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Florida Frontiers Radio Program #575
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Evaluation of Variable Selection Techniques on the Genetic Architecture of Flowering Time in Maize
Get PDFIn this project, we investigate several variable selection procedures to give an overview of how well they perform on a genomic dataset using three different penalized regression approaches. Comparisons between different methods were performed. These methods include Ridge, lasso, and Elastic Net. We utilized 4494 observations with 7389 SNPs gene scores to predict time to male flowering (dtoa). We assessed the performance of these three models in terms of mean square error. Not surprisingly, Lasso and Elastic Net perform better than Ridge Regression. Overall, Elastic Net performed better in predicting the time of male flowering (dtoa)
Instruction in Synthesis Writing can be Augmented by Giving Students a Generative AI Prompt
Get PDFThis entry describes an AI-augmented strategy to assist students in synthesis writing, specifically in a general education writing course. The approach uses an instructor-created generative AI prompt to give additional in-process feedback on drafts, helping students identify and address common synthesis challenges such as patchwriting and sequential reporting. Preliminary results suggest that students using the AI prompt demonstrated increased confidence and improved synthesis skills, as indicated by both their self-reports and better assignment performance compared to previous semesters
Welcome!
No full textWelcome to the third annual Teaching and Learning with AI conference. Attending this event underscores your knowledge regarding AI’s rapid ascent and impact of AI in Higher Ed. Your presence will shape the future of teaching and learning across college campuses. We have brought together a diverse group of experts and thought leaders who will share their insights, ideas, and experiences with using AI in their courses and beyond. While you may encounter research in some of the presentations, our focus is primarily on the sharing of practices. You may see a lot of tips and many examples of AI-related assignments people have tried in their own classes. We’ve kept the sessions short to pack even more presenters, and even more ideas, into our three-day event. We hope you leave this conference with transferable skills and practical tips that you can implement immediately into your courses or at your institution. And feel free to post to social media using #TeachWithAI throughout the conference. Thank you and have a great conference
The Future of Political Science: AI-Powered Learning
No full textThis interactive session explores how Artificial Intelligence (AI) is transforming political science education. Participants will delve into critical AI competencies, including data literacy, foundational AI knowledge, ethical considerations, and the ability to critically assess AI\u27s societal impacts. The session will also showcase AI-powered tools and practical strategies for integrating them in a way that aligns with course learning objectives, along with solutions to potential challenges. Attendees will leave with actionable insights to prepare students for the evolving political and technological landscap
Creating a Microcredential in Writing with AI: Locating Evergreen Skills and Navigating University Contexts
No full textThis presentation shares our experience developing a 3-course microcredential in AI and Writing, at Kansas State University. Our microcredential teaches evergreen AI literacy skills needed in personal, academic, and workplace writing, such as critical thinking, ethical awareness, the ability to create and shape effective prompts and output, and iteration. We discuss ways to navigate complex university dynamics around AI and share experiences, through our university outreach, with responding to faculty concerns around pressure points. With attendees, we\u27ll brainstorm additional evergreen AI literacy skills and discuss the creation of curricula that balance technical proficiency with enduring competencies
Improving Learning Outcomes in Mathematics Education through Directed Use of a Generative AI Socratic Tutor
No full textTo improve the learning outcomes among community college math students, Hudson Valley Community College (HVCC) performed a preliminary study to explore the effectiveness of generative AI tools as aids to learning mathematics. Two sections (control and experimental) were selected from two math courses to undertake this study: Precalculus and Intermediate Algebra. The study employed Khanmigo, an AI Large Language Model (LLM) developed by Khan Academy in collaboration with OpenAI\u27 s ChatGPT. HVCC was one of the first community colleges to deploy this tool in the classroom. Khanmigo can engage as a Socratic tutor for math students instead of just providing a final result. In the Socratic tutor approach, students ask plain language questions about a math problem, enter a learning conversation with the AI, and are guided toward the solution through a step-by-step iterative process rather than being handed the answer
Combating Vulnerability with Pragmatism: AI guidance for non-technical educators
No full textAI is an increasingly important technology for higher education. Yet, few educators have computer science backgrounds leading to acute feelings of vulnerability when determining appropriate AI use for assignments and activities. This session proposes a new, practical pedagogical framework for educators who feel uncomfortable in these situations: AI Pragmatism
Dynamic Roleplay Simulation for Validating Durable Skills
No full textRoleplay simulation is a proven method for providing learners opportunities to practice and demonstrate skills. The addition of AI turns these into Dynamic Roleplay Simulations, which allow learners to interact and demonstrate their skills more authentically. This session will show an example of this applied to durable skills assessment. Learners speak with their virtual colleagues, analyze information, and decide what to do in challenges that require them to apply their durable skills. We will also show how this method applies to other skill areas. Bonus: this experience was also created by AI
Utilizing AI to Enhance Research Intensive Laboratory Classes
No full textMultiple educators are examining and sharing ideas of how to incorporate recently developed AI chatbot tools into lecture and writing based classes. Our goal here is to explore how these AI chatbot tools can assist in teaching and learning outcomes in higher education laboratory classes in a STEM field. We are utilizing AI chatbot tools to help engage with students that are incorporating their own research projects in a STEM laboratory class. We are testing various approaches and will share the impact of these approaches in an upper-level experimental laboratory class at the University of Central Florida