Gauthmath as AI-Assisted Scaffolding in Secondary Mathematics: Learner Achievement and Acceptability in Combinatorics

This action research examined the effects of the Gauthmath application, an AI-assisted mathematics platform, on the achievement and acceptability of Grade 10 learners (n = 30) in permutations and combinations at a national high school in the Philippines (SY 2024–2025).The teacher-researcher employed a one-group pre-test–post-test design over a five-week unit(25 sessions, 18.75 hours), aligned with the prescribed Most Essential Learning Competency(MELC) schedule: permutations (Weeks 1–2), combinations (Weeks 3–4), and integration(Week 5). Grounded in Vygotsky’s (1978) Zone of Proximal Development (ZPD), Sweller’s(1988) and Sweller, van Merriënboer, and Paas’s (2019) Cognitive Load Theory (CLT), andRyan and Deci’s (2000) Self-Determination Theory (SDT), the study explored how AI-assisted step-by-step scaffolding supports combinatorics learning as a Technology–MathematicsSTEM integration within the Community and School sub-theme. Each daily session followed a three-phase protocol: an independent problem attempt, an application-assisted review using Gauthmath’s annotated solutions, and a structured reflection. Results showed strongly positive learner acceptability across usability (Weighted Average Mean [WAM] = 4.58),relevance (WAM = 4.63), and engagement (WAM = 4.69), all interpreted as Strongly Agree. A statistically significant performance gain was observed from pre-test (Mean Percentage Score[MPS] = 27.44%) to post-test (MPS = 81.56%), t(29) = −22.4, p < .001, d = 4.09. Five of sixMELC competency clusters reached mastery at post-test; circular and distinguishable permutations (73.3%) remained approaching the threshold. After adjusting for regression-to-mean artefact (approximately 24% of the gain), a large residual gain of approximately 41percentage points persists. The findings support the daily integration of Gauthmath as a ZPD-aligned supplement during the combinatorics MELC unit in Philippine secondary mathematics classrooms.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22824486
Primary Topic
Mathematics Education and Teaching Techniques
Type
article
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0.00
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article

Gauthmath as AI-Assisted Scaffolding in Secondary Mathematics: Learner Achievement and Acceptability in Combinatorics

Christian Genesis Guinto, Maria Magdalena Cabangca
Zenodo (CERN European Organization for Nuclear Research)
Mathematics Education and Teaching Techniques
article

Gauthmath as AI-Assisted Scaffolding in Secondary Mathematics: Learner Achievement and Acceptability in Combinatorics

Christian Genesis Guinto, Maria Magdalena Cabangca
article en

Abstract

This action research examined the effects of the Gauthmath application, an AI-assisted mathematics platform, on the achievement and acceptability of Grade 10 learners (n = 30) in permutations and combinations at a national high school in the Philippines (SY 2024–2025).The teacher-researcher employed a one-group pre-test–post-test design over a five-week unit(25 sessions, 18.75 hours), aligned with the prescribed Most Essential Learning Competency(MELC) schedule: permutations (Weeks 1–2), combinations (Weeks 3–4), and integration(Week 5). Grounded in Vygotsky’s (1978) Zone of Proximal Development (ZPD), Sweller’s(1988) and Sweller, van Merriënboer, and Paas’s (2019) Cognitive Load Theory (CLT), andRyan and Deci’s (2000) Self-Determination Theory (SDT), the study explored how AI-assisted step-by-step scaffolding supports combinatorics learning as a Technology–MathematicsSTEM integration within the Community and School sub-theme. Each daily session followed a three-phase protocol: an independent problem attempt, an application-assisted review using Gauthmath’s annotated solutions, and a structured reflection. Results showed strongly positive learner acceptability across usability (Weighted Average Mean [WAM] = 4.58),relevance (WAM = 4.63), and engagement (WAM = 4.69), all interpreted as Strongly Agree. A statistically significant performance gain was observed from pre-test (Mean Percentage Score[MPS] = 27.44%) to post-test (MPS = 81.56%), t(29) = −22.4, p < .001, d = 4.09. Five of sixMELC competency clusters reached mastery at post-test; circular and distinguishable permutations (73.3%) remained approaching the threshold. After adjusting for regression-to-mean artefact (approximately 24% of the gain), a large residual gain of approximately 41percentage points persists. The findings support the daily integration of Gauthmath as a ZPD-aligned supplement during the combinatorics MELC unit in Philippine secondary mathematics classrooms.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 2%
Mathematics Education and Teaching Techniques
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Gauthmath as AI-Assisted Scaffolding in Secondary Mathematics: Learner Achievement and Acceptability in Combinatorics — Christian Genesis Guinto, Maria Magdalena Cabangca · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS