Supporting better formative feedback in task-oriented portfolio assessment. - Jake Renzella; Andrew Cain (TALE, 2017)

A Proposal for Integrating Gamification into Task-Oriented Portfolio Assessment. - Jonathon Meyers; Andrew Cain; Jake Renzella; Alex Cummaudo (TALE, 2018)

SplashKit: A Development Framework for Motivating and Engaging Students in Introductory Programming. - Jake Renzella; Alex Cummaudo; Andrew Cain; John Grundy 001; Jonathon Meyers (TALE, 2018)

Enriching programming student feedback with audio comments. - Jake Renzella; Andrew Cain (ICSE (SEET), 2020)

An intelligent tool for combatting contract cheating behaviour by facilitating scalable student-tutor discussions. - Jake Renzella; Andrew Cain; Jean-Guy Schneider (ICSE (Companion Volume), 2020)

Real Talk: Illuminating Online Student Understanding with Authentic Discussion Tools. - Jake Renzella; Andrew Cain; Jean-Guy Schneider (SIGCSE, 2021)

Verifying student identity in oral assessments with deep speaker. - Jake Renzella; Andrew Cain; Jean-Guy Schneider (Comput. Educ. Artif. Intell., 2022)

Using Focus to Personalise Learning and Feedback in Software Engineering Education. - Bansri Amish Modi; Andrew Cain; Guy Wood-Bradley; Jake Renzella (SEET@ICSE, 2023)

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

Improving Computing Education through a Holistic Learning Framework: A Focus Group Study. - Bansri Amish Modi; Andrew Cain; Guy Wood-Bradley; Laura Tubino; Jake Renzella (TALE, 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)

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

Enhancing Formative Feedback at Scale with the Intelligent Feedback Assistant. - Rifa Jamal; Jake Renzella (SIGCSE (2), 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)

On the relevance of pre-neural approaches in natural language processing pedagogy. - Aditya Joshi; Jake Renzella; Pushpak Bhattacharyya; Saurav Jha; Xiangyu Zhang (CoRR, 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)

Day of AI Australia: Teacher Insights from a Nation-Wide AI Literacy Program for K-12 Students. - Natasha Banks; Jake Renzella (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)