Analyzing students' recontextualization strategies for algorithmic concepts

Jacqueline Nijenhuis-Voogt, Durdane Bayram-Jacobs, Paulien C Meijer, Erik Barendsen

Research output: Chapter in Book/Report/Conference proceedingConference Abstract/Poster in proceedingAcademicpeer-review


Learning to apply fundamental algorithmic concepts in a variety of contexts is a challenge in secondary computer science education. The aim of this ongoing study is to investigate what recontextualization strategies students use and specifically how students recognize what algorithmic concepts they can use in given situations. A card sorting task was developed in which students match algorithmic problems into given categories. Preliminary findings indicate that students experience difficulties with recognizing the underlying algorithms and use mainly surface features to sort the algorithmic problems.
Original languageEnglish
Title of host publicationWiPSCE'19
Subtitle of host publicationProceedings of the 14th Workshop in Primary and Secondary Computing Education
EditorsQuintin Cutts, Torsten Brinda
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450377041
ISBN (Print)9781450377041
Publication statusPublished - 23 Oct 2019
Event14th Workshop in Primary and Secondary Computing Education - Senate Room (University of Glasgow), Glasgow, United Kingdom
Duration: 23 Oct 201925 Oct 2019
Conference number: 14


Workshop14th Workshop in Primary and Secondary Computing Education
Abbreviated titleWiPSCE 2019
Country/TerritoryUnited Kingdom
Internet address


  • Algorithms
  • Card sorting
  • Context
  • Recontextualization
  • Secondary education


Dive into the research topics of 'Analyzing students' recontextualization strategies for algorithmic concepts'. Together they form a unique fingerprint.

Cite this