2 citations · 4 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
Observing Without Doing: Pseudo-Apprenticeship Patterns in Student LLM Use
Jade Hak, Nathaniel Lam Johnson, Matin Amoozadeh +2
Large Language Models (LLMs) such as ChatGPT have quickly become part of student programmers' toolkits, whether allowed by instructors or not. This paper examines how introductory…
Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners
James Prather, Brent N. Reeves, Paul Denny +11
Non-native English speakers (NNES) face multiple barriers to learning programming. These barriers can be obvious, such as the fact that programming language syntax and instruction…
Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media
Afiya Ayman, Shanto Roy, Amin Alipour +1
Blockchain-based platforms are emerging as a transformative technology that can provide reliability, integrity, and auditability without trusted entities. One of the key features o…