Student Modeling Based on Fine-Grained Programming Process Snapshots
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dc.contributor.author |
Leinonen, Juho |
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dc.date.accessioned |
2020-06-10T09:46:01Z |
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dc.date.available |
2020-06-10T09:46:01Z |
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dc.date.issued |
2017-08-14 |
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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 |
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dc.identifier.citation |
conference |
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dc.identifier.other |
PURE: 98012656 |
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dc.identifier.other |
PURE UUID: 2b0c60b8-ae45-47e9-ac45-9f2ab6f978f4 |
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dc.identifier.other |
Scopus: 85030150845 |
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dc.identifier.other |
WOS: 000426498000036 |
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dc.identifier.other |
ORCID: /0000-0001-6829-9449/work/41401056 |
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dc.identifier.uri |
http://hdl.handle.net/10138/316008 |
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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 |
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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 |
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dc.language.iso |
eng |
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dc.relation.ispartof |
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dc.rights.uri |
info:eu-repo/semantics/openAccess |
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dc.subject |
113 Computer and information sciences |
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dc.subject |
516 Educational sciences |
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dc.title |
Student Modeling Based on Fine-Grained Programming Process Snapshots |
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dc.type |
Poster |
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dc.contributor.organization |
Department of Computer Science |
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dc.description.reviewstatus |
Peer reviewed |
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dc.relation.doi |
https://doi.org/10.1145/3105726.3105732 |
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dc.rights.accesslevel |
openAccess |
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dc.type.version |
acceptedVersion |
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