Visualizing a Collective Student Model for Procedural Training Environments
Diego Riofr\'io-Luzcando, Jaime Ram\'Irez, Cristian Moral, Ang\'elica de Antonio, Marta Berrocal-Lobo

TL;DR
This paper introduces a visualization tool for a collective student model in 2D/3D virtual training environments, aiding instructors and intelligent tutoring systems to improve teaching strategies and student performance.
Contribution
The paper presents a novel visualization design and a web tool for collective student modeling in complex virtual environments, validated through an experiment improving tutoring strategies.
Findings
The visualization tool helps instructors interpret student behaviors effectively.
Using the tool, tutoring strategies can be adapted to enhance student performance.
The experiment demonstrates improved student outcomes with the visualization-based approach.
Abstract
Visualization plays a relevant role for discovering patterns in big sets of data. In fact, the most common way to help a human with a pattern interpretation is through a graphic. In 2D/3D virtual environments for procedural training the student interaction is more varied and complex than in traditional e-learning environments. Therefore, the visualization and interpretation of students' behaviors becomes a challenge. This motivated us to design the visualization of a collective student model built from student logs taken from 2D/3D virtual environments for procedural training. This paper presents the design decisions that enable a suitable visualization of this model to instructors as well as a web tool that implements this visualization and is intended: to help instructors to improve their own teaching; and to enhance the tutoring strategy of an Intelligent Tutoring System. Then, this…
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