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dc.contributor.authorRamamurthy, Bina
dc.contributor.authorAceto, Melanie
dc.date.accessioned2021-05-13T18:23:59Z
dc.date.available2021-05-13T18:23:59Z
dc.date.issued2015
dc.identifier.urihttps://online.suny.edu/iitg/view/project-view/entry/277/
dc.identifier.urihttp://hdl.handle.net/1951/71510
dc.descriptionOutcomes TBD (August 2016)en_US
dc.description.abstractWe 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.en_US
dc.description.sponsorshipState University of New York (SUNY), Innovative Instructional Technology Grants (IITG)en_US
dc.language.isoen_USen_US
dc.rightsCreative Commonsen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectSUNYen_US
dc.subjectState University of New Yorken_US
dc.subjectIITGen_US
dc.subjectInnovative Instructional Technology Grantsen_US
dc.subjectDigital Choreographic Lineage (DCL) Projecten_US
dc.subjectLearning Strategiesen_US
dc.subjectCollaborative Learning Technologiesen_US
dc.titleVINE: An Innovative Model for Collaboration between Humanities and STEM for Learning Data Scienceen_US
dc.typeActivity or Laben_US
dcterms.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en_US


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