Work-in-Progress—Learning Machines: Useful Intelligent Tutoring Within Immersive STEM VLEs

Authors

  • Brad Thompson Department of Computer Science and Engineering University of California, Santa Cruz Santa Cruz, California, U.S.A.

DOI:

https://doi.org/10.56198/

Keywords:

Human computer interaction, Immersive learning, Intelligent tutoring systems, STEM, Mixed reality

Abstract

A framework for implementing evidence based principles of learning and memory within a Virtual Learning Space (VLS) using intelligent tutoring systems (ITS) for STEM courses is being created. This framework represents a new domain of application called a “Learning Machines” (LM). The objective of this work in progress paper is to create a framework of design guidelines and evaluation heuristics that promote LM usefulness. Preliminary considerations are explored and a description of an application being developed for this new domain is shared. The evaluation heuristics are generated according to the Procedural Methodology for Heuristics of Usability (PROMETHEUS). The new framework is expected to improve development and evaluation of STEM learning applications.

Published

17-11-2025

Conference Proceedings Volume

Section

Conference Proceeedings

How to Cite

Work-in-Progress—Learning Machines: Useful Intelligent Tutoring Within Immersive STEM VLEs. (2025). Immersive Learning Research - Academic, 1(1), 247-250. https://doi.org/10.56198/

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