AI Literacy for All: Adjustable Interdisciplinary Socio-technical Curriculum
Project Overview
The document outlines a holistic approach to AI literacy in education, promoting an interdisciplinary socio-technical curriculum that integrates both technical and non-technical dimensions of AI. It underscores the necessity of AI literacy at all educational stages, from K-12 to adult learning, to empower individuals with the skills needed to comprehend, engage with, and critically assess AI technologies. Central to the curriculum are four key pillars: understanding the technical aspects of AI, fostering responsible interaction with generative AI, addressing ethical considerations, and exploring societal implications. The document emphasizes the importance of tailoring AI education to diverse audiences and contexts, thereby enhancing participation and cultivating informed citizens who can navigate the complexities of AI in various spheres of life. Through this structured approach, the findings suggest that a well-rounded AI education can lead to improved critical thinking, ethical awareness, and responsible use of generative AI technologies, ultimately preparing learners to thrive in an increasingly AI-driven world.
Key Applications
AI Literacy Curriculum
Context: K-12, higher education, non-CS majors, summer camps for high school students, and adult workforce training
Implementation: Curriculum development based on literature review and workshops, designed with adjustable units for different educational levels and demographics. Tailored to provide AI literacy across diverse audiences while balancing technical and non-technical aspects.
Outcomes: Enhanced understanding of AI technologies, increased AI competency across disciplines, fostering informed citizenship, ethical decision-making in AI usage, and improved engagement with AI tools.
Challenges: Need for resources to support interdisciplinary teaching; diverse learner needs and backgrounds may complicate curriculum delivery; balancing technical and non-technical aspects.
Implementation Barriers
Curriculum Design Barrier
The existing AI education curriculum is often too technical, lacking integration of socio-ethical implications.
Proposed Solutions: Develop a more interdisciplinary approach that balances technical skills with ethical considerations.
Access Barrier
Disproportionate access and usage of AI tools in learning environments can hinder equitable learning opportunities.
Proposed Solutions: Tailor AI education to different levels and demographics to ensure equitable access to AI literacy.
Resource Barrier
Limited resources for educators to effectively teach AI concepts and tools.
Proposed Solutions: Provide professional development and resources to support educators in delivering AI literacy.
Project Team
Sri Yash Tadimalla
Researcher
Mary Lou Maher
Researcher
Contact Information
For more information about this project or to discuss potential collaboration opportunities, please contact:
Sri Yash Tadimalla
Source Publication: View Original PaperLink opens in a new window