Back to search

Article

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

2021-11-02

Abstract excerpt

<p>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 constructs. Progress in this area has been made recently by employing long short-term memory recurrent neural networ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
fc9dec2f-108e-5a9d-b624-931914f83ee0
DOI
10.31234/osf.io/qfvpe
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item GenerationDOI 10.31234/osf.io/qfvpe
Select a neighboring publication to make it the new centre.