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Playing PISA with bebras

Published: 05 November 2014 Publication History

Abstract

To test and adopt the methodology of future PISA surveys in Computer Science, we have utilized the Bebras Contest as a test field. We performed latent trait analysis of the questions of the German Bebras contest 2009 to find sets of questions that might measure joint psychometric constructs (competencies). After having identified several sets, we have tested the fit of the mono-parametric Rasch Model and evaluated the distribution of person parameters.

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G. Bamberg, F. Baur, and M. Krapp. Statistik. Oldenbourg, München, 2011.
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V. Dagiene. Bebras International Contest on Informatics and Computer Literacy Criteria for Good Tasks. Lecture notes in computer science, No. 5090 (2008),19--30, 2008.
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P. Hubwieser and A. Mühling. Competency Mining in Large Data Sets - Preparing Large Scale Investigations in Computer Science Education. In Proceedings of the 6th International KDIR -International Conference on Knowledge Discovery and Information Retrieval. Rome, Italy, 21.- 24. October, A. Fred and J. Filipe, Eds. ScitePress, Setúbal, Portugal, to appear, 2014.
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P. Martin-Löf. Exact tests, confidence regions and estimates. In Proceedings of Conference on Foundational Questions in Statistical Inference. (Aarhus, 1973). Memoirs 1. Univ. Aarhus, Aarhus, 121--138, 1974.
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D. Rizopoulos. ltm: An R Package for Latent Variable Modeling and Item Response Analysis. Journal of Statistical Software 17(5), 1--25, 2006.
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J. Rost and C. H. Carstensen. Multidimensional Rasch Measurement via Item Component Models and Faceted Designs. Applied Psychological Measurement 26(1), 42--56, 2002.
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F. Schott and and S. Azizi Ghanbari. Modellierung, Vermittlung und Diagnostik der Kompetenz kompetenzorientiert zu unterrichten - wissenschaftliche Herausforderung und ein praktischer Lösungsversuch. Lehrerbildung auf dem Prüfstand 2, 1, 10--27, 2009.
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T. Seidel and M. Prenzel. Assessment in Large-Scale Studies. In Assessment of competencies in educational contexts, E. Klieme, D. Leutner and J. Hartig, Eds. Hogrefe & Huber Publishers, Toronto, 279--304, 2008.
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Cited By

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  • (2025)The Competent Computational Thinking Test (cCTt): A Valid, Reliable and Gender-Fair Test for Longitudinal CT Studies in Grades 3–6Technology, Knowledge and Learning10.1007/s10758-024-09777-8Online publication date: 25-Jan-2025
  • (2023)PRE-SERVICE TEACHERS AS CURICULLUM DESIGNERS: THE CASE OF BEBRAS TASKSJournal of Technology and Information10.5507/jtie.2023.00615:1(78-94)Online publication date: 20-Oct-2023
  • (2022)Introduction to Computational Thinking with Scratch for Teacher Training for Spanish Primary School Teachers in MathematicsEducation Sciences10.3390/educsci1212089912:12(899)Online publication date: 8-Dec-2022
  • Show More Cited By

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WiPSCE '14: Proceedings of the 9th Workshop in Primary and Secondary Computing Education
November 2014
150 pages
ISBN:9781450332507
DOI:10.1145/2670757
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • FU-BERLIN: Free University Berlin

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2014

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Author Tags

  1. competencies
  2. item response theory
  3. large scale studies
  4. rasch model

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  • Research-article

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WiPSCE '14
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  • FU-BERLIN

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Overall Acceptance Rate 104 of 279 submissions, 37%

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Cited By

View all
  • (2025)The Competent Computational Thinking Test (cCTt): A Valid, Reliable and Gender-Fair Test for Longitudinal CT Studies in Grades 3–6Technology, Knowledge and Learning10.1007/s10758-024-09777-8Online publication date: 25-Jan-2025
  • (2023)PRE-SERVICE TEACHERS AS CURICULLUM DESIGNERS: THE CASE OF BEBRAS TASKSJournal of Technology and Information10.5507/jtie.2023.00615:1(78-94)Online publication date: 20-Oct-2023
  • (2022)Introduction to Computational Thinking with Scratch for Teacher Training for Spanish Primary School Teachers in MathematicsEducation Sciences10.3390/educsci1212089912:12(899)Online publication date: 8-Dec-2022
  • (2022)Comparing the psychometric properties of two primary school Computational Thinking (CT) assessments for grades 3 and 4: The Beginners' CT test (BCTt) and the competent CT test (cCTt)Frontiers in Psychology10.3389/fpsyg.2022.108265913Online publication date: 12-Dec-2022
  • (2022)The Competent Computational Thinking Test: Development and Validation of an Unplugged Computational Thinking Test for Upper Primary SchoolJournal of Educational Computing Research10.1177/0735633122108175360:7(1818-1866)Online publication date: 19-May-2022
  • (2021)How do students develop computational thinking? Assessing early programmers in a maze-based online gameComputer Science Education10.1080/08993408.2021.190324831:2(259-289)Online publication date: 13-Apr-2021
  • (2020)Flipped Learning and Unplugged Activities for Data Structure and Algorithm ClassSoftware Engineering in IoT, Big Data, Cloud and Mobile Computing10.1007/978-3-030-64773-5_8(93-102)Online publication date: 27-Dec-2020
  • (2020)Educational Practices in Computational Thinking: Assessment, Pedagogical Aspects, Limits, and Possibilities: A Systematic Mapping StudyComputer Supported Education10.1007/978-3-030-58459-7_21(442-466)Online publication date: 10-Nov-2020
  • (2020)Computational Thinking Skills in Primary Teachers: Evaluation Using BebrasComputer Science – CACIC 201910.1007/978-3-030-48325-8_26(405-415)Online publication date: 14-May-2020
  • (2019)Cognitive Correlates of Computational ThinkingProceedings of the 14th Workshop in Primary and Secondary Computing Education10.1145/3361721.3361729(1-9)Online publication date: 23-Oct-2019
  • Show More Cited By

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