Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Formative quality assurance in the creation of examination tasks has always been an extremely time-consuming process. Especially due to the changing and short-lived content of computer science, new questions have to be created regularly, which in turn requires quality assurance. With the emergence of artificial intelligence (AI) systems such as ChatGPT and their ability to solve a range of different tasks, the question arises as to what extent this ability can also be utilized as part of a quality assurance process. One aspect of the formative quality assurance of multiple-choice questions involves checking the correct classification of alternative answers into correct and incorrect answers...

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