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Peer reviewedPerkins, Kyle; And Others – Language Testing, 1995
This article reports the results of using a three-layer back propagation artificial neural network to predict item difficulty in a reading comprehension test. Three classes of variables were examined: text structure, propositional analysis, and cognitive demand. Results demonstrate that the networks can consistently predict item difficulty. (JL)
Descriptors: Artificial Intelligence, Difficulty Level, English (Second Language), Language Tests
