Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices: A Guide for Practitioners and Researchers

Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices equips instructors with a handbook to bridge the gap between the classroom and workplace by integrating computational skills and preparing students for a rewarding career in STEM.

Format: Paperback / softback
Length: 158 pages
Publication date: 15 February 2024
Publisher: Purdue University Press

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

Computation, modeling, and simulation (CMS) practices have become increasingly prevalent in the STEM (science, technology, engineering, and mathematics) workplace, offering valuable tools for problem-solving and decision-making. However, formal training in CMS embedded within disciplinary practices is not as standard in undergraduate classrooms. This gap can hinder students' ability to apply these skills effectively in their future careers.

To address this issue, Teaching and Learning in STEM: With Computation, Modeling, and Simulation Practices: A Guide for Practitioners and Researchers provides a comprehensive handbook for instructors. This book offers instructional, pedagogical, and assessment guidance for integrating CMS practices into the undergraduate classroom. Grounded in theory and supported by fifteen years of education research at the undergraduate level, the book aims to equip students with computational skills and prepare them for a rewarding career in STEM.

The book begins by exploring the theoretical foundations of CMS, including mathematical modeling, computer simulation, and data analysis. It then provides practical examples and case studies to illustrate how CMS can be applied in various STEM disciplines. Instructors can use these examples to develop assignments, activities, and projects that engage students and promote active learning.

Furthermore, the book offers guidance on integrating CMS into the undergraduate curriculum, including strategies for assessment and evaluation. It discusses the importance of incorporating real-world data and scenarios into CMS projects to enhance students' understanding of the practical applications of these skills. The book also provides tips and techniques for effective teaching and learning in CMS, such as using interactive technologies, peer-to-peer learning, and project-based learning.

By incorporating CMS practices into the undergraduate classroom, instructors can help students develop critical thinking, problem-solving, and communication skills that are essential for success in the STEM workplace. Moreover, CMS projects can provide students with hands-on experience and opportunities to apply their knowledge in real-world situations, enhancing their employability and competitiveness.

In conclusion, Teaching and Learning in STEM: With Computation, Modeling, and Simulation Practices: A Guide for Practitioners and Researchers is a valuable resource for instructors seeking to integrate CMS practices into their undergraduate curriculum. By equipping students with computational skills and preparing them for a rewarding career in STEM, this book helps bridge the gap between the classroom and workplace and ensures that students are well-prepared for the challenges of the 21st-century workforce.

Weight: 424g
Dimension: 214 x 279 x 13 (mm)
ISBN-13: 9781612499260