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Found 3 papers, 1 papers with code
Deep Learning for Educational Data Science
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.
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses
In this paper, we explore the application of large language models (LLMs) for generating code-tracing questions in introductory programming courses.
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations
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.
