Examining the learner’s cognitive load in response to different learning material in high and low immersive virtual learning environments
- Learning in virtual, immersive environments must be well-designed to foster learning instead of overwhelming and distracting the learner. So far, learning instructions based on cognitive load theory recommend keeping the learning instructions clean and simple to reduce the extraneous cognitive load of the learner to foster learning performance. The advantages of immersive learning, such as multiple options for realistic simulation, movement and feedback, raise questions about the tension between an increase of excitement and flow with highly realistic environments on the one hand and a reduction of cognitive load by developing clean and simple surroundings on the other hand. This study aims to gain insights into learners' cognitive responses during the learning process by continuously assessing cognitive load through eye-tracking. The experiment compares two distinct immersive learning environments and varying methods of content presentation.
Author details: | Jana Gonnermann-MüllerORCiDGND, Malte TeichmannORCiDGND |
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DOI: | https://doi.org/10.1007/978-3-031-58396-4_29 |
ISBN: | 978-3-031-58395-7 |
ISBN: | 978-3-031-58396-4 |
Title of parent work (English): | Information systems and neuroscience |
Subtitle (English): | an eye-tracking study |
Publisher: | Springer |
Place of publishing: | Cham |
Editor(s): | Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz |
Publication type: | Conference Proceeding |
Language: | English |
Date of first publication: | 2024/07/26 |
Publication year: | 2024 |
Release date: | 2024/08/07 |
Volume: | 68 |
Number of pages: | 12 |
First page: | 333 |
Last Page: | 344 |
Organizational units: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre |
DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft | |
Peer review: | Nicht ermittelbar |