2 papers
cs.CY2026
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…
cs.CL2024
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…