Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

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Generative AI (GenAI) challenges assessment validity by enabling students to complete tasks without demonstrating genuine capability. In response to this challenge, institutions have developed and implemented various approaches that aim to communicate permissible AI use to students. Familiar examples include the ‘traffic light’ approach now commonly found within institutional policy. While well-intentioned, these approaches share a common limitation: They focus primarily on communicating rules rather than redesigning assessment mechanics. To clarify why such approaches fail, and to guide more effective responses, this paper introduces a novel conceptual distinction between discursive changes...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

There is a huge and growing amount of data that is already captured in the many, diverse digital tools that support learning. Additionally, learning data is often inaccessible to teachers or served in a manner that fails to support or inform their teaching and design practice. We need systematic, learner-centred ways for teachers to design learning data that supports them. Drawing on decades of Artificial Intelligence in Education (AIED) research, we show how to make use of important AIED concepts: (1) learner models; (2) Open Learner Models (OLMs); (3) scrutability and (4) Ontologies. We show how these concepts can be used in the design of OLMs, interfaces that enable a learner to see and...

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