Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation

Algorithmic automatic item generation can be used to obtain large quantities of cognitive items in the domains of knowledge and aptitude testing. However, conventional item models used by template-based automatic item generation techniques are not ideal for the creation of items for non-cognitive co...

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Detalles Bibliográficos
Autores principales: Hommel, Björn E., Wollang, Franz-Josef M., Kotova, Veronika, Zacher, Hannes, Schmukle, Stefan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Application Reviews and Case Studies
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166894/
https://www.ncbi.nlm.nih.gov/pubmed/34907497
http://dx.doi.org/10.1007/s11336-021-09823-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166894/
https://www.ncbi.nlm.nih.gov/pubmed/34907497
http://dx.doi.org/10.1007/s11336-021-09823-9

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