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Immersive Learning Knowledge Tree

growing the evidence for "what works" in Immersive Learning

Calling Researchers in Computer Science, Game Design, UX, the Learning Sciences, and all areas for applying Immersive Learning in context!


Be part of the pioneering effort of systematization of knowledge in the field of Immersive Learning Research. This interdisciplinary research field is scattered. An effort for its systematization will attempt to unify a diversity of perspectives and approaches for the purpose of mapping and understanding the field and facilitating researchers with tools to communicate and coordinate effectively.

We call upon the community of immersive learning researchers to be a part of planting the Immersive Learning Knowledge Tree, a conceptual framework for a systematization effort for this field, combining both scholarly and practical knowledge. Its purpose is to cultivate a robust and growing knowledge base and methodological toolbox for immersive learning, to promote evidence-informed practice and guiding future research related to immersive learning, along three objectives:

  1. Developing common scientific terminology amidst the community of researchers;
  2. Cultivating a common understanding of methodology;
  3. Advancing common use of theoretical approaches, frameworks, and models.

About the Tree

The Knowledge Tree’s structure covers: Soil, Roots, Trunk, Branches, Leaves, and Birds (Fig. 1). Initiatives will be showcased online by The Immersive Learning Research Network (iLRN), and authors will be expected to attend special conference sessions/tracks and submit to special issues on this topic. Typical initiatives include: (a) scoping and systematic reviews on a diverse range of immersive learning constructs and concepts; (b) developing or contributing to ontologies and related taxonomies for capturing empirical research on the relationships between constructs identified in scoping reviews and syntheses of findings; (c) conceptual models to channel future research efforts toward a shared framework and agenda; (d) methodologies and instruments for conducting research; (e) community mapping and scientometrics, etc.

Practical knowledge sources are also important for the systemization of an applied field. Typical initiatives include (a) evidence repositories, based on the taxonomic frameworks and conceptual data models, enabling the derivation of evidence-based design principles, guidelines, and best practices for engaging, effective and efficient learning experiences; (b) community-curated collections of exemplars embodying and demonstrating the operationalization of the principles, guidelines, and best practices; (c) how-to documents, guidelines, references to resources, theoretical foundations, practical examples, existing tools, services – to assist educators and developers in implementation.

Proposals will be accepted Winter (January 15), Summer (June 1), and Fall (October 1).

Please submit your proposal via this form, including:

  1. Area of the KT to be addressed (soil, roots, trunk, branches, leaves, birds);
  2. Short description of how your proposed project will fit in that specific area of the KT; and description of your methods, 
  3. Relevant citations to past KT scholarship or other projects; 
  4. Description of resources you will utilize to complete your project and timeline to complete your project. 

Proposals submitted by January 15, 2022 will be invited to submit to the iLRN 2022 conference as a work-in-progress paper. Please contact with any questions.

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