15 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…
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…
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…
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Shunsuke Yoneda, Valdemar Švábenský, Gen Li +2
Digital textbooks are widely used in various educational contexts, such as university courses and online lectures. Such textbooks yield learning log data that have been used in num…
Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment
Gen Li, Li Chen, Cheng Tang +4
We explore the use of Large Language Models (LLMs) for automated assessment of open-text student reflections and prediction of academic performance. Traditional methods for evaluat…
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…