Artificial Intelligence for Children and Youth Learning and Creating in K-12 Education

1 Course Unit

In this seminar we will discuss how artificial intelligence (AI) and machine learning (ML) approaches have been adopted for children, youth, and families to learn and make creative applications in K-12 education. Drawing on work from the history of AI, computing education, the learning sciences, child-computer interaction, and ethical issues around digital technologies; we examine how children, youth, and their families can make sense of AI/ML and create various AI/ML-powered applications. As part of the seminar, students will also complete a series of ML tool explorations, with the final class project focused on designing a AI/ML tool, lesson or activity for in or out-of-school learning. The original version of this syllabus was developed and taught together in summer 2023 with Luis Morales-Navarro. Spring 1 Course Unit