11 citations · 12 across the 6 of their papers we have counts for
6 papers
Assessment in Team Problem-Solving Exercises in Computing Education
Valdemar Švábenský, Jan Vykopal, Sukrit Leelaluk +3
This full paper in the research-to-practice track presents methods for assessing student teams in tabletop exercises (TTXs). TTXs enable learner teams to prepare for workplace task…
PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
Mahiro Ozaki, Li Chen, Shotaro Naganuma +3
This study proposes and evaluates the PAnoramic Learning Map (PALM), a learning analytics (LA) dashboard designed to address the scalability challenges of LA by integrating curricu…
LECTOR: Summarizing E-book Reading Content for Personalized Student Support
Erwin Daniel López Zapata, Cheng Tang, Valdemar Švábenský +2
Educational e-book platforms provide valuable information to teachers and researchers through two main sources: reading activity data and reading content data. While reading activi…
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements
Sijie Xiong, Shuqing Liu, Cheng Tang +3
"This work has been submitted to the lEEE for possible publication. Copyright may be transferred without noticeafter which this version may no longer be accessible." Time series mo…
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…
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…