Immersive Learning in the Wild: A Progress Report

Alexander Klippel, Danielle Oprean, Jiayan Zhao, Jan Oliver Wallgrün, Peter LaFemina, Kathy Jackson, Elise Gowen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


Immersive technologies have entered the mainstream. To establish them firmly in educational curricula requires both practical and empirical assessments that ultimately lead to best practice and design recommendations. We report on a study that contributes to both. To enrich geoscience education, we developed an immersive virtual field trip (iVFT) that we evaluated in previous small-scale studies. In order to make it accessible to larger audiences we (a) developed a version of the iVFT for mobile devices (Oculus Go); and (b) used an evolving public VR infrastructure at The Pennsylvania State University. The results of an empirical evaluation are insightful in that they show that system characteristics are only partially predicting learning experiences and that required mainstream adoption, that is, making immersive experiences mandatory for all students in a class, still has its challenges. We discuss the results and future developments.

Original languageEnglish (US)
Title of host publicationImmersive Learning Research Network - 5th International Conference, iLRN 2019, Proceedings
EditorsDennis Beck, Anasol Peña-Rios, Todd Ogle, Daphne Economou, Markos Mentzelopoulos, Leonel Morgado, Christian Eckhardt, Johanna Pirker, Christian Gütl, Roxane Koitz-Hristov, Jonathon Richter, Michael Gardner
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783030230883
StatePublished - 2019
Event5th International Conference of the Immersive Learning Network, iLRN 2019 - London, United Kingdom
Duration: Jun 23 2019Jun 27 2019

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference5th International Conference of the Immersive Learning Network, iLRN 2019
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics


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