TY - GEN
T1 - A scalable learning analytics platform for automated writing feedback
AU - Lewkow, Nicholas
AU - Feild, Jacqueline
AU - Zimmerman, Neil
AU - Riedesel, Mark
AU - Essa, Alfred
AU - Boulanger, David
AU - Seanosky, Jeremie
AU - Kinshuk, Vive Kumar
AU - Kode, Sandhya
PY - 2016/4/25
Y1 - 2016/4/25
N2 - In this paper, we describe a scalable learning analytics platform which runs generalized analytics models on educational data in parallel. As a proof of concept, we use this platform as a base for an end-to-end automated writing feedback system. The system allows students to view feedback on their writing in near real-time, edit their writing based on the feedback provided, and observe the progression of their performance over time. Providing students with detailed feedback is an important part of improving writing skills and an essential component towards solving Bloom's "two sigma" problem in education. We evaluate the effectiveness of the feedback for students with an ongoing pilot study with 800 students who are using the learning analytics platform in a college English course.
AB - In this paper, we describe a scalable learning analytics platform which runs generalized analytics models on educational data in parallel. As a proof of concept, we use this platform as a base for an end-to-end automated writing feedback system. The system allows students to view feedback on their writing in near real-time, edit their writing based on the feedback provided, and observe the progression of their performance over time. Providing students with detailed feedback is an important part of improving writing skills and an essential component towards solving Bloom's "two sigma" problem in education. We evaluate the effectiveness of the feedback for students with an ongoing pilot study with 800 students who are using the learning analytics platform in a college English course.
KW - Analytic tools for learners
KW - Automatic essay feedback
KW - Natural language processing
KW - Performance feedback
KW - Scalable analytics
UR - http://www.scopus.com/inward/record.url?scp=84970024952&partnerID=8YFLogxK
U2 - 10.1145/2876034.2893380
DO - 10.1145/2876034.2893380
M3 - Published Conference contribution
AN - SCOPUS:84970024952
T3 - L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
SP - 109
EP - 112
BT - L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
T2 - 3rd Annual ACM Conference on Learning at Scale, L@S 2016
Y2 - 25 April 2016 through 26 April 2016
ER -