Title:
Laser Scanner Digital Demonstrator

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dc.contributor.author Shankar, Abhishek
dc.date.accessioned 2022-06-22T14:11:39Z
dc.date.available 2022-06-22T14:11:39Z
dc.date.issued 2022
dc.description Scanner was developed by Steven Kangisser and Abhishek Shankar as part of the BOLD Graduate Fellowship at Georgia Tech. This repository contains the original prototype files used to build the digital demonstrator along with links to its documentation and the web-accessible demonstrator. en_US
dc.description.abstract Scanner is a digital demonstrator of a laser scanner. The demonstrator provides students an opportunity to gain hands-on learning experience by replacing a physical instrument. This is valuable when such physical devices are not available. The digital demonstrator is applied in a building construction scenario. The intent of this digital device is to serve as a testbed for other digital demonstrators, primarily for STEM education. Scanner enables equipment access to students in remote learning environments or in situations where access to equipment is restricted. Scanner can also be used as an instructional tool in a classroom setting to showcase the functionality of the physical instrument. en_US
dc.description.sponsorship Georgia Tech Blended and Online Learning Design (BOLD) Graduate Fellowship Program en_US
dc.identifier.uri http://hdl.handle.net/1853/66810
dc.publisher Georgia Institute of Technology en_US
dc.rights Creative Commons Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Digital demonstrator en_US
dc.subject Open education tool en_US
dc.subject Laser scanning en_US
dc.title Laser Scanner Digital Demonstrator en_US
dc.type Interactive Resource
dc.type.genre Learning Object
dspace.entity.type Publication
local.contributor.corporatename Blended and Online Learning Design Graduate Fellowship Program
local.relation.ispartofseries BOLD Graduate Fellowship
relation.isOrgUnitOfPublication 17673407-1c9b-46e5-b1a1-b3fc0e2cea09
relation.isSeriesOfPublication 9c0f2079-07c1-4187-b6c8-f8e3f745f062
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