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Potential for AI Usage as a Learning Agent to Support Classroom Instruction
Dr. Michael Oldham, Assistant Professor
The session will explore the potential for AI usage as a learning agent to support classroom instruction. Attendees will discuss current methods of learning agent interaction, utilization constraints, expansion of utilization, data collection from interaction, and student learning outcome evaluations. This session will consider both current models and future models for implementation.
It’s Not Magic: AI and Accessibility Tools
Zephyr Rankin, Marketing and Communications Librarian
We all want to make our learning materials more accessible, and an increasing number of artificial intelligence tools are being released to help with that. However, beware of overpromises, and don’t forget the importance of having the work checked by a human. Learn about the AI accessibility tools available, what they can do for you, and what they can’t do at all.
AI Assistance and Ethical Concerns in Application Essays and Letters of Recommendation for College Admissions
Dr. Shelby Miller, Assistant Professor
This session focuses on the growing concern among colleges regarding the use of AI by high school students and faculty to generate admissions materials, such as essays and letters of recommendation. As more students and educators turn to AI, colleges are uncertain whether they are receiving authentic materials. Based on a study of college perspectives, this session will explore these challenges and provide insights into how AI is impacting the college admissions process. Participants will also learn best practices for using AI appropriately, ensuring that applications maintain authenticity, integrity, and alignment with admissions standards.
AI Detection Tools: Caution Warranted.
A. P. Anderson, Research and Instruction Librarian
As AI text generation tools like ChatGPT have progressed, AI detection tools have struggled to keep pace. This workshop provides a look at the current state of commonly-used AI detection tools, discusses some of the pitfalls of AI detection in the classroom, and suggests alternative strategies for instructors that do not rely on the use of AI detection tools.
How AI Models Language and What You Should and Shouldn’t Expect
Dr. Christian Hempelmann, Interim Department Head, Associate Professor, and Director of Semantic Artificial Intelligence and Creative Laboratory
This session will cover the development and state of the art of the core models in Artificial Intelligence with a focus on human language interaction. Based on this foundation you will understand their fundamental strengths and weaknesses. The intention is to provide you with an introduction to the basic inner workings so you become an informed professional who can evaluate AI application for tasks in your language classroom, independent of hype or doomsaying.
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The College of Humanities, Social Sciences, and Arts at East Texas A&M University has been approved as a Continuing Professional Education (CPE) Provider in Texas. The continuing professional education provider number (CPE#) for College of Humanities, Social Sciences, and Arts at East Texas A&M University is # 116-501.
No problem! Some states don't require us to file as a credit provider (e.g., Oklahoma), in which case, the hours you earn from this event can be submitted as professional development hours/credits/points in your own state (following any additional state requirements you might have; e.g., school administrator approval).
If your state, like Texas, does require providers to formally apply for CPE provider status, let us know! We're open to applying for provider status in other states.
Questions? Please contact aipdd@tamuc.edu