most citedFrom Code to Concept: Evaluating Multiple Coordinated Views in Introductory Programming

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education

Seth Bernstein, Naaz Sibia

Motivation: Undergraduate computing students increasingly turn to generative AI (GenAI) tools to understand abstract concepts through analogies. Analogies compare an unfamiliar con…

cs.HC2026

Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations

Naaz Sibia, Jessica Wen, Amber Richardson +7

Program visualizations are widely used to support novice programmers, yet students often ignore or resist well-designed visual scaffolds. Research on multiple external representati…

cs.CY2026

AI-Generated Traces for Novice Programmers: Learning Effects and Learner Differences in a Multi-Institutional Study

Yuri Noviello, Naaz Sibia, Anastasiia Birillo +3

Introductory programming (CS1) courses often struggle to support students' understanding of program execution. While visualizations can make execution processes explicit, their eff…

cs.HC2026★ 1 cited

From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews

Runlong Ye, Naaz Sibia, Angela Zavaleta Bernuy +4

Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This fri…

cs.HC2025★ 1 cited

From Code to Concept: Evaluating Multiple Coordinated Views in Introductory Programming

Naaz Sibia, Valeria Ramirez Osorio, Jessica Wen +5

Novice programmers often struggle to understand how code executes and to form the abstract mental models necessary for effective problem-solving, challenges that are amplified in l…