4 papers
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…
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…
To Google or To ChatGPT? A Comparison of CS2 Students' Information Gathering Approaches and Outcomes
Aayush Kumar, Daniel Prol, Amin Alipour +1
LLMs such as ChatGPT have been widely adopted by students in higher education as tools for learning programming and related concepts. However, it remains unclear how effective stud…
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…