The growing reliance of higher education (HE) students on Generative Artificial Intelligence (GenAI) tools for learning and assessment risks circumventing rather than enhancing the learning process without adequate support and direction. Reflecting on experiences within a UK university, we explored how students use GenAI tools in practice. We argue that students rely on GenAI differently for learning than for assessments and tend to focus more on the output or performance than on the learning journey itself. This raises questions on how GenAI can be successfully integrated into the curriculum without jeopardising learning. Based on observations that some students use GenAI platforms as a substitute for learning rather than as a tool to enhance learning, our policy recommendations focus on curriculum planning and assessment design.

Approach generative AI tools proactively or risk bypassing the learning process in higher education / Sallai, Dorottya; Cardoso-Silva, Jonathan; Barreto, Marcos; Panero, Francesca; Berrada, Ghita; Luxmoore, Sara. - In: LSE PUBLIC POLICY REVIEW. - ISSN 2633-4046. - 3:3(2024). [10.31389/lseppr.108]

Approach generative AI tools proactively or risk bypassing the learning process in higher education

Francesca Panero;
2024

Abstract

The growing reliance of higher education (HE) students on Generative Artificial Intelligence (GenAI) tools for learning and assessment risks circumventing rather than enhancing the learning process without adequate support and direction. Reflecting on experiences within a UK university, we explored how students use GenAI tools in practice. We argue that students rely on GenAI differently for learning than for assessments and tend to focus more on the output or performance than on the learning journey itself. This raises questions on how GenAI can be successfully integrated into the curriculum without jeopardising learning. Based on observations that some students use GenAI platforms as a substitute for learning rather than as a tool to enhance learning, our policy recommendations focus on curriculum planning and assessment design.
2024
generative ai; artificial intelligence; artificial intelligence in education; higher education; education policy; technological change; technological impact; technology adoption
01 Pubblicazione su rivista::01a Articolo in rivista
Approach generative AI tools proactively or risk bypassing the learning process in higher education / Sallai, Dorottya; Cardoso-Silva, Jonathan; Barreto, Marcos; Panero, Francesca; Berrada, Ghita; Luxmoore, Sara. - In: LSE PUBLIC POLICY REVIEW. - ISSN 2633-4046. - 3:3(2024). [10.31389/lseppr.108]
File allegati a questo prodotto
File Dimensione Formato  
panero_Approach-generative_2024.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.46 MB
Formato Adobe PDF
1.46 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1739579
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact