Joe Nese, PhD, joined the COE in 2011 as a research associate, and was appointed in 2016 as a research assistant professor within the Behavioral Research and Teaching research group. His research involves educational assessment and applied measurement, focusing on developing and improving systems that support teacher decision making by using advanced technologies such as speech recognition and machine learning. Nese recently received a grant from the Institute of Education Sciences for $1.6 million to develop and validate a computerized assessment system of oral reading — Computerized Oral Reading Evaluation, or CORE. Traditional oral reading assessments are quite useful in predicting students’ general reading proficiency. Nese reports that, “Although it only takes a couple minutes to assess one student, it takes a lot of time to test an entire classroom because each student is tested individually.”
CORE would help solve this problem by containing an automated speech recognition engine that scores students’ oral reading so that an entire classroom can be tested at once. In addition, CORE uses an advanced psychometric model to overcome some of the inadequacies of traditional oral reading assessments. Nese hopes that CORE can help alleviate the resource demands of one-to-one testing administration, increase the reliability of fluency scores, and reduce instructional time lost to testing for both teachers and students.
Ph.D., 2009, University of Maryland, College Park
M.A., 2006, University of Maryland, College Park
B.A., 2002, University of California, Santa Barbara