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ERIC Number: ED560905
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 4
Abstractor: As Provided
Reference Count: 6
Improving Student Performance Using Nudge Analytics
Feild, Jacqueline
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015)
Providing students with continuous and personalized feedback on their performance is an important part of encouraging self regulated learning. As part of our higher education platform, we built a set of data visualizations to provide feedback to students on their assignment performance. These visualizations give students information about how they are doing compared to the rest of the class, and allow them to compare the time they spent on assignments across their courses. Included in the feedback are "nudges" which provide guidance on how students might improve their performance by adjusting when they start or submit assignments. In order to understand what nudges to provide to students, we analyzed historical data from over 1.4 million students on over 27 million assignment submissions to find student performance trends. The data confirmed that student performance significantly decreases when assignments are started on the same day they are due and when they are submitted after the due date. We used these findings and the past and current performance of each student to display nudges relevant for them in their visualizations, highlighting actionable strategies for improving future performance. [For complete proceedings, see ED560503.]
International Educational Data Mining Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: International Educational Data Mining Society