Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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The advent of generative artificial intelligence (GenAI) has further intensified concerns about academic integrity, raising fundamental questions about ethical behavior in assessment practices. Given that most of the conversation is currently focused on what students’ ethical behavior should be, we extend the conversation in this chapter to propose a theoretical framework for ethical assessment from the educator’s side. By adopting a student-centered perspective and considering the evolving role of GenAI in education, we redefine ethical assessment in a way that prioritizes meaningful learning and consequently promotes academic integrity. This framework aims to guide educators in developing assessments that align with...

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