47 citations · 71 across the 8 of their papers we have counts for
8 papers
CS Educator challenges and their solutions : A systematic mapping study
Anjali Chouhan, Sruti Srinivasa Ragavan, Amey Karkare
Computer Science (CS) education is expanding rapidly, but educators continue to face persistent challenges in teaching and learning environments.Despite growing interest, limited s…
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…
A Measure Based Generalizable Approach to Understandability
Vikas Kushwaha, Sruti Srinivasa Ragavan, Subhajit Roy
Successful agent-human partnerships require that any agent generated information is understandable to the human, and that the human can easily steer the agent towards a goal. Such…
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…
Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots
Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Information Foraging Theory's (IFT) framing of human information seeking choices as decision-theoretic cost-value judgments has successfully explained how people seek information a…
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…
What is it like to program with artificial intelligence?
Advait Sarkar, Andrew D. Gordon, Carina Negreanu +3
Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language. This technology has already…