A Taxonomy for Virtual and Augmented Reality in Education

Esat Alpay; Jiri Motejlek

arxiv: 1906.12051 · v1 · pith:CFGEHYJTnew · submitted 2019-06-28 · 💻 cs.HC

A Taxonomy for Virtual and Augmented Reality in Education

Jiri Motejlek , Esat Alpay This is my paper

Pith reviewed 2026-05-25 14:13 UTC · model grok-4.3

classification 💻 cs.HC

keywords taxonomyvirtual realityaugmented realityeducationVRARengineering educationethics

0 comments

The pith

A taxonomy for VR and AR in education categorizes experiences to explain why some succeed and others fail.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents a taxonomy for virtual and augmented reality in education. It is designed to differentiate and categorize different types of educational experiences using these technologies. The taxonomy is also intended to indicate the reasons some applications succeed while others do not. Examples from two ongoing VR projects illustrate its use: one for training chemical engineering students on a physical pilot plant, and another using VR cinematography for ethics scenarios in engineering work. A reader would care because such a framework could inform better planning and development of educational VR and AR tools.

Core claim

The paper claims that a taxonomy for VR/AR in education can help differentiate and categorise education experiences and provide indication as to why some applications fail whereas others succeed.

What carries the argument

The taxonomy for VR/AR in education, which classifies experiences to reveal patterns linked to success or failure.

If this is right

The taxonomy guides the planning of VR training applications for chemical engineering students on physical facilities.
It supports the design of VR experiences for enacting ethics scenarios in engineering contexts.
Developers can align new projects with categories that have historically performed better.
The framework offers a way to analyze existing VR/AR education tools for effectiveness patterns.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The taxonomy could be tested for usefulness in non-engineering subjects such as history or biology.
Pairing it with standard learning outcome data might reveal whether category assignments predict measurable student gains.
Curriculum designers could use the categories to decide when VR or AR adds value versus when simpler methods suffice.
Further work might adapt the taxonomy to include mixed reality or mobile AR experiences.

Load-bearing premise

That the taxonomy, once developed, will reliably indicate why VR/AR applications succeed or fail.

What would settle it

An empirical study that applies the taxonomy to multiple VR/AR education projects and finds no consistent correlation between its categories and measured success rates.

read the original abstract

In this paper, a taxonomy for VR/AR in education is presented that can help differentiate and categorise education experiences and provide indication as to why some applications of fail whereas others succeed. Examples will be presented to illustrate the taxonomy, including its use in developing and planning two current VR projects in our laboratory. The first project is a VR application for the training of Chemical Engineering students (and potentially industrial operators) on the use of a physical pilot plant facility. The second project involves the use of VR cinematography for enacting ethics scenarios (and thus ethical awareness and development) pertinent to engineering work situations.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

The paper proposes a taxonomy for VR/AR in education illustrated by two lab projects, but supplies no categories, derivation details, or evidence that it can indicate success versus failure.

read the letter

The main point is that the authors outline a taxonomy meant to sort VR and AR education experiences and flag reasons some work while others do not. They point to two projects from their own lab as illustrations: a VR setup for chemical engineering students learning a pilot plant, and a VR cinematography tool for running ethics scenarios in engineering contexts. That choice of examples shows an effort to cover both technical skill-building and softer professional development goals. The practical tie-in to ongoing development work is the clearest strength here. It moves beyond pure theory and gives readers something specific to picture when thinking about how a taxonomy might shape planning. The description of the projects is straightforward enough that someone working on similar tools could see potential applications. The gaps are straightforward too. No categories are listed, no account is given of how the taxonomy was built or tested against other schemes, and there is no mapping of real cases or outcome data to show the taxonomy actually separates successes from failures. The claim that it can provide indications for why applications succeed or fail stays at the level of intent. This kind of paper is mainly for people already working in educational technology or HCI who want frameworks to organize design choices around immersive tools. A reader in that niche could pull some ideas from the project descriptions even if the taxonomy itself needs more work. I would bring it to a reading group to talk through what a usable taxonomy in this space would actually require. I would not cite it in its current form. It deserves peer review so the authors can add the missing structure, compare it to existing classifications, and perhaps run a small check against documented cases.

Referee Report

3 major / 1 minor

Summary. The manuscript presents a taxonomy for VR/AR in education intended to differentiate and categorize educational experiences while also indicating why some applications succeed and others fail. The taxonomy is illustrated through two in-house projects: a VR application for training Chemical Engineering students (and industrial operators) on a physical pilot plant facility, and a VR cinematography application for enacting ethics scenarios relevant to engineering work.

Significance. A rigorously derived and validated taxonomy in this domain could help guide design decisions in educational VR/AR by identifying differentiating factors linked to outcomes. The manuscript's use of concrete project examples to illustrate application of the taxonomy is a positive element that grounds the proposal in practice.

major comments (3)

[Abstract] Abstract: the central claim that the taxonomy 'provide[s] indication as to why some applications fail whereas others succeed' is asserted without any systematic mapping of existing applications, outcome metrics, failure analyses, or cross-validation against documented cases, leaving the indicative function as an untested assertion rather than a demonstrated property.
[Taxonomy development] Taxonomy development section: no description is given of the derivation process, data sources, or criteria used to construct the categories, which is load-bearing for the claim that the taxonomy can reliably differentiate experiences.
[Project examples] Project examples section: the two in-house projects are described as illustrations but without any reported outcome data, success/failure metrics, or comparison to alternative approaches that would allow evaluation of the taxonomy's indicative power.

minor comments (1)

[Abstract] Clarify whether the taxonomy applies equally to VR and AR or distinguishes between them, as the title and abstract treat them together without explicit differentiation.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the detailed and constructive feedback. We agree that several aspects of the manuscript require clarification to better reflect the scope of the work as a taxonomy proposal rather than a validated predictive model. We will revise the abstract, add a dedicated section on taxonomy derivation, and clarify the role of the project examples.

read point-by-point responses

Referee: [Abstract] Abstract: the central claim that the taxonomy 'provide[s] indication as to why some applications fail whereas others succeed' is asserted without any systematic mapping of existing applications, outcome metrics, failure analyses, or cross-validation against documented cases, leaving the indicative function as an untested assertion rather than a demonstrated property.

Authors: We agree that the abstract phrasing overstates the current contribution. The taxonomy is designed around dimensions (e.g., immersion, interaction fidelity, pedagogical alignment) that logically relate to known success factors in the VR/AR education literature, but we have not performed a systematic review or outcome mapping. We will revise the abstract to state that the taxonomy 'is intended to support analysis of why applications may succeed or fail' and explicitly note that empirical validation is future work. revision: yes
Referee: [Taxonomy development] Taxonomy development section: no description is given of the derivation process, data sources, or criteria used to construct the categories, which is load-bearing for the claim that the taxonomy can reliably differentiate experiences.

Authors: The taxonomy was constructed iteratively from a review of approximately 40 VR/AR education papers (2010–2018) combined with design challenges encountered in our two projects. Categories were refined using criteria of mutual exclusivity, coverage of key differentiating factors (presence, agency, content fidelity, assessment integration), and utility for design decisions. We will add a new subsection detailing the literature sources, derivation steps, and refinement criteria. revision: yes
Referee: [Project examples] Project examples section: the two in-house projects are described as illustrations but without any reported outcome data, success/failure metrics, or comparison to alternative approaches that would allow evaluation of the taxonomy's indicative power.

Authors: The projects serve only to demonstrate how the taxonomy can be applied during design and planning; they are not presented as outcome studies. No pre/post metrics or controlled comparisons were collected for these early-stage projects. We will revise the section to explicitly label them as illustrative applications and remove any implication that they demonstrate the taxonomy's predictive value. revision: yes

Circularity Check

0 steps flagged

No circularity: conceptual taxonomy with no derivations or self-referential claims

full rationale

The paper presents a taxonomy for VR/AR in education as a conceptual framework, using two in-house projects only as illustrations. No equations, parameters, predictions, or derivations exist. The claim that the taxonomy can indicate success/failure mechanisms is an assertion about future utility rather than a reduction of any result to its own inputs. No self-citation chains or ansatzes are invoked as load-bearing. The work is self-contained as a proposal without circular structure.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a conceptual taxonomy proposal with no mathematical or empirical components, so no free parameters, axioms, or invented entities are involved.

pith-pipeline@v0.9.0 · 5619 in / 1049 out tokens · 34782 ms · 2026-05-25T14:13:48.268547+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

2 extracted references · 2 canonical work pages

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A Collaborative Virtual Environment for Situated Language Learning Using VEC3D,

Y. Shih and M. Yang, “A Collaborative Virtual Environment for Situated Language Learning Using VEC3D,” pp. 1–13, Mar. 2008. [18] B. Laurel, “AR and VR: Cultivating the Garden,” Presence: Teleoperators and Virtual Environments, vol. 25, no. 3, pp. 253–266, Dec. 2016. [19] T. Nicolas, R. Gaugne, C. Tavernier, Q. Petit, V. Gouranton, and B. Arnaldi, “Touchin...

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Simulator for Minimally Invasive Vascular Interventions: Hardware and Software,

P. A. Baier, J. A. Baier-Saip, K. Schilling, and J. C. Oliveira, “Simulator for Minimally Invasive Vascular Interventions: Hardware and Software,” Presence: Teleoperators and Virtual Environments, vol. 25, no. 2, pp. 108–128, Nov. 2016. [35] I. Milleville-Pennel and C. Charron, “Driving for Real or on a Fixed-Base Simulator: Is It so Different? An Explora...

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