From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy

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Abstract

Advances in artificial intelligence present a need for fostering AI literacy in workplaces. While there is a lack of research on how this can be achieved, there are documented successful approaches in child-computer interaction (CCI), albeit aimed at K-12 education. We present an in-vivo explorative case study of how CCI approaches can be adopted for adult professionals via a full-day workshop developed in collaboration with a trade union to upskill workers. Analyzing data from pre- and post-surveys, a follow-up survey, and materials produced by participants (n=53), we demonstrate how this increased participants' knowledge of AI while their self-efficacy and empowerment did not improve. This is similar to findings from K-12 education, pointing to self-efficacy and empowerment as major challenges for AI literacy across sectors. We discuss the role of ambassadorships and professional organizations in addressing these issues, and indicate research directions for the CHI community.

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APA

Kaspersen, M. H., Musaeus, L. H., Bilstrup, K. E. K., Petersen, M. G., Iversen, O. S., Dindler, C., & Dalsgaard, P. (2024). From Primary Education to Premium Workforce: Drawing on K-12 Approaches for Developing AI Literacy. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3613904.3642607

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