Mentors: Dr. Huzefa Rangwala, Jessica Lin and Jill Nelson

Mentees: Howard Baek, William Cho

Develop a system that builds a visual dashboard for instructors and administrators. Data will be used from server logs of 5 MOOC classes obtained from Stanford Edx initiative and KDD Cup Dataset.

• Specific tasks will involve using a frequent mining algorithm to identify common sequential patterns of interaction with a MOOC.

Mentor: Dr. Huzefa Rangwala and Aditya Johri

Mentees: Co Tran, Rachel Witner

• model student learning within class for grade prediction using regression/deep learning on LMS data
• develop a visual analytics dashboard to help instructor provide patterns of success
• develop an early warning system for identifying students' survival in class
• Dataset to be used: Canvas Network Dataset

Mentor: Dr. Thomas LaToza

Mentees: Efe Ozturkoglu, Andrea Solis

• document programming strategies and see how crowd-programming can be usedful for learning.
• build a system for crowdsourcing strategy refinement
• Intelligent Autocomplete
• Investigate differing models of documents, evaluate performance
• build a tool that explains models back to the user

Mentor: Dr. Aditya Johri and Hemant Purohit

Mentees: Byron Biney, Olivia Kruse

• analyze twitter metadata about specific stem-related hashtags to determine who participates
• what kinds of messages are being shared
• what kind of networks form within and across hashtags
• build predictive models forecasting trends in STEM Awareness

Mentor: Dr. Vivian Motti

Mentees: Mia Cornwell, Kelly Glebus

• track data on neurodiverse students receiving guidance during lectures via wearables.
• develop analytical models for identifying interventions.
• develop analytical models for determining success.

Project 6: Anomolies Detection