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Faculty Presentations:
Curated AI Chatbots as Teaching Assistants: Revolutionizing the Student Learning Experience
Dr. Derin Ural, Professor in Practice, Department of Civil and Architectural Engineering
In this engaging presentation, we will explore the transformative potential of AI chatbots as Teaching Assistants (TAs) in higher education classrooms. Imagine a world where every student can receive personalized, instant feedback regardless of time or location, and where faculty can focus more on high-impact teaching strategies. This session will demonstrate how AI chatbots may enhance the learning experience, from answering frequently asked questions and providing targeted study resources to facilitating interactive discussions. Whether you’re curious about streamlining your teaching workload or enhancing student engagement, this presentation will provide insights into how AI chatbots can become a part of your teaching toolkit
Leveraging PhD Expertise: Enhancing Freshman Engineering Projects with PhD Student Mentors
Renee Evans, Senior Instructional Designer, College of Engineering & Learning Innovation and Faculty Engagement
This presentation will explore how integrating PhD students into freshman engineering projects for EGN 114 can have a positive impact on engineering education and cultivate innovation.
Empowering Students: Transforming a Classroom into a Dynamic Learning Hub
Dr. Chang-Y Wu, Professor and Chair, Department of Chemical and Environmental Engineering
This presentation will showcase a novel STEM course that tackles climate change education through an immersive, semester-long case study. Students become active participants by role-playing as concerned citizens, interacting with domain experts, and developing solutions through real-world problem-solving and a final "Shark Tank" style pitch.
The Evolution of an Engineering Mathematics Course: Integrating Student Feedback in Design and Implementation
Dr. Ines Basalo, Associate Professor of Professional Practice, department of mechanical & aerospace engineering
AI-Based Learning Platform to Enhance Student Engagement and Ease of Learning
Dr. Dibyendu Mukherjee, Associate Professor of Practice, Department of Chemical, Environmental and Materials
Dr. Francesco Travascio, Associate Professor, Department of Mechanical & Aerospace Engineering
This presentation will explore the integration of an AI-driven learning platform in two courses to enhance student engagement and critical thinking in a technology-driven world. It will share insights and data gathered from initial implementation, highlighting the platform's impact on student learning and pedagogical approaches.
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