AI Research Fellows present at annual symposium

The eCampus Center recently hosted the Online Education Research Symposium, an annual event showcasing the innovative work of the eCampus Center Research Fellows. The event highlights the work of the 2024-2025 AI Research Fellows. Boise State faculty explored and studied the opportunities and challenges of artificial intelligence in online teaching. The symposium featured seven presentations from the fellows, representing diverse disciplines and perspectives. Their work examined how AI impacted student learning, supported faculty and doctoral research, fostered ethical and community-centered use, and drove new forms of teaching and assessment. Attendees learned about cutting-edge AI research happening at Boise State, implications of AI for online teaching, and how faculty and students were adapting to AI in higher education.

Opportunities for the next round of research fellowships will open in spring 2026.

Symposium presentations

• Brian Stone presented, "How Boise State students perceive and utilize AI and what predicts their intention to use AI in their courses?" This quantitative study investigates how Boise State undergraduates perceive and use AI, what factors predict their intention to use it in coursework, and how these behaviors change over time.
• Yu-hui Ching and Yu-Chang Hsu presented "Pre-service Teachers' Perceptions of Using GenAI Tools as Critical Peers in Online Learning." This research explores pre-service teachers' perceptions of using generative AI tools as critical peers to improve critical thinking and self-improvement skills in an online course.
• Andy Hung and Brett Shelton presented "Fostering Doctoral Success: Multi-Agent System Feedback for Dissertation Proposals." This project aims to design and evaluate a multi-agent AI system to provide accurate, stable, and constructive feedback on doctoral students' dissertation proposals before they are submitted to their committee.
• Tiffany Hitesman and Ti Macklin presented "What has age got to do with it?: Nontraditional Student Perceptions and Use of AI." This mixed-methods study seeks to understand the overlooked perceptions and use of AI by nontraditional students in online writing courses.
• Steven Hyde presented "Martin-Gale (AI Case Generator & Grading Assistant)." This project develops and evaluates an AI case generator to create current and diverse case studies, as well as an AI grading assistant to streamline the assessment of writing assignments in online business courses.
• Karen Krier, Karen Nicholas and Yu-hui Ching presented, "Integrating AI in Accelerated Online Bachelor of Business Administration Courses: A Qualitative Content Analysis of the Poe AI Chatbot's Role." This qualitative content analysis examines the use and role of the Poe AI chatbot in four accelerated online Bachelor of Business Administration courses to address student isolation and provide real-time guidance.
• Margaret Sass presented "Community-Centric AI Project Development." The objective of this project is for students to create a community-focused project that utilizes ChatGPT and other AI tools to address specific needs and provide education to small communities.

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