Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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The growing use of generative AI (GenAI) tools like ChatGPT raises serious concerns about academic integrity, especially in the context of assessments. While detection efforts have focused on open-ended responses, multiple-choice questions (MCQs), which are common in high-stakes testing, remain largely overlooked, partly due to their perceived detection difficulty. The present work establishes a theoretical and empirical foundation for applications of psychometric theory to separate GenAI and human responses. Specifically, it investigates whether person-fit statistics (PFS), a class of methods within Item Response Theory (IRT) used to evaluate how well an examinee’s response pattern fits...

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