55 citations · 131 across the 10 of their papers we have counts for
10 papers
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source
Aman Kumar, Akshay G Bharadwaj, Binil Starly +1
As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge. The develop…
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…
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…
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…
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…
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…
Early Prediction of Course Grades: Models and Feature Selection
Hengxuan Li, Collin F. Lynch, Tiffany Barnes
In this paper, we compare predictive models for students' final performance in a blended course using a set of generic features collected from the first six weeks of class. These f…
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…
Identifying Student Communities in Blended Courses
Niki Gitinabard, Collin F. Lynch, Sarah Heckman +1
Blended courses have become the norm in post-secondary education. Universities use large-scale learning management systems to manage class content. Instructors deliver readings, le…
A Social Network Analysis on Blended Courses
Niki Gitinabard, Linting Xue, Collin F. Lynch +2
The large-scale online management systems (e.g. Moodle), online web forums (e.g. Piazza), and online homework systems (e.g. WebAssign) have been widely used in the blended courses…