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dc.contributor.advisorMiller, Rob
dc.contributor.authorJohanna, Stacia Edina
dc.date.accessioned2022-08-29T16:11:50Z
dc.date.available2022-08-29T16:11:50Z
dc.date.issued2022-05
dc.date.submitted2022-05-27T16:19:30.743Z
dc.identifier.urihttps://hdl.handle.net/1721.1/144790
dc.description.abstractLearning a new programming language is best done through coding exercises. However, manually creating coding exercises is time-consuming because there are many language syntax and concepts to cover. PraxisGen aims to alleviate the burden of problem creation by providing an interface to search, simplify, and annotate publicly available code to be used as exercises. By using the system, the user can create code examples for language concepts that represent real-life programs more efficiently because the system automates some parts of the process. The technical evaluation proves the ability of PraxisGen in finding a wide variety of language concepts, while the user study demonstrates that the system makes the process of creating high-quality exercise problems simpler.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleGenerating Coding Exercises for Language Concepts by Searching, Simplifying, and Annotating Existing Code
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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