Student Modeling Based on Fine-Grained Programming Process Snapshots

Research output: Conference materialsPosterResearchpeer-review

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.
Original languageEnglish
Pages273-274
Number of pages2
DOIs
Publication statusPublished - 14 Aug 2017
EventThe ICER 2017 Doctoral Consortium - Tacoma, WA, United States
Duration: 17 Aug 201717 Aug 2017

Conference

ConferenceThe ICER 2017 Doctoral Consortium
CountryUnited States
CityTacoma, WA
Period17/08/201717/08/2017

Fields of Science

  • 113 Computer and information sciences
  • 516 Educational sciences

Cite this

Leinonen, J. (2017). Student Modeling Based on Fine-Grained Programming Process Snapshots. 273-274. Poster session presented at The ICER 2017 Doctoral Consortium, Tacoma, WA, United States. https://doi.org/10.1145/3105726.3105732
Leinonen, Juho. / Student Modeling Based on Fine-Grained Programming Process Snapshots. Poster session presented at The ICER 2017 Doctoral Consortium, Tacoma, WA, United States.2 p.
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author = "Juho Leinonen",
note = "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; The ICER 2017 Doctoral Consortium ; Conference date: 17-08-2017 Through 17-08-2017",
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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

Student Modeling Based on Fine-Grained Programming Process Snapshots. / Leinonen, Juho.

2017. 273-274 Poster session presented at The ICER 2017 Doctoral Consortium, Tacoma, WA, United States.

Research output: Conference materialsPosterResearchpeer-review

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AB - 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.

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Leinonen J. Student Modeling Based on Fine-Grained Programming Process Snapshots. 2017. Poster session presented at The ICER 2017 Doctoral Consortium, Tacoma, WA, United States. https://doi.org/10.1145/3105726.3105732