| About this Abstract |
| Meeting |
MS&T23: Materials Science & Technology
|
| Symposium
|
Curricular Innovations and Continuous Improvement of Academic Programs (and Satisfying ABET along the Way): The Elizabeth Judson Memorial Symposium
|
| Presentation Title |
Using Jupyter Tools to Design Accessible, Scalable, and Interactive Learning Experiences in Materials Science and Engineering |
| Author(s) |
Enze Chen, Mark Asta, Andrew M. Minor |
| On-Site Speaker (Planned) |
Enze Chen |
| Abstract Scope |
The growth of computing and data science in materials research has created many exciting opportunities to integrate these techniques into materials science and engineering (MSE) curricula. In particular, user-friendly tools developed by Project Jupyter can give students new ways to engage with course content and deepen comprehension, while supporting the development of computational, analytical, and communication skills that are critical in the professional sphere. We first share our experience using the Jupyter ecosystem to design an open-source materials informatics curriculum on data-driven design of dielectric materials, which provides a framework for course-based undergraduate research experiences. Even students who are relatively inexperienced with programming and materials science are able to successfully complete the group-based exercises and self-directed research projects. We will discuss further integration of these tools into units on computational thermodynamics and materials characterization to demonstrate their broad impact on diverse student populations in MSE. |