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Teaching Artificial Intelligence for Non-computer Science Students in Undergraduate Education: A Competency Framework and an AI Course (Doctoral Consortium)
2
Zitationen
1
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI) systems are saving time, reducing costs, and human efforts to perform tasks in diverse fields such as education, medicine, finance, and journalism. This growing relevance of AI in different domains brings a need to prepare future professionals in undergraduate education to use AI technologies effectively and responsibly in their careers. Through AI literacy in undergraduate education, non-computer science students can become prepared to use AI methods and tools to bring benefits (e.g., saving time, better outcomes) for their domains/future jobs, understand and increase awareness of the ethical, social, and legal issues raised by AI and critically evaluate these technologies when using them in their future jobs. Based on that, the main objective of this research is to develop an undergraduate AI course based on a competency framework that will empower future professionals from different domains with AI knowledge and skills.
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