18 citations · 32 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
Katri Leino, Juho Leinonen, Mittul Singh +2
Creating open-domain chatbots requires large amounts of conversational data and related benchmark tasks to evaluate them. Standardized evaluation tasks are crucial for creating aut…