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Activity Number: 649 - The 'Ergonomics' of Statistics and Data Science
Type: Invited
Date/Time: Thursday, August 2, 2018 : 10:30 AM to 12:20 PM
Sponsor: International Statistical Institute
Abstract #326936 Presentation
Title: Analyzing Students' Data Analysis Pipeline Decisions to Build an Interactive, Adaptive Software Platform
Author(s): Rebecca Nugent*
Companies: Carnegie Mellon University
Keywords: Data Science; data analysis pipeline; online platform; adaptive education

The Carnegie Mellon Department of Statistics & Data Science is in the Dietrich College of Humanities and Social Sciences. So while we teach about a third of the campus population every semester (Statistics, Math, Computer Science, Business, etc), our introductory sequences are taken by hundreds of students with incredibly diverse degrees ranging from English Rhetoric to Statistics & Machine Learning. With the popularity of Data Science growing as a field but largely focused on students with strong computing skills, we are in an excellent position to characterize how students with very diverse backgrounds approach or even think about Data Science. Our new interactive platform removes the computing cognitive load and lets students explore Statistics & Data Science concepts in both structured and unstructured ways while supporting student-driven inquiry and case studies. We track every click or decision that is made throughout the entire data analysis pipeline from loading the data to the final written report. The platform is adaptive and flexible, providing student-dependent instruction modes, active learning opportunities, and exercises. Data Science for everybody.

Authors who are presenting talks have a * after their name.

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