Most ITS applications augment existing mathematics teaching practices rather than transform instruction, indicating technological sophistication does not independently determine pedagogical value¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Son's (2024) synthesis using the SAMR framework found many ITS applications augmented existing practices while fewer transformed instruction. → Ogunsakin IB 2026
Evidence¶
Ogunsakin IB 2026¶
Ogunsakin IB, Ayanwale MA, Falebita OS and Felemu OJ (2026) Reimagining mathematics education through intelligent tutoring: evidence, opportunities, and implementation challenges. Front. Educ. 11:1943906. https://doi.org/10.3389/feduc.2026.1943906
q2 · i? · review · r2
The review reports this second-hand from Son's (2024) synthesis, attributing the SAMR-based finding to that source. It supports the review's conclusion that an ITS may automate conventional exercises without substantially improving mathematical reasoning or conceptual learning.
"Son’s (2024) synthesis using the SAMR framework indicated that many ITS applications augmented existing practices by providing automated feedback and individualised assistance. Fewer applications transformed instruction by enabling learning activities that would otherwise have been difficult to implement."
Discussion¶
Related Claims¶
- Most AI implementations in undergraduate higher education sit at the SAMR Substitution or Augmentation levels, with fewer Modification cases and one Redefinition — possibly the same claim (merge candidate)
- The competency model of AI literacy functions as a Freirean banking model, training users to adapt rather than transform — related
- The agent/consumer distinction is not primarily technical sophistication but capacity to interrogate the assumptions of AI outputs — related
- Intelligent tutoring systems are a mature, technologically sophisticated implementation of AI-driven personalized learning with mostly positive outcomes in programming, mathematics, and STEM — reports the opposite
- Most GenAI educational applications operate at SAMR's lowest level, substitution, replicating rather than transforming practice — related
- Teaching primarily helps the student agent realize existing potential rather than raise its absolute performance ceiling — related
- AI-driven reforms frequently operate through an efficiency–sustainability substitution mechanism that redefines sustainability as operational performance — related
- AI is not yet ready to replace teachers but presents a real possibility to augment them — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
its-applications-augment-not-transform |
title |
Most ITS applications augment existing mathematics teaching practices rather than transform instruction, indicating technological sophistication does not independently determine pedagogical value |
description |
Most ITS applications augment existing mathematics teaching practices rather than transform instruction, indicating technological sophistication does not independently determine pedagogical value |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ogunsakin-ib-2026 |
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