29 - Teaching Research Skills in the Classroom using Bioinformatic Investigation and 3D Printed Protein Models - 2024 LEC Teaching and Learning Conference
From Adam Cohen
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From Adam Cohen
Presenter:
Arthur Sikora and Emily S. Lavin, Halmos College of Arts and Sciences
Here we present an instructional model for undergraduate students to gain experience in protein modeling by developing a molecular story using interdisciplinary skills at the intersection of communication, art and science. This interdisciplinary co-taught course teaches students how to use various protein-focused bioinformatic tools to develop a story and 3D model. Peer mentors who previously participated in a protein modeling project are available to assist students. Primary literature, course materials, and protein modeling tools are used to teach students to understand molecular mechanisms while also learning the scientific process. All finished projects including printed protein models and research posters are frequently presented models at local and international scientific conferences. To better understand student learning gained as part of this experience, a modified Research on the Integrated Science Curriculum (RISC) Survey was administered post semester.
This interactive panel will explore this teaching and learning model with participants allowing time for them to work on a protein story that they find interesting. They will leave with the resources to implement this type of research-based curriculum within their own classroom. Students who have previously participated in this Honors college course will lead attendees through their molecular stories from idea generation to model printing culminating in presentations at international conferences. Participants will have the opportunity to follow along on their own devices and peruse the extensive examples of student projects published on NSU works. Participants will leave the workshop with concrete examples and resources to implement this type of course model.
Learning Outcomes:
Participants will: