Abstract As generative artificial intelligence (AI) becomes increasingly integrated into society and education, more institutions are implementing AI usage policies and offering introductory AI courses. These courses, however, should not replicate the technical focus typically found in introductory computer science (CS) courses like CS1 and CS2. In this paper, we use an adjustable, interdisciplinary socio‐technical AI literacy framework to design and present an introductory AI literacy course. We present a refined version of this framework informed by the teaching of a 1‐credit general education AI literacy course (primarily for freshmen and first‐year students from various majors), a 3‐credit course for CS majors at all levels, and a summer camp for high school students. Drawing from these teaching experiences and the evolving research landscape, we propose an introductory AI literacy course design framework structured around four cross‐cutting pillars. These pillars encompass (1) understanding the scope and technical dimensions of AI technologies, (2) learning how to interact with (generative) AI technologies, (3) applying principles of critical, ethical, and responsible AI usage, and (4) analyzing implications of AI on society. We posit that achieving AI literacy is essential for all students, those pursuing AI‐related careers, and those following other educational or professional paths. This introductory course, positioned at the beginning of a program, creates a foundation for ongoing and advanced AI education. The course design approach is presented as a series of modules and subtopics under each pillar. We emphasize the importance of thoughtful instructional design, including pedagogy, expected learning outcomes, and assessment strategies. This approach not only integrates social and technical learning but also democratizes AI education across diverse student populations and equips all learners with the socio‐technical, multidisciplinary perspectives necessary to navigate and shape the ethical future of AI. 
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                            Integrating a Module on Artificial Intelligence Literacy in an Undergraduate Construction Management Course
                        
                    
    
            The rapid advancements in Artificial Intelligence (AI) hold the promise of transformative benefits across industries, including construction. To navigate this changing landscape, construction students must not only harness AI's potential but also grasp its ethical considerations and potential challenges. As such, there is a growing imperative within construction education to foster AI literacy among prospective professionals. This study developed and integrated an AI in Construction course module into an undergraduate construction management course. The primary goal is to equip students with AI literacy, achieved through a comprehensive approach that encompasses both theoretical knowledge, covering essential AI concepts and their applications in construction, and practical hands-on experiences, exemplified by a project focused on computer vision for personal protective equipment (PPE) inspection. Results from the course module implementation show that students gained a basic understanding of AI fundamentals after the module, such as dataset annotation, model development, deployment, and evaluation. Qualitative feedback indicates students were motivated to explore further AI-related topics in construction, and several topics that are of their interest were identified. These findings affirm the effectiveness of the proposed module and offer valuable insights for further development and enhancement of AI-related modules in construction education. 
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                            - Award ID(s):
- 2024656
- PAR ID:
- 10521580
- Publisher / Repository:
- Associated Schools of Construction (ASC)
- Date Published:
- Page Range / eLocation ID:
- 93 to 83
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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