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Student Modeling Based on Fine-Grained Programming Process Snapshots

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dc.contributor.author Leinonen, Juho
dc.date.accessioned 2020-06-10T09:46:01Z
dc.date.available 2020-06-10T09:46:01Z
dc.date.issued 2017-08-14
dc.identifier.citation Leinonen , J 2017 , ' Student Modeling Based on Fine-Grained Programming Process Snapshots ' , The ICER 2017 Doctoral Consortium , Tacoma, WA , United States , 17/08/2017 - 17/08/2017 pp. 273-274 . https://doi.org/10.1145/3105726.3105732
dc.identifier.citation conference
dc.identifier.other PURE: 98012656
dc.identifier.other PURE UUID: 2b0c60b8-ae45-47e9-ac45-9f2ab6f978f4
dc.identifier.other Scopus: 85030150845
dc.identifier.other WOS: 000426498000036
dc.identifier.other ORCID: /0000-0001-6829-9449/work/41401056
dc.identifier.uri http://hdl.handle.net/10138/316008
dc.description ICER '17 Proceedings of the 2017 ACM Conference on International Computing Education Research. New York, NY, USA : ACM, 2017 ISBN: 978-1-4503-4968-0
dc.description.abstract I am studying the use of fine-grained programming process data for student modeling. The initial plan is to construct different types of program state representations such as Abstract Syntax Trees (ASTs) from the data. These program state representations could be used for both automatically inferring knowledge components that the students are trying to learn as well as for modeling students' knowledge on those specific components. en
dc.format.extent 2
dc.language.iso eng
dc.relation.ispartof
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.subject 516 Educational sciences
dc.title Student Modeling Based on Fine-Grained Programming Process Snapshots en
dc.type Poster
dc.contributor.organization Department of Computer Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1145/3105726.3105732
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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