Textual complexity as a predictor of difficulty of listening items in language proficiency tests.

Anastassia Loukina · Su‐Youn Yoon · Jennifer Sakano · Youhua Wei

24 citations0/0 files storedInternational Conference on Computational Linguistics

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Second Language Acquisition and Learning Natural Language Processing Techniques Text Readability and Simplification

Abstract

In this paper we explore to what extent the difficulty of listening items in an English language proficiency test can be predicted by the textual properties of the prompt. We show that a system based on multiple text complexity features can predict item difficulty for several different item types and for some items achieves higher accuracy than human estimates of item difficulty.

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References

1990The Effect of Syntax, Speed, and Pauses on Listening Comprehension 2010What makes listening difficult? Factors affecting second language listening comprehension 2002Exploring task difficulty in ESL listening assessment 1995AN ANALYSIS OF FACTORS AFFECTING THE DIFFICULTY OF DIALOGUE ITEMS IN TOEFL LISTENING COMPREHENSION 1985AN ALTERNATE DEFINITION OF THE ETS DELTA SCALE OF ITEM DIFFICULTY 2001Combining Multiple Regression and CART to Understand Difficulty in Second Language Reading and Listening Comprehension Test Items 1996THE PREDICTION OF TOEFL LISTENING COMPREHENSION ITEM DIFFICULTY FOR MINITALK PASSAGES: IMPLICATIONS FOR CONSTRUCT VALIDITY

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