Home Page

Who We Are

The Center for Advancing Scholarship to Transform Learning is a network of faculty, projects and programs engaged in scholarship surrounding STEM education.

Led by director Dina Newman, CASTLE is comprised of STEM faculty, research associates, instructional service professionals, and communication experts. Together they form a network of skilled individuals committed to the Center’s mission of advancing STEM teaching, learning and evaluation. Members work together on research and programs engaged in scholarship of pedagogy, facilitating dialog, encouraging collaborative opportunities in evidence-based practices, conducting discipline-based education research and establishing methods of assessment and evaluation.

News

Bulletin Board

A beginner’s guide to using coding to enhance (bio)chemical education

This full-day workshop will be offered at the Biennial Conference on Chemical Education in Madison, Wisconsin. Participants will learn basic Python syntax, Google Colab (with Gemini AI assist), and GitHub. The goal is to leave the workshop with a classroom exercise ready to go!

CASTLE members attend Upstate NY DBER Conference

Several faculty and students participated in the first Upstate NY DBER Conference at Cornell University.

CASTLE researchers publish on how faculty build empathetic relationships

Alia Hamdan, Ash Bista, Dina Newman and Scott Franklin published “How and why physics faculty share their identities with students: Four personas” in Physical Review - Physics Education Research (2026). The second in their 3-part “Empathy Trilogy,” the paper explores how faculty share aspects of their identity in order to build empathetic relationships so as to better support students.

CodeBMB: Computational Literacy for Biochemistry and Molecular Biology Education

This introductory six-hour workshop will introduce faculty members with all levels of coding skill to the use of coding in their classroom. The focus will be on pedagogy, needs of the community and some basics of Python syntax, with examples of data analysis and plotting. This is the first of three workshops and will be followed by workshops on "learning to code" and "teaching with code."