Generative AI Practices in European Higher EducationDigital ReportADMIT ReportMapping and Comparative Analysis of Best Practices Across Educational LevelsErasmus+ EthicAI Project · Work Package 2 · Task 2.2 — Prepared by Anadolu University
Practice Matrix · Macro

Assessment and Academic Integrity

National policy · Assessment redesign, disclosure requirements, detection practices and integrity regulation.

Back to the matrix
practices
1
Who
1
Where
1
Source report
1

The reading of this intersection

The count in the cell shows density; what the intersection says is carried by the reading below.

The single record situated here inverts the direction national instruments ordinarily take. Elsewhere the national level regulates how others may use generative tools, whereas here a national assessment body is reported to be using such tools to produce examination items. The account derives from one respondent and is not corroborated by an institutional return, which is the reason it is recorded with its provenance visible rather than generalised.

Who, and where

The actors carrying out the practice and where they are. Where a source does not name the institution, no attribution is made.

Institutions and actors
  • Measuring, Selection and Placement Centre (ÖSYM)
Countries
  • Türkiye
Context
  • Public authority

How it was done

Each record stands with its imprint, its short reading and the sentence found in the source. Quotations are not shortened, so that a reader can check the inference.

AI-generated items in a national standardised examination

A teacher reports that questions for a national standardised language examination are now generated using artificial intelligence. The account is brief but marks a national assessment body applying generative tools to item production rather than regulating their use by others.

Institution
Measuring, Selection and Placement Centre (ÖSYM)
Country
Türkiye
Delivery model
not stated in the source
Context
Public authority
Contributed by
not stated in the source
Year
2026
Maturity
Piloted
Scalability
Established
Transferability
Piloted
Source report
R3
Evidence

A single respondent account with the examination named; no institutional return corroborates it, so the record is coded conservatively.

Questions for standardized exams are now being generated using artificial intelligence
R3, p. 3.3.4