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cs.SE2026
How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs
Ali Alfageeh, Rahul Gopinath, Amin Alipour
Prompts are the primary mechanism for directing the behavior of large language models (LLMs). Yet the internal structure and causal hierarchy of prompts remain poorly understood: w…
cs.HC2026
Pulla: A Parsons Problem Tool for Fine-Grained Behavioral Tracing and Instructor-Facing Problem-Solving Analysis
Daniel Prol, Juho Leinonen, Arto Hellas +2
Existing Parsons problem tools primarily focus on correctness, indicating whether a student solved a problem, but providing limited visibility into the underlying problem-solving p…
cs.HC2026
Analysis of Types of Inquiries in Student-AI Interaction: A case study of two CS2 tasks
Matin Amoozadeh, Amin Alipour
Background and Context: Question and inquiry are integral parts of knowledge seeking and learning. Despite their importance, students tend not to ask enough questions in the classr…