Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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This study examines how a large-scale distance learning institution in the UK designed, implemented, and evaluated an artificial intelligence digital assistant (AIDA) using Sharples' (2025) embedded systems approach. Through six iterative Design-Based Research studies over 18 months, involving 498 students and 20 staff, we explored three questions: (1) how perceptions of AIDA change with experience; (2) its impact on engagement and learning; and (3) how GenAI can be responsibly deployed at a system level. Early Studies 1–3 gathered student preferences for AIDA's design and identified benefits of 24/7, context-specific support alongside concerns over ethics, academic integrity, and data...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Existing Predictive Learning Analytics (PLA) systems utilising machine learning models show they can improve teacher practice and, at the same time, student outcomes. The accuracy, and related errors, of these systems can negatively influence their adoption. However, little effort has been made to investigate the errors made by the underlying models. This study focused on errors of models predicting students at risk of not submitting their assignments. We analysed two groups of error when the model was confident about the prediction: (a) students predicted to submit their assignment, yet they did not (False Negative; FN), and (b) students predicted not to submit their assignment yet they...

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