TRV-2026-1462Certified recordPeer-reviewed

Challenges and the Repositioning of Islamic Religious Education Teachers in the Era of Artificial Intelligence (AI): A Perspective from Islamic Epistemology

Artificial intelligence (AI), particularly generative AI, is reshaping how students access, produce, verify, and communicate information, raising questions about source authority, adab, values, and character formation in Islamic Religious Education (IRE). This study examines the challenges facing IRE teachers and proposes a repositioning of their roles from an Islamic epistemological perspective. A qualitative library research approach was employed, drawing on literature on Islamic education and epistemology, te…

Education · Problem Space — documented harm · certified 2026-10-15 · v1 · article view · machine-readable

Current reading — problem

Generative AI is changing how students access, produce and verify information, raising questions about source authority, adab, values and character formation that Islamic Religious Education teachers must address.

What this doesn’t fix

The study is a conceptual library-based analysis that offers a proposed model, and the text does not report empirical testing of the model or measured effects on students or teachers.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1462, v1: “Challenges and the Repositioning of Islamic Religious Education Teachers in the Era of Artificial Intelligence (AI): A Perspective from Islamic Epistemology.” Truvace, 2026-10-15. /record/TRV-2026-1462 (accessed at citation time). sha256 631e71a0a41d9f92…

Calibration history

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

  1. Certifiedv1631e71a0a41d…

    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-2026-1462 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.