- Browse
Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
- Information Menu
Search Tips
- Navigation and Settings Menu
Change Preferences / Time Zone
Sign In
- Social Media Menu
Facebook
Bluesky
Threads
X (Twitter)
LinkedIn
Instagram
YouTube
AI-Enhanced Problem Solving and Instructional Design Frameworks
Fri, April 10, 11:45am to 1:15pm PDT (11:45am to 1:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This session invites dialogue on AI integration across diverse educational contexts and purposes. Papers examine a human-AI framework for inclusive faculty development in non-English environments, a descriptive model of AI-assisted information problem-solving revealing challenges in prompting and verification, motivational profiles of student engagement with AI writing assistants, factors predicting college students' AI adoption including ethical concerns and career beliefs, and generative AI's efficacy in creating mathematical diagrams for word problems. How do we support effective human-AI collaboration across contexts? What tensions emerge between AI reliance and critical engagement? Join conversations about culturally responsive design and evidence-based AI integration.
Sub Unit
Chair
Papers
A Descriptive Model of AI-Assisted Information Problem-Solving (AI-IPS): Core Competencies, Opportunities, and Challenges in Higher Education - Xinyan Zhou, The Chinese University of Hong Kong; SHUHENG SHI, Chinese University of Hong Kong; Thomas K.F. Chiu, The Chinese University of Hong Kong
Beneath Student-AI Use: Motivational Profiles Of Student Engagement With Generative AI - Muhammad Amir Fusenig, University of Maryland; Patricia A. Alexander, University of Maryland
Designing with CARE: A Human-AI Framework for Inclusive Faculty Development in Non-English Contexts - Aigerim Shilibekova, Simon Fraser University
Factors Predicting College Student AI Use for Academic Tasks - Moon-Heum Cho, Syracuse University; EunHae Grace Park, Ball State University; Seongmi Lim, Ball State University; Hyeonho Henry Yu, Ball State University
The Efficacy of Using Generative AI to Render Illustrative Diagrams to Accompany Mathematics Word Problems - Candace A. Walkington, Southern Methodist University; Theodora Beauchamp, Southern Methodist University; Jiabao Wen, Southern Methodist University; Jonathan Isaac, Southern Methodist University; Robert DiBiano, Ailectric