Intelligent Science Stations (EarthShake)¶
Product or Programme · All products and programmes
Evidence · 4 claims (3 for, 1 mixed) · 1 study (1 causal),q3· 1 of 1 report an effect size · 4 claims rest on one study
Description¶
A mixed-reality science-learning system developed by Yannier et al. that uses depth sensing, computer vision, and an animated guide to support elementary learners' inquiry into balance and stability.
Components¶
Claims¶
- Adaptive condition shows only a non-significant trend for transfer to engineering outcomes (tower building) [~W]
- Adaptivity does not sacrifice enjoyment [+W]
- Log analysis shows adaptive condition concentrates practice on unmastered concepts while random condition over-practices easy ones [+W]
- BKT adaptivity in a mixed-reality Intelligent Science Station improves children's post-test learning of scientific principles compared to random task selection [+W]
Related Products and Programmes¶
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Key Sources¶
- Yannier, N., Hudson, S. E., Chang, H., & Koedinger, K. R. (2024). AI Adaptivity in a Mixed-Reality System Improves Learning. International Journal of Artificial Intelligence in Education, 34, 1541–1558. https://doi.org/10.1007/s40593-023-00388-5
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
intelligent-science-stations-earthshake |
title |
Intelligent Science Stations (EarthShake) |
description |
A mixed-reality science-learning system developed by Yannier et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
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