AI-embedded robotic learning in inclusive classrooms: analysis of adaptive scaffolding effects on mathematical reasoning
Article / Journal
Author(s) / editor(s):
Andriyani and Muhammad Irfan
,
Jayanti Putri Purwaningrum
,
Nuryadi
,
Riawan Yudi Purwoko
,
Teguh Wibowo
,
Wahju Tjahyo Saputro
Year: 2026
Language(s): English
Abstract:
This quasi-experimental mixed-methods study (N=47 slow learners) tested an AI-driven hybrid robotic learning environment with adaptive scaffolding in inclusive junior-high math classrooms and found significant gains in mathematical reasoning (mean pre=47.96, post=60.66, p<0.001, d=1.58), indicating the system effectively supports adaptive differentiation and cognitive scaffolding.
https://doi.org/10.3389/feduc.2026.1825175
Post created by: Virginia Signorini