Automatically scoring tests of proficiency in music instruction

10Citations
Citations of this article
71Readers
Mendeley users who have this article in their library.

Abstract

We present preliminary work on automatically scoring constructed responses elicited as part of a certification test designed to measure the effectiveness of the test-taker as a K-12 music teacher. This content scoring differs from most previous work in that the responses are relatively long and are written by an adult population of generally proficient English writers. We obtain reasonably good scoring performance for all the test questions using simple features. We carry out some initial error analysis and show that there is still room for improvement.

Cite

CITATION STYLE

APA

Madnani, N., Cahill, A., & Riordan, B. (2016). Automatically scoring tests of proficiency in music instruction. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 217–222). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-0524

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free