no code implementations • 12 Apr 2024 • Juan D. Pinto, Luc Paquette
With the ever-growing presence of deep artificial neural networks in every facet of modern life, a growing body of researchers in educational data science -- a field consisting of various interrelated research communities -- have turned their attention to leveraging these powerful algorithms within the domain of education.
1 code implementation • 23 Oct 2023 • Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang
In this paper, we explore the application of large language models (LLMs) for generating code-tracing questions in introductory programming courses.
no code implementations • 3 Feb 2023 • Yingbin Zhang, Luc Paquette
Sequential pattern mining (SPM), as a pattern recognition technique, has the potential to reveal the temporal aspects of learning and can be a valuable tool in educational data science.