Theory-driven classification of six IVR learning processes and nine eye-trackable constructs¶
Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 quant-synthesis),q2· 1 of 1 report an effect size · 2 claims rest on one study
Description¶
The article develops a classification mapping eye-tracking metrics onto learning processes in IVR, grounded in CTML, CATLM, CASTLE, CAMIL, and Cognitive Load Theory. It proposes "a classification of six key learning processes (i.e., cognitive, motivational, affective, social, metacognitive, media-specific) and nine associated constructs (i.e., attention, visual strategy, cognitive load, motivation, emotion, social attention, self-regulation, immersion, usability) measurable through eye tracking in IVR." The media-specific category was added to capture IVR-specific processes such as embodiment, and review literature supplied the construct subcategories used as the coding scheme.
Accounts¶
- Theory-driven classification of six IVR learning processes and nine eye-trackable constructs: The article develops a classification mapping eye-tracking metrics onto learning processes in IVR, grounded in CTML, CATLM, CASTLE, CAMIL, and Cognitive Load Theory. It proposes "a classification of six key learning processes (i.e., cognitive, motivational, affective, social, metacognitive, media-specific) and nine associated constructs (i.e., attention, visual strategy, cognitive load, motivation, emotion, social attention, self-regulation, immersion, usability) measurable through eye tracking in IVR." The media-specific category was added to capture IVR-specific processes such as embodiment, and review literature supplied the construct subcategories used as the coding scheme. (Lee et al. (2026))
Claims¶
- Attention is the most frequently assessed learning construct in IVR eye-tracking research, while motivation, self-regulation, and immersion are unexamined [+M]
- Eye-tracking measures of cognitive load show significantly higher validity than measures of other learning constructs in IVR [+M]
Related Research Methods¶
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Key Sources¶
- Lee, J. Y., Moon, J., Paas, F., Cho, M., Darejeh, A., Holmer, S., & Ayres, P. (2026). Validity of Eye-Tracking Measures in Immersive Virtual Reality: Using Cognitive Theories of Learning. Educational Psychology Review. https://doi.org/10.1007/s10648-026-10186-9
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
theory-driven-classification-of-six-ivr-learning-processes-and-nine-eye-trackable-construc |
title |
Theory-driven classification of six IVR learning processes and nine eye-trackable constructs |
description |
The article develops a classification mapping eye-tracking metrics onto learning processes in IVR, grounded in CTML, CATLM, CASTLE, CAMIL, and Cognitive Load Theory. |
status |
review |
generated |
by process:settle-candidates on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
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