The Virtual Design Workshop - An Online Adaptive Resource for Teaching Design in Engineering. - Alexandra Vassar; B. Gangadhara Prusty; Nadine Marcus; Robin Ford (CSEDU (1), 2014)

Foundations First: Improving C's Viability in Introductory Programming Courses with the Debugging C Compiler. - Andrew Taylor; Jake Renzella; Alexandra Vassar (SIGCSE (1), 2023)

Integrating Large Language Models into the Debugging C Compiler for generating contextual error explanations. - Andrew Taylor; Alexandra Vassar; Jake Renzella; Hammond Pearce (CoRR, 2023)

Exploring the Cognitive Load Effects of Diverse Virtual Reality Interaction Methods in Interactive Educational Platforms. - Ali Darejeh; Manpreet Mondal; Nadine Marcus; Alexandra Vassar (ISMAR-Adjunct, 2024)

Fine-Tuning Large Language Models for Better Programming Error Explanations. - Alexandra Vassar; Jake Renzella; Emily Ross; Andrew Taylor (Koli Calling, 2024)

DCC Sidekick: Helping Novices Solve Programming Errors Through a Conversational Explanation Interface. - Lorenzo Lee Solano; Jake Renzella; Alexandra Vassar (SIGCSE (2), 2024)

dcc -help: Transforming the Role of the Compiler by Generating Context-Aware Error Explanations with Large Language Models. - Andrew Taylor; Alexandra Vassar; Jake Renzella; Hammond Pearce (SIGCSE (1), 2024)

Scaling CS1 Support with Compiler-Integrated Conversational AI. - Jake Renzella; Alexandra Vassar; Lorenzo Lee Solano; Andrew Taylor (CoRR, 2024)

Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education. - Alexandra Vassar; Jake Renzella; Emily Ross; Andrew Taylor (CoRR, 2024)

Empowering CS1 Educators: Enhancing Automated Feedback Instruction with Cognitive Load Theory. - Justin T. Gonzaga; Yuchao Jiang; Alexandra Vassar (SIGCSE (2), 2025)

Building Global AI Literacy: Preparing Teachers for the Future of AI-Driven Classrooms. - Jake Renzella; Natasha Banks; Alexandra Vassar (SIGCSE (2), 2025)

Compiler-Integrated, Conversational AI for Debugging CS1 Programs. - Jake Renzella; Alexandra Vassar; Lorenzo Lee Solano; Andrew Taylor (SIGCSE (1), 2025)

Supervised Fine-Tuning LLMs to Behave as Pedagogical Agents in Programming Education. - Emily Ross; Yuval Kansal; Jake Renzella; Alexandra Vassar; Andrew Taylor (CoRR, 2025)

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools. - Lorenzo Lee Solano; Charles Koutcheme; Juho Leinonen 001; Alexandra Vassar; Jake Renzella (CoRR, 2025)