activity
20172021
most citedHow Widely Can Prediction Models be Generalized? Performance Prediction in Blended Courses

55 citations · 118 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2021★ 10 cited

Designing a Dashboard for Student Teamwork Analysis

Niki Gitinabard, Sarah Heckman, Tiffany Barnes +1

Classroom dashboards are designed to help instructors effectively orchestrate classrooms by providing summary statistics, activity tracking, and other information. Existing dashboa…

cs.CY2020★ 8 cited

Student Teamwork on Programming Projects: What can GitHub logs show us?

Niki Gitinabard, Ruth Okoilu, Yiqao Xu +3

Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporati…

cs.CY2019★ 8 cited

What will you do next? A sequence analysis on the student transitions between online platforms in blended courses

Niki Gitinabard, Sarah Heckman, Tiffany Barnes +1

Students' interactions with online tools can provide us with insights into their study and work habits. Prior research has shown that these habits, even as simple as the number of…

cs.CY2019★ 19 cited

Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses

Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch +2

Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs, this online data can be used to inform instructors and to provide auto…

cs.CY2019★ 55 cited

How Widely Can Prediction Models be Generalized? Performance Prediction in Blended Courses

Niki Gitinabard, Yiqiao Xu, Sarah Heckman +2

Blended courses that mix in-person instruction with online platforms are increasingly popular in secondary education. These tools record a rich amount of data on students' study ha…

cs.CY2018★ 9 cited

Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features

Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch +1

The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting…