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Architectural Transparency in LLM-Based Cognitive Assessment: A Multidimensional TRACE-ED Evaluation of Single-Agent and Multi-Agent Systems
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Architectural Transparency in LLM-Based Cognitive Assessment: A Multidimensional TRACE-ED Evaluation of Single-Agent and Multi-Agent Systems
Purpose:The rapid integration of Large Language Models (LLMs) into educational assessment systems has intensified the need for rigorous transparency validation beyond accuracy and score agreement. While prior research primarily evaluates automated grading systems through reliability a...
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