The Impact of AI Ethics Education on Student Engagement and Ethical Perspectives
Diana Medina
Co-Presenters: Individual Presentation
College: Hennings College of Science Mathematics and Technology
Major: BS.COMPSCI/CYBERS
Faculty Research Mentor: Morreale, Patricia
Abstract:
Artificial Intelligence (AI) has become a cornerstone of technological innovation. The world has come to see the many advancements AI has to offer and the impact it has on everyday life. The benefits of AI are promising, and institutions are learning how to implement AI to further advance productivity and efficiency. However, AI-based products may produce harmful or unjust consequences, especially when ethical considerations are not deliberated during the developmental stages. This study investigates student engagement and examines the impact in infusing ethical reasoning in AI education.With five participating computer science professors and two historians, ethics modules were introduced within academic computer science courses to evaluate students' perspectives, decision-making, and awareness of responsible AI development. This study uses a qualitative research design to analyze student response and reasoning after being exposed to AI ethics instructional modules. Data collected throughout the study were through student and faculty focus groups and faculty workshop participation. Through these methods, their engagement was analyzed to identify themes related to ethical literacy and student perceptions.The results indicate that integrating AI ethics modules increased student engagement, ethical recognition, and professional reflection. Students participated in discussions, reported strong completion of assignments, and shared thoughtful AI awareness. The participants developed a deeper understanding of fairness and how to approach bias in AI systems. Students began connecting ethical reasonings to real-world scenarios and software development.These findings suggest that students demonstrate greater mindfulness when using or designing AI technology. This research serves as an opportunity for other institutions to model for ethics instruction. There is meaningful connection and influence that allows for students to show preparedness for their own computing practice.Keywords: Artificial Intelligence, AI Ethics, Computer Science Education, Ethical Reasoning, Student Engagement, Responsible AI