+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…

+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…

TRV-2026-0010Certified recordPeer-reviewed

"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE"

This study investigates the effectiveness of Artificial Intelligence (AI)-enhanced Learning Management Systems (LMS) in improving academic achievement, engagement, and critical thinking among primary school students. Despite growing adoption of AI tools in educational settings, findings reveal limited measurable benefits at the primary level. A mixed-method, cross-sectional design was employed ...

Education · General · certified 2026-07-11 · v1 · article view · machine-readable

Current reading — gain

This study investigates the effectiveness of Artificial Intelligence (AI)-enhanced Learning Management Systems (LMS) in improving academic achievement, engagement, and critical thinking among primary school students. Despite growing adoption of AI tools in educational settings, findings reveal limited measurable benefits at the primary level. A mixed-method, cross-sectional design was employed ...

What this doesn’t fix

Machine-ingested summary: the claims above reflect a single primary source and have not been weighed against contradicting evidence by a Truvace editor yet.

Evidence

Peer-reviewedmVedra2026-12-30

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0010, v1: “"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE".” Truvace, 2026-07-11. /record/TRV-2026-0010 (accessed at citation time). sha256 d6e6683dc35213fa…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

Certified2026-07-11v1d6e6683dc352…
Record certified retroactively at institutional-layer launch

Verify this record

How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0010 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.