+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
TruaceTracing the truth around AIMonday, September 14, 2026
Subscribe
TRV-2026-0373Certified recordPeer-reviewed

Innovative Teaching Methods Supported by Artificial Intelligence and Students’ Mathematical Problem-Solving: The Mediating Role of Student Engagement

The study investigated how innovative, AI-supported teaching methods relate to the mathematics problem-solving ability of Senior High School (SHS) students in Ghana. This study examined how teachers’ AI-supported pedagogical practices relate to students’ problem-solving ability, the extent to which student engagement serves as an explanatory variable for that relationship, and whether students’ mathematical self-belief (MSB) moderates that relationship. A quantitative cross-sectional design was employed; partici…

Education · G Space — documented gain · certified 2026-07-20 · v5 · article view · machine-readable

Current reading — gain

Teachers' AI-supported pedagogical practices were associated with higher student engagement and stronger mathematical problem-solving ability among senior high school students in Ghana.

What this doesn’t fix

Findings are bounded by a cross-sectional design and a sample limited to Ghanaian senior high schools, limiting causal and generalizability claims.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0373, v5: “Innovative Teaching Methods Supported by Artificial Intelligence and Students’ Mathematical Problem-Solving: The Mediating Role of Student Engagement.” Truvace, 2026-09-04. /record/TRV-2026-0373 (accessed at citation time). sha256 d74ecc5dd18d6003…

Calibration history

Every change to this record since certification, in the open.

  1. Sources changedv5d74ecc5dd18d…

    Source set updated

  2. Sources changedv4766f46056ff3…

    Source set updated

  3. Sources changedv3b834757f69a9…

    Source set updated

  4. Sources changedv25374ddc71685…

    Source set updated

  5. Certifiedv1f873fad955f3…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0373 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.