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Redesigning First-Year Courses for AI: Thinking Developmentally
No full textTeachers of first-year courses like writing and programming face significant challenges adapting to generative AI. In this session, we\u27ll share strategies for redesigning early-stage courses to move beyond policing by taking a developmental approach to AI use. Using examples from first-year writing and computer science courses, we\u27ll discuss how to balance developing core disciplinary skills while also teaching new students how to use AI collaboratively. Through example assignments, we\u27ll explore how this developmental approach helps students build judgment about when and how to use AI effectively, without sacrificing their own agency or creativity
Teaching How AI Works: Transform Your Classroom into a Live, Large Language Model
No full textExperience the magic of turning your classroom into a live, interactive large language model! In this session, participants will step into the roles of AI components to demystify how artificial intelligence generates responses. Through engaging demonstrations and collaborative activities, you\u27 ll learn how AI processes language, predicts outputs, and responds to prompts. This interactive approach transforms abstract AI concepts into a fun, tangible, and educational experience
Harnessing Large Language Models for Automated Essay Scoring in Public Health
No full textAutomated Essay Scoring (AES) using Large Language Models (LLMs) has emerged as a promising solution for assessing student writing, offering faster grading, unbiased evaluation, and detailed feedback. This study investigates the performance of two commonly used LLM-based tools - ChatGPT, Copilot, in scoring essays from a Public Health Introduction course. It evaluates the alignment of these tools with human rater judgments and examines the impact of prompt engineering on scoring accuracy. Quadratic Weighted Kappa (QWK) scores were used to measure agreement between the models and the manual grader, while deviations were analyzed to identify discrepancies for each criterion. Results indicate that ChatGPT demonstrates higher alignment with manual grading (QWK = 0.5342) compared to Copilot (QWK = 0.2186), with Copilot exhibiting greater score variability and deviations across criteria. Despite its better performance, ChatGPT underestimates scores in specific areas such as recommendations, highlighting areas for improvement. This study underscores the potential of LLMs for AES while identifying critical areas for optimization, paving the way for their effective integration into educational assessment frameworks
Teaching MySQL with Generative AI: Enhancing Query Practice and Interpretation
No full textThis session will explore how generative AI tools can enhance MySQL instruction by supporting practice question generation, query translation, and interactive statement refinement. Attendees will discover strategies for leveraging AI to create engaging practice activities with prompting for incorrect answers, translate SQL statements into plain English, and collaborate with AI to improve querybuilding skills. Participants will discuss best practices for integrating these tools into database courses and explore their implications for student learning. Takeaways include example prompts and strategies for ensuring AI-generating content aligns with pedagogical goals
Teaching and Assessing AI-enhanced Courses: An Institutional Initiative
Full text linkThe OHIO Center for Teaching, Learning, and Assessment supports faculty redesigning courses with AI enhancements through a GenAI in Teaching and Learning Design Institute. Participants infuse GenAI into their courses following one of three pathways or a combination of these pathways: 1) AI as instructional strategy; 2) AI to personalize learning; and 3) AI as course content from a disciplinary lens. Redesign results in a robust instructional redesign portfolio upon implementation and assessment. Session participants are invited to envision their own use cases as the three models are presented by institute faculty in person and through multimedia
Lessons Learned from Real-World AI PhD Projects
Full text linkThis session shares an innovative assignment where graduate students used artificial intelligence to generate responses for integrative medicine inquiries, then critiqued the outputs for accuracy, coherence, and source reliability. Designed for an online learning environment, the task combined asynchronous written submissions with synchronous group discussions to promote critical thinking and collaborative reflection
The AI Teaching Network: Byte Sized AI for Instructors
Full text linkFaculty are short on time and high on responsibilities, so finding time for AI professional development is a major challenge. The Teaching Academy at the University of Alabama developed the AI Teaching Network to provide faculty with bite-sized, asynchronous content they can use to find practical applications for generative AI in teaching. This session will cover the creation of the AITN including idea generation, video production, and marketing with an emphasis on building reliable templates for faculty to use in sharing their AI expertise
Unmasking the Glass Onion: Critical approaches to the Academic AI gaze, and the future of critical student learning
Full text linkUnmasking the Glass Onion: Critical approaches to the Academic AI gaze, and the future of critical student learnin
AI-Powered Curriculum Mapping: Streamlining Assessment Alignment from Assignments to Accreditation
No full textDiscover how AI tools can transform the complex process of curriculum mapping from individual assignments to program-level accreditation requirements. This session demonstrates how ChatGPT and Claude.ai can analyze assignment-to-outcome alignment, identify assessment gaps, and generate comprehensive documentation for accreditation reporting. Learn practical strategies for using AI to create clear throughlines from classroom activities to institutional outcomes, while ensuring robust assessment practices that satisfy accrediting bodies
UCF Libraries 2025 Faculty Research Showcase
Full text linkThe University of Central Florida (UCF) Libraries’ Faculty Research Showcase is a longstanding tradition that celebrates the scholarly achievements, research, and creative work of library faculty.
The 2025 Showcase features eight engaging presentations covering a diverse range of topics:
• Jasmine George – Student Engagement Initiatives Around Florida Academic Libraries
• Jasmine George & Patrick Green – Student Wellbeing at the Library
• Joe Bizon, Kristine Shrauger, Ying Zhang & Renee Cole Montgomery – Roadmapping Leganto Successfully
• Rachel Trnka – Florida Library History
• Mary Rubin – Escape the Ordinary: Escape Rooms as Active Learning Magic
• Min Tong – Customize GPT for Business Information Research
• Arielle Petrovich – University Archives in Reunion Programming
• Sai Deng & Jeanne Piascik – Metadata Evolution: Adapting with Linked Data, BIBFRAME, and AI
This year’s theme is Journey Back to UCF’s Early Days: Continuing to Chart the Constellations of Discovery . Interactive Mentimeter quizzes on UCF history provided a unifying and engaging element for all presentations