A Multimodal Data Model for Simulation-Based Learning with Va.Si.Li-Lab

被引:7
作者
Mehler, Alexander [1 ]
Bagci, Mevlut [1 ]
Henlein, Alexander [1 ]
Abrami, Giuseppe [1 ]
Spiekermann, Christian [1 ]
Schrottenbacher, Patrick [1 ]
Konca, Maxim [1 ]
Luecking, Andy [1 ]
Engel, Juliane [1 ]
Quintino, Marc [1 ]
Schreiber, Jakob [1 ]
Saukel, Kevin [1 ]
Zlatkin-Troitschanskaia, Olga [2 ]
机构
[1] Goethe Univ Frankfurt M, Frankfurt, Germany
[2] Johannes Gutenberg Univ Mainz, Mainz, Germany
来源
DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT, DHM 2023, PT I | 2023年 / 14028卷
关键词
multimodal learning; simulation-based learning; distributed multiple documents; critical online reasoning; visual communication; Va.Si.Li-Lab; DIRECTED HYPERGRAPHS; EDUCATION; ALIGNMENT;
D O I
10.1007/978-3-031-35741-1_39
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Simulation-based learning is a method in which learners learn to master real-life scenarios and tasks from simulated application contexts. It is particularly suitable for the use of VR technologies, as these allow immersive experiences of the targeted scenarios. VR methods are also relevant for studies on online learning, especially in groups, as they provide access to a variety of multimodal learning and interaction data. However, VR leads to a trade-off between technological conditions of the observability of such data and the openness of learner behavior. We present Va.Si.Li-Lab, a VR-Lab for Simulation-based Learning developed to address this trade-off. Va.Si.Li-Lab uses a graph-theoretical model based on hypergraphs to represent the data diversity of multimodal learning and interaction. We develop this data model in relation to mono- and multimodal, intra- and interpersonal data and interleave it with ISO-Space to describe distributed multiple documents from the perspective of their interactive generation. The paper adds three use cases to motivate the broad applicability of Va.Si.Li-Lab and its data model.
引用
收藏
页码:539 / 565
页数:27
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