VINE: An Innovative Model for Collaboration between Humanities and STEM for Learning Data Science
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Authors
Ramamurthy, Bina
Aceto, Melanie
Issue Date
2015
Type
Activity or Lab
Language
en_US
Keywords
SUNY , State University of New York , IITG , Innovative Instructional Technology Grants , Digital Choreographic Lineage (DCL) Project , Learning Strategies , Collaborative Learning Technologies
Alternative Title
Abstract
We propose an innovative instructional model called Vine that will leverage the Digital Choreographic Lineage (DCL) project. DCL is an ongoing project of the investigators for digitizing dance data. The immediate goal of Vine is to scale-up and adapt the technology of the DCL, namely the data science process, into an instructional model. The ultimate goal of Vine is to explore the potential benefits of interaction between Arts, Humanities and STEM disciplines.
CSE111: Great Ideas in Computer Science for non-Majors taught by Ramamurthy will serve as a model course for the Vine framework. Aceto’s team will introduce the DCL concept to the CSE111 students. They will build the user-level interfaces, data-driven computations and analytics through three lab projects. The model will also include educating students about broader applications of emerging technologies, digitizing real- world systems, and developing impactful products. Vine will offer a reproducible and adoptable model for collaboration among disciplines.
Description
Outcomes TBD (August 2016)
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Publisher
License
Creative Commons
Attribution-NonCommercial-ShareAlike 4.0 International
Attribution-NonCommercial-ShareAlike 4.0 International