Tampere University of Technology

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Analysis of source code snapshot granularity levels

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationSIGITE 2014 - Proceedings of the 15th Annual Conference on Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages21-26
Number of pages6
ISBN (Electronic)9781450326865
DOIs
Publication statusPublished - 14 Oct 2014
Publication typeA4 Article in a conference publication
Event15th Annual Conference on Information Technology Education, SIGITE 2014 - Atlanta, United States
Duration: 15 Oct 201418 Oct 2014

Conference

Conference15th Annual Conference on Information Technology Education, SIGITE 2014
CountryUnited States
CityAtlanta
Period15/10/1418/10/14

Abstract

Systems that record students' programming process have become increasingly popular during the last decade. The granularity of stored data varies across these systems and ranges from storing the final state, e.g. a solution, to storing fine-grained event streams, e.g. every key-press made while working on a task. Researchers that study such data make assumptions based on the granularity. If no fine-grained data exists, the baseline assumption is that a student proceeds in a linear fashion from one recorded state to the next. In this work, we analyze three different granularities of data; (1) submissions, (2) snapshots (i.e. save, compile, run, test events), and (3) keystroke-events. Our study provides insight on the quantity of lost data when storing data at a specific granularity and shows how the lost data varies depending on previous programming experience and the programming assignment type.

Keywords

  • Data collection, Fine-grained data analysis, Programming education, Programming process, Programming snapshots, Source code, Source code snapshots, Source code submissions