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dc.contributor.advisorIsaac Chuang.en_US
dc.contributor.authorDaly, Katharine Men_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2015-12-16T15:54:31Z
dc.date.available2015-12-16T15:54:31Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100303
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 104-106).en_US
dc.description.abstractMachine-gradable assessments in online education platforms are currently limited to questions that require only keyboard or mouse input, and grading efforts generally focus only on final answers. Some types of problems in the science, technology, engineering, and math (STEM) domain, however, are most naturally answered through sketches drawn with a pen. We introduce a simple graph problem type that accepts solutions drawn using a stylus as a proof-of-concept extension to online education platforms. Simple graphs have a small number of components (vertices, arrows, and edges only), and we describe a three-step recognition process consisting of segmentation, symbol classication, and domain interpretation for converting users' pen strokes into a simple graph object representation. An experiment run on Mechanical Turk demonstrates the usability of our trained, recognition-driven drawing interface, and examples of simple graph problems illustrate how course developers can not only check students' final answers but also provide students with intermediate feedback.en_US
dc.description.statementofresponsibilityby Katharine M. Daly.en_US
dc.format.extent106 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleHand-drawn graph problems in online educationen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc930711715en_US


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