, critical review, and reflection exercises the external evaluation team produced findings that informed the project team in revising and improving their materials and approach for the second iteration. These efforts can help educators and the AI module developers tailor their AI curriculum to address these specific areas, ensuring that students develop a more accurate understanding of applications of AI in their future career field.
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