activity
20232026
most citedObserving Without Doing: Pseudo-Apprenticeship Patterns in Student LLM Use

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

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…

cs.HC20251 cited

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…

cs.HC2025

From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions

Ali Alfageeh, Sadegh AlMahdi Kazemi Zarkouei, Daye Nam +9

Background and Context. The increasing integration of large language models (LLMs) in computing education presents an emerging challenge in understanding how students use LLMs and…

cs.HC2024

Student-AI Interaction: A Case Study of CS1 students

Matin Amoozadeh, Daye Nam, Daniel Prol +5

The new capabilities of generative artificial intelligence tools Generative AI, such as ChatGPT, allow users to interact with the system in intuitive ways, such as simple conversat…

cs.HC2023

Trust in Generative AI among students: An Exploratory Study

Matin Amoozadeh, David Daniels, Daye Nam +5

Generative artificial systems (GenAI) have experienced exponential growth in the past couple of years. These systems offer exciting capabilities, such as generating programs, that…