Teaching Excellence

We spoke to Dr. Jacquelyn Kelly about how her university applies a theoretical framework to teaching math, and approaches academic rigor – insights you can put to work at your institution, too.

Finding effective ways to teach complex statistical concepts is crucial for student success. Simulation-Based Inference (SBI) is an approach I’ve incorporated into my courses to meet this challenge. You should put it to work in your classroom, too.

zyBooks is at the forefront of developing – and implementing – innovations to help students with visual impairments succeed in STEM. Innovations all educators should adopt. To learn more, we spoke with three engineering and science content experts who are leading the accessibility charge at zyBooks.

“What I’ve found is that the math proficiency of my students varies significantly, from those who barely passed their prerequisites to those who really excelled in them. My challenge as an instructor is that the course I’m teaching is not a math course.”

A question we hear from instructors is, how do you choose the right language for your data science courses?

It might not be the first skill set that comes to mind in STEM education, but reading comprehension is critical for student success in everything from math to coding to engineering. 

With project-based learning, students actively solve challenges drawn from the professional world, helping them connect the dots between their studies and actual applications.