Towards an Immersive Learning Knowledge Tree - a Conceptual Framework for Mapping Knowledge and Tools in the Field

• Published in: 2021 7th International Conference of the Immersive Learning Research Network (iLRN) pp. 1 - 8
• Main Authors: Beck, Dennis, Morgado, Leonel, Lee, Mark, Gutl, Christian, Dengel, Andreas, Wang, Minjuan, Warren, Scott, Richter, Jonathon
• Format: Conference Proceeding
• Language: English
• Published: Immersive Learning Research Network 17.05.2021
• Subjects: Birds; epistemology; immersive learning; Knowledge based systems; Knowledge Tree; ontology; Proposals; Soil; Terminology
• DOI: 10.23919/iLRN52045.2021.9459338

The interdisciplinary field of immersive learning research is scattered. Combining efforts for better exploration of this field from the different disciplines requires researchers to communicate and coordinate effectively. We call upon the community of immersive learning researchers for planting the Knowledge Tree of Immersive Learning Research, a proposal for a systematization effort for this field, combining both scholarly and practical knowledge, cultivating a robust and ever-growing knowledge base and methodological toolbox for immersive learning. This endeavor aims at promoting evidence-informed practice and guiding future research in the field. This paper contributes with the rationale for three objectives: 1) Developing common scientific terminology amidst the community of researchers; 2) Cultivating a common understanding of methodology, and 3) Advancing common use of theoretical approaches, frameworks, and models.