AI & Student Project Development

Eligibility

• Faculty and staff involved in teaching courses with project components or supervising
  MS/PhD student research.
• MS and PhD students who are required to develop a thesis or dissertation as part of their
  degree program.
• Participation is limited to 12 individuals, selected by the facilitator.

Amount

Each participant will receive $750 in professional development funds.

Submission

No longer accepting applications.

Deadline

April 23, 2025

Purpose and Description

The participants of this FLC will explore the evolving role of AI in student writing, particularly
in project-based work. As AI-powered tools become more prevalent in higher education, faculty
face challenges in distinguishing student-authored work, maintaining academic integrity, and
ensuring AI enhances rather than diminishes learning. This FLC provides a structured space for
faculty across disciplines to examine AI’s impact, discuss ethical considerations, and develop
best practices for integrating AI into teaching and assessment. Through research and discussion,
participants will contribute to evidence-based strategies that uphold academic integrity while
leveraging AI to support student learning.

Activities

Members will:

• Explore commonly used AI tools (e.g., ChatGPT, Grammarly) and their implications for
  academic writing.
• Analyze review academic literature and Miami University’s policies on AI in
  coursework. A guest speaker will provide expert insights on AI’s role in education and
  ethical considerations.
• Experiment with AI tools, analyze real or simulated student writing samples, and discuss
  originality and academic integrity.
• Establish responsible AI use guidelines, explore alternative assessment methods (e.g.,
  oral defenses, process-based grading), and refine grading rubrics to account for AI-
  assisted writing.
• Design AI-integrated lesson plans, examine student perceptions of AI in writing, and
  collaborate on drafting departmental or university-wide recommendations for AI use in
  coursework.

Members

2025-2026

• Achut Adhikari, Statistics
• Mahsa Ashouri, Statistics
• Richel Attafuah, Statistics
• Mithun Bhowmick, Mathematical and Physical Sciences
• Yeliz Cavus, Global and Intercultural Studies
• Po-Chang Chen, Accountancy
• Wei Chen, Information Systems & Analytics
• Saruna Ghimire, Sociology & Gerontology
• Md Nadim Mahmud, Computer Science and Software Engineering
• Heather Menne, Sociology & Gerontology
• Tatjana Miljkovic, Statistics, Co-Facilitator
• Sagar Pangeni, Statistics
• Haifei Shi, Biology