473 citations · 653 across the 16 of their papers we have counts for
7 papers · 1 filter
How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses
Leo Leppänen, Lili Aunimo, Arto Hellas +2
The release of ChatGPT in late 2022 caused a flurry of activity and concern in the academic and educational communities. Some see the tool's ability to generate human-like text tha…
LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education
Juho Leinonen, Paul Denny, Olli Kiljunen +3
There is a great need for data in computing education research. Data is needed to understand how students behave, to train models of student behavior to optimally support students,…
On the Opportunities of Large Language Models for Programming Process Data
John Edwards, Arto Hellas, Juho Leinonen
Computing educators and researchers have used programming process data to understand how programs are constructed and what sorts of problems students struggle with. Although such d…
Experiences from Integrating Large Language Model Chatbots into the Classroom
Arto Hellas, Juho Leinonen, Leo Leppänen
In the present study, we provided students an unfiltered access to a state-of-the-art large language model (LLM) chatbot. The chatbot was intentionally designed to mimic proprietar…
Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions
Teemu Lehtinen, Charles Koutcheme, Arto Hellas
Recent research has explored the creation of questions from code submitted by students. These Questions about Learners' Code (QLCs) are created through program analysis, exploring…
Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests
Arto Hellas, Juho Leinonen, Sami Sarsa +3
Background and Context: Over the past year, large language models (LLMs) have taken the world by storm. In computing education, like in other walks of life, many opportunities and…