|Title:||Automated Basic Reading Assessment|
|Principal Investigator:||Bernstein, Jared||Awardee:||Analytic Force|
|Program:||Small Business Innovation Research [Program Details]|
|Award Period:||6 months (5/1/2016-10/31/2016)||Award Amount:||$149,788.80|
|Type:||Phase I Development||Award Number:||EDIES16C0004|
Success Story: https://ies.ed.gov/sbir/AnalyticMeasures.asp
Project Website: http://www.analyticmeasures.com
Phase I award
Through a 2014 contract from the NAEP program at the National Center for Education Statistics and during Phase I (completed in 2016), the team developed a prototype of Moby.Read, a tablet-based app where grade school students read a passage aloud and the speech-recognition software generates an assessment of oral-reading fluency in real-time. In a pilot study at the end of Phase I, the researchers tested the prototype with 99 grade school students and four teachers. Results showed Moby.Read generated scores correlated with traditional human-rated oral reading fluency assessments, and that most students indicated preferring Moby.Read to teacher-administered tests.
Moby.Read Phase I Prototype: https://youtu.be/4gb0nmbVfQo
SkillCheck Phase I Prototype: https://youtu.be/_97B3FUAA9Q
Recognition: 2020: Finalist for an SIIA Codie Award
Related IES Projects: Moby.Read: Automated Basic Reading Assessment (EDIES17C0030); Early Reading Diagnostic Profiler (91990020C0070 ); SkillCheck: Automatic Early Reading Diagnosis and Intervention (91990021C0040)
Bernstein, J., Cheng, J., Balogh, J., & Downey, R. (2020). Artificial intelligence for scoring oral reading fluency. In H. Jiao & R. Lissitz (Eds.), Applications of artificial intelligence to assessment. Charlotte, NC: Information Age Publisher.
Cheng, J. (2018, September 2-6). Real-time scoring of an oral reading assessment on mobile devices[Paper presentation]. Interspeech, Hyderabad, India.