18 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.HC2022★ 18 cited
Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing
Paul Denny, Sami Sarsa, Arto Hellas +1
In this article, we introduce and evaluate the concept of robosourcing for creating educational content. Robosourcing lies in the intersection of crowdsourcing and large language m…
cs.SE2022★ 3 cited
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
Stephen MacNeil, Andrew Tran, Arto Hellas +5
Advances in natural language processing have resulted in large language models (LLMs) that are capable of generating understandable and sensible written text. Recent versions of th…
cs.LG2021★ 11 cited
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability
Sami Sarsa, Juho Leinonen, Arto Hellas
We review and evaluate a body of deep learning knowledge tracing (DLKT) models with openly available and widely-used data sets, and with a novel data set of students learning to pr…