An official website of the United States government
This column explores the practical considerations and institutional strategies for adopting Generative Artificial Intelligence (GenAI) tools in academic libraries. As higher education institutions increasingly integrate AI into teaching, research, and student support, libraries play a pivotal role in guiding ethical, inclusive, and pedagogically sound implementation. Drawing on case studies from Clemson University, Wake Forest University, and Goldey-Beacom College, the column examines key areas of GenAI integration: contract negotiations, licensing models, trial and pilot program design, data privacy, accessibility, authentication, analytics, training, and ethical use. The article emphasizes the importance of aligning AI adoption with institutional missions, user agency, and evolving frameworks of AI literacy. Recommendations are provided for libraries of all sizes to navigate the dynamic GenAI landscape responsibly and equitably, ensuring that academic integrity and student-centered values remain at the core of AI integration.
more »
« less
Critical AI Literacy through Exploring Generative AI Limitations
Critical AI literacy enables understanding of the limitations of AI. In this work, we investigated how Black girls (N=11, ages 9-12) critically engaged with generative AI (genAI) through exploring ChatGPT’s limitations. Learners used various approaches and leveraged their funds of knowledge (e.g., knowledge of pop culture) to investigate where genAI did not perform satisfactorily. We discuss how taking an asset-based approach can support critical AI literacy.
more »
« less
- Award ID(s):
- 2415872
- PAR ID:
- 10618171
- Publisher / Repository:
- Proceedings of the 19th International Conference of the Learning Sciences
- Date Published:
- Format(s):
- Medium: X
- Location:
- Helsinki, Finland
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Generative Artificial Intelligence (GenAI) is shifting the types and uses of computing tools in classrooms, necessitating study of how and what decisions are made about the use of AI in courses. All teachers will need to understand and be able to make important choices about GenAI for their learners. In this project, 25 teacher educators took an AI professional development course, and this paper describes their reflections and final projects. Participants at two large southeastern universities represented teacher preparation programs across all grade bands and disciplines. The shared practices the teacher educators used revealed ways GenAI can be a tool to support, not replace, a teacher. Limitations of GenAI applications are also discussed. The inclusion of all teacher educators in the project, and not just “faculty”, enabled more participation, along with the flexible timing of the online course, and personalization of the final project.more » « less
-
Fostering young learners’ literacy surrounding AI technologies is becoming increasingly important as AI is becoming integrated in many aspects of our lives and is having far-reaching impacts on society. We have developed Knowledge Net and Creature Features, two activity boxes for family groups to engage with in their homes that communicate AI literacy competencies such as understanding knowledge representations, the steps of machine learning, and AI ethics. Our current work is exploring how to transform these activity boxes into museum exhibits for middle-school age learners, focusing on three key considerations: centering learner interests, generating personally meaningful outputs, and incorporating embodiment and collaboration on a larger scale. Our demonstration will feature the existing Knowledge Net and Creature Features activity boxes alongside early-stage prototypes adapting these activities into larger-scale museum exhibits. This paper contributes an exploration into how to design AI literacy learning interventions for varied informal learning contexts.more » « less
-
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.more » « less
-
Social anxiety (SA) has become increasingly prevalent. Traditional coping strategies often face accessibility challenges. Generative AI (GenAI), known for their knowledgeable and conversational capabilities, are emerging as alternative tools for mental well-being. With the increased integration of GenAI, it is important to examine individuals’ attitudes and trust in GenAI chatbots’ support for SA. Through a mixed-method approach that involved surveys (n = 159) and interviews (n = 17), we found that individuals with severe symptoms tended to trust and embrace GenAI chatbots more readily, valuing their non-judgmental support and perceived emotional comprehension. However, those with milder symptoms prioritized technical reliability. We identified factors influencing trust, such as GenAI chatbots’ ability to generate empathetic responses and its context-sensitive limitations, which were particularly important among individuals with SA. We also discuss the design implications and use of GenAI chatbots in fostering cognitive and emotional trust, with practical and design considerations.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript
- Conference Paper:
- The DOI is not currently available.
