Integrating AI and ML Education in Small Liberal Arts Institutions: Curriculum and Pedagogical Considerations

Abstract

The proliferation of artificial intelligence (AI) and machine learning (ML) in modern institutions has necessitated integrating these technologies into academic curricula. This transition challenges small liberal arts institutions, which offer unique educational opportunities but face distinct hurdles in adapting their programs to meet the growing demand for AI and ML expertise. This article highlights the importance of providing computer science graduates from these institutions with a solid foundation in AI and ML systems. The recommended curriculum includes problem-solving techniques, algorithm design, data preprocessing, model training, and ethical considerations in AI and ML. The pedagogy emphasizes practical assignments, projects, and collaborative learning to foster critical thinking and creative problem-solving skills. Moreover, integrating AI and ML concepts across disciplines enables students to explore these technologies' broader implications and ethical dimensions.Small liberal arts institutions can leverage their unique educational environments to promote interdisciplinary collaborations and provide students with a well-rounded understanding of AI and ML applications. In conclusion, adapting small liberal arts institutions to incorporate AI and ML education is vital for preparing computer science graduates to meet the evolving demands of the modern workforce. By embracing these advancements and tailoring their programs accordingly, these institutions can equip their students with the necessary skills and knowledge to thrive in an AI-driven world.