Congratulations to Magdalen Beiting-Parrish who defended her dissertation proposal on “Analyzing Linguistic Features of Standardized Math Items: A Text Mining Approach.”
Jay Verkuilen, Associate Professor, Educational Psychology, CUNY Graduate Center (Chairperson)
Howard Everson, Professor, Educational Psychology, CUNY Graduate Center
Wei Wang, Associate Professor, Psychology, CUNY Graduate Center
For this proposed dissertation, a corpus of released standardized test items representing math topics in grades 3-8 were collected for the purposes of lexical and semantic analysis. This proposal describes the development of three articles all related to text mining of standardized math test items. The first proposed article describes a potential bag of words approach to lexical analysis of these test items. The second proposed article describes a parts of speech tagging approach to a semantic analysis of these items. Finally, the third proposed article describes the creation and development of a lexical parser that educators and test makers could use to more thoughtfully design test items that are written in a clear and concise manner to better support all students, but especially English Language Learners and students with special needs.