11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 11 cited
Comparison of Large Language Models for Generating Contextually Relevant Questions
Ivo Lodovico Molina, Valdemar Švábenský, Tsubasa Minematsu +3
This study explores the effectiveness of Large Language Models (LLMs) for Automatic Question Generation in educational settings. Three LLMs are compared in their ability to create…
cs.CY2024
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
Yuma Miyazaki, Valdemar Švábenský, Yuta Taniguchi +3
Digital textbook (e-book) systems record student interactions with textbooks as a sequence of events called EventStream data. In the past, researchers extracted meaningful features…