Empowering Small Liberal Arts Institutions: Designing an In-Depth Curriculum for Integrating AI and ML Education With Pedagogical Considerations

 Paper Title:

Empowering Small Liberal Arts Institutions: Designing an In-Depth Curriculum for Integrating AI and ML Education With Pedagogical Considerations

Authors:

Sayani Sarkar and Nathan Johnson, Bellarmine University, USA

Abstract:

The integration of artificial intelligence (AI) and machine learning (ML) into academic curricula has become increasingly important in contemporary institutions. However, small liberal arts institutions face unique challenges in adapting their programs to meet the growing demand for AI and ML expertise. This article explores the significance of providing computer science graduates from these institutions with a comprehensive understanding of AI and ML systems. The proposed curriculum encompasses problem solving techniques, algorithm design, data preprocessing, model training, and ethical considerations specific to AI and ML.  Pedagogically, an emphasis is placed on practical assignments, projects, and collaborative learning to foster critical thinking and creative problem-solving skills among students. Furthermore, integrating AI and ML concepts across disciplines enables students to explore these technologies' broader implications and ethical dimensions. Small liberal arts institutions can capitalize on their distinctive educational environments to promote interdisciplinary collaborations and provide students with a holistic understanding of AI and ML applications. In conclusion, adapting small liberal arts institutions to incorporate AI and ML education is crucial 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 empower their students with the essential skills and knowledge to thrive in an AI-driven world. The article also discusses the advantages, limitations, and potential future steps in integrating AI and ML education into small liberal arts institutions.

Keywords:

Artificial Intelligence, Machine Learning, Small Liberal Arts Institutions, Curriculum Development, Pedagogy, Computer Science Education, Interdisciplinary collaboration

Volume URL: https://airccse.org/journal/ijite/vol12.html

Abstract URL: https://aircconline.com/abstract/ijite/v12n3/12323ijite01.html

Pdf URL: https://aircconline.com/ijite/V12N3/12323ijite01.pdf

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