Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices

Computation, modeling, and simulation practices are commonplace in the STEM workplace, yet formal training embedded in disciplinary practices is not as standard in the undergraduate classroom. Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices: A Guide for Practitioners and Researchers gives instructors a handbook to ensure their curriculum bridges the gap between the classroom and workplace by equipping students with computational skills and preparing them for a rewarding career in STEM. Grounded in theory and supported by fifteen years of education research at the undergraduate level, this book provides instructional, pedagogical, and assessment guidance for integrating modeling and simulation practices into the undergraduate classroom.

Alejandra J. Magana is the W. C. Furnas Professor in Enterprise Excellence of Computer and Information Technology and professor of engineering education at Purdue University. Her research investigates how model-based cognition in STEM can be supported using expert tools and disciplinary practices such as data science computation, modeling, and simulation. In 2015, Magana received the National Science Foundation's Faculty Early Career Development (CAREER) Award for investigating modeling and simulation practices in undergraduate engineering education. In 2016, she was named a Purdue University Faculty Scholar for being on an accelerated path toward academic distinction. In 2022, she was inducted into the Purdue University Teaching Academy, recognizing her excellence in teaching.