Showing 1 - 2 of 2 Research Library Publications

Extracting Linguistic Signal From Item Text and Its Application to Modeling Item Characteristics

Posted: | Victoria Yaneva, Peter Baldwin, Le An Ha, Christopher Runyon

Advancing Natural Language Processing in Educational Assessment: Pages 167-182

 

This chapter discusses the evolution of natural language processing (NLP) approaches to text representation and how different ways of representing text can be utilized for a relatively understudied task in educational assessment – that of predicting item characteristics from item text.

Category:Assessment-Oriented Research, Applications of Technology, Scoring

The Optimal Number of Options for Multiple-Choice Questions on High-Stakes Tests: Application of a Revised Index for Detecting Nonfunctional Distractors

Posted: | M.R. Raymond, C. Stevens, S.D. Bucak

Adv in Health Sci Educ 24, 141–150 (2019)

 

Research suggests that the three-option format is optimal for multiple choice questions (MCQs). This conclusion is supported by numerous studies showing that most distractors (i.e., incorrect answers) are selected by so few examinees that they are essentially nonfunctional. However, nearly all studies have defined a distractor as nonfunctional if it is selected by fewer than 5% of examinees.

Category:Assessment-Oriented Research, General Measurement