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Multimodal Test Item Parameter Prediction From Text, Images, and Metadata: Fusing Together AI Vision and Language Models

Educational and Psychological Measurement

Published online on

Abstract

Educational and Psychological Measurement, Ahead of Print.
We propose a flexible multimodal model for predicting all dichotomous and polytomous item parameters from text, images, and metadata by fusing representations from encoder Transformer vision and language models. This deep learning model accommodates ...