James Teresco
Siena University, NY·Education Research
Computer science changes quickly, with new developments such as generative AI and quantum computing, along with shifting employer needs and student interests. College CS programs therefore need regular revision.
- Fields
Education Research
Computer Science
- Topics
computer science education
CS curriculum
curriculum design
- Grants
- 1 known grant, through Sep 2028
What they work on
- Deploy and refine a facilitated backward design process in which a department's mission and goals guide later choices about outcomes, course structure and core and elective CS content.
- Compare single-department and multi-department cohort working groups as ways to guide liberal arts CS departments through curriculum review.
- Evaluate the process through analysis of revised curricula and documentation, surveys and focus groups, measuring curriculum innovation, faculty engagement and confidence, and long-term capacity for revision.
More about the research
About a third of CS majors graduate from liberal arts and primarily undergraduate institutions. These schools often emphasize computing literacy for all students and let students join the major as late as sophomore or junior year. This project asks how such departments can revise their curricula well, matching international guidelines while staying true to their own mission.
Why it matters
A tested curriculum review process could help liberal arts computer science departments update their majors efficiently as the field changes. Their programs could then keep pace with advances such as generative AI and with employer needs while reflecting each school's mission. Students, including those who discover computing after starting college, could graduate better prepared for the computing workforce.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Shannon Beasley
Middle Georgia State University, GA·Education Research
Build partnerships with industry experts and government agencies to identify the skills and knowledge needed for STEM jobs across four diverse institutions in the SUPER Partnerships Collaborative.
Fred Martin
University of Texas at San Antonio, TX·Education Research
Document current understandings, policies and practices for using and teaching AI literacy in partner middle school districts in Texas and New York, working with teachers and technology coaches.
Bradley Andersh
Bradley University, IL·Education Research
Strengthen Bradley University's Office of Sponsored Programs through targeted investments in staff and training in grant administration.
The school
Siena University: 1 labs on PI Pages.
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