Visualizing a Collective Student Model for Procedural Training Environments

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Riofrío-Luzcando, Diego, RamÍrez, Jaime, Moral, Cristian, de Antonio, Angélica, Berrocal-Lobo, Marta
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911334439845888
author Riofrío-Luzcando, Diego
RamÍrez, Jaime
Moral, Cristian
de Antonio, Angélica
Berrocal-Lobo, Marta
author_facet Riofrío-Luzcando, Diego
RamÍrez, Jaime
Moral, Cristian
de Antonio, Angélica
Berrocal-Lobo, Marta
contents 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 paper illustrates, with three detailed examples, how this tool can be used to those educational purposes. Next, the paper presents an experiment for validating the utility of the tool. In this experiment we show how the tool can help to modify the tutoring strategy of a 3D virtual laboratory. In this way, it is shown that the proposed visualization of the model can serve to improve the performance of students in 2D/3D virtual environments for procedural training.
format Preprint
id arxiv_https___arxiv_org_abs_2512_19885
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Visualizing a Collective Student Model for Procedural Training Environments
Riofrío-Luzcando, Diego
RamÍrez, Jaime
Moral, Cristian
de Antonio, Angélica
Berrocal-Lobo, Marta
Human-Computer Interaction
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 paper illustrates, with three detailed examples, how this tool can be used to those educational purposes. Next, the paper presents an experiment for validating the utility of the tool. In this experiment we show how the tool can help to modify the tutoring strategy of a 3D virtual laboratory. In this way, it is shown that the proposed visualization of the model can serve to improve the performance of students in 2D/3D virtual environments for procedural training.
title Visualizing a Collective Student Model for Procedural Training Environments
topic Human-Computer Interaction
url https://arxiv.org/abs/2512.19885