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Ismail Bozdag

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Comparing the Marking Accuracy of an AI Marking System with Official Examination Board Marks and Experienced Teacher Judgement A Case Study in GCSE Physics

Automated marking systems built on large language models are increasingly proposed as a way toreduce teacher workload and to provide fast, formative feedback on examination-style questions.Before such systems can be trusted for either formative or summative use, however, their markingaccuracy needs to be quantified aga...

Ismail Bozdag, Manting Qiu · 0 citations
#small language model Open access Sep 2026

Agreement and Run-to-Run Consistency of an AI Marking System against Examination Board Marks: A Case Study in A-level

Large language model (LLM) based marking systems are increasingly used to mark examinationstylework, but two questions must be answered before their marks can be relied upon: howclosely do they agree with examination board marks, and how much do their marks change whenthe same work is marked again? This paper addresses...

Ismail Bozdag, Manting Qiu · 0 citations
#small language model Open access Sep 2026

Agreement and Run-to-Run Consistency of an AI Marking System against Examination Board Marks: A Case Study in A-level

Large language model (LLM) based marking systems are increasingly used to mark examinationstylework, but two questions must be answered before their marks can be relied upon: howclosely do they agree with examination board marks, and how much do their marks change whenthe same work is marked again? This paper addresses...

Ismail Bozdag, Manting Qiu · 0 citations

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