Teaching and Learning with AI Conference

I am passionate about undergraduate biology education and research bioinformatic teaching tools and their implementation in the undergraduate classroom. My teaching style relies heavily on the CURE model (Course-Based Undergraduate Research Experience). In the classroom, my students work collaboratively to develop novel research projects and engage with the scientific process.

Current research: Investigating student perception of generative AI models as a learning tool

Studying student perceptions of ChatGPT and other AI models is essential to understanding how these tools influence learning, academic performance, and skill development. Understanding students' perspectives helps educators identify the most effective ways to incorporate these tools while addressing concerns such as over-reliance, ethical issues, and the potential for diminished critical thinking skills. Additionally, research on perception can highlight disparities in how different student groups access and use AI, guiding equitable integration across diverse educational settings. It can also inform the development of policies and training programs that maximize the benefits of AI while mitigating risks like misinformation and academic dishonesty. Ultimately, such studies ensure that these technologies are aligned with students' needs and the broader goals of education.