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Publication Date

2025-5

First Advisor

R. Jordan Crouser

Document Type

Honors Project

Degree Name

Bachelor of Arts

Department

Computer Science

Keywords

Human-AI interaction, generative AI in education, AI and academic integrity, higher education policy

Abstract

The rise of generative AI tools has rapidly transformed educational landscapes, offering both opportunities and challenges for learners, educators, and institutions. Misalignments between student and faculty perspectives of proper AI integration raise concerns about students’ learning experience and integrity, while potential policy changes on AI are challenging as few traditional academic integrity policies anticipated the disruptive capacity of generative AI. Through a student survey and interviews with faculty, we identify gaps between stakeholder expectations, use practices, and concerns about AI’s impact on learning and assessment. We further examine how syllabi and the honor code together shape students’ AI practices and propose recommendations on actions and policy adjustments to support ethical, inclusive, and context-aware AI integration, aiming to contribute to the ongoing institutional research navigating AI adoption at Smith.

Rights

©2025 Yuhan Wang. Access limited to the Smith College community and other researchers while on campus. Smith College community members also may access from off-campus using a Smith College log-in. Other off-campus researchers may request a copy through Interlibrary Loan for personal use.

Language

English

Comments

[5], 48, [17] pages: color illustrations, charts. Includes bibliographical references (pages [49-50]).

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