aceAI-enhanced pedagogical practices and mathematical language proficiency in STEM education
This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical language proficiency of senior high school students in Ghana. The current research adopted a quantitative cross-sectional design, where the structural equation modeling approach was used on a sample size of 360 participants, to investigate digital literacy and learning engagement as partial mediators. As expected, results from this study show that AEPP, DL, and LE are statistically significant positive pr…
AI-enhanced pedagogical practices were associated with higher mathematical language proficiency, communication and reasoning among senior high school students in Ghana, with digital literacy and learning engagement acting as mediators.
Findings are bounded by a cross-sectional design and a sample of 360 senior high school students in Ghana, limiting causal inference and generalizability beyond that population.
Evidence
- Peer-reviewedDiscover Artificial Intelligence2026-09-05
- Peer-reviewedInternational Journal of Research and Innovation in Social Science2026-01-01
- Peer-reviewedAmerican Journal of STEM Education2026-05-26
How should this claim be treated?
Truvace Impact Record TRV-2026-0180, v3: “AI-enhanced pedagogical practices and mathematical language proficiency in STEM education.” Truvace, 2026-10-05. /record/TRV-2026-0180 (accessed at citation time). sha256 936b17d10249b61b…
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