In recent years the need for assistive technologies for teaching and assessing Statistics is steadily rising. The ALEAS app aims to provide an intelligent adaptive assessment proposing a learning analytics approach that combines a psychometric model (multidimensional IRT) with Archetypal analysis to estimate the learners' ability in comparison with their peers.
Classification of Statistics learners using multi-dimensional latent class IRT model and archetypal analysis: The ALEAS app / Pacella, D.; Fabbricatore, R.; Galluccio, C.; Palumbo, F.. - (2022). (Intervento presentato al convegno IES 2022 Innovation & Society 5.0).
Classification of Statistics learners using multi-dimensional latent class IRT model and archetypal analysis: The ALEAS app
Pacella D.;Fabbricatore R.;Palumbo F.
2022
Abstract
In recent years the need for assistive technologies for teaching and assessing Statistics is steadily rising. The ALEAS app aims to provide an intelligent adaptive assessment proposing a learning analytics approach that combines a psychometric model (multidimensional IRT) with Archetypal analysis to estimate the learners' ability in comparison with their peers.| File | Dimensione | Formato | |
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IES2022_Pacella_etal.pdf
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