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Teaching Artificial Intelligence for Non-computer Science Students in Undergraduate Education: A Competency Framework and an AI Course (Doctoral Consortium)

Published: 06 February 2024 Publication History

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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Cited By

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  • (2024)A Critical Review of Teaching and Learning Artificial Intelligence (AI) Literacy: Developing an Intelligence-based AI Literacy Framework for Primary School EducationComputers and Education: Artificial Intelligence10.1016/j.caeai.2024.100319(100319)Online publication date: Oct-2024

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  1. Teaching Artificial Intelligence for Non-computer Science Students in Undergraduate Education: A Competency Framework and an AI Course (Doctoral Consortium)

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        Koli Calling '23: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research
        November 2023
        361 pages
        ISBN:9798400716539
        DOI:10.1145/3631802
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

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        Published: 06 February 2024

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        Author Tags

        1. AI education
        2. competency-based education
        3. undergraduate education

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        • German Federal Ministry of Education and Research (BMBF)

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        • (2024)A Critical Review of Teaching and Learning Artificial Intelligence (AI) Literacy: Developing an Intelligence-based AI Literacy Framework for Primary School EducationComputers and Education: Artificial Intelligence10.1016/j.caeai.2024.100319(100319)Online publication date: Oct-2024

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