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Methods and Applications of Informatics and Information Technology

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Volume 60, Issue 2

Issues

Empowering learners with tools in CS education: Physical computing in secondary schools

Mareen Przybylla
  • Corresponding author
  • Universität Potsdam, Institut für Informatik, August-Bebel-Str. 89, D-14482 Potsdam, Germany
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  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ralf Romeike
Published Online: 2018-03-22 | DOI: https://doi.org/10.1515/itit-2017-0032

Abstract

In computer science, computer systems are both, objects of investigation and tools that enable creative learning and design. Tools for learning have a long tradition in computer science education. Already in the late 1960s, Papert developed a concept which had an immense impact on the development of informal education in the following years: his theory of constructionism understands learning as a creative process of knowledge construction that is most effective when learners create something purposeful that they can try out, show around, discuss, analyse and receive praise for. By now, there are numerous learning and programming environments that are based on the constructionist ideas. Modern tools offer opportunities for students to learn in motivating ways and gain impressive results in programming games, animations, implementing 3D models or developing interactive objects. This article gives an overview of computer science education research related to tools and media to be used in educational settings. We analyse different types of tools with a special focus on the categorization and development of tools for student adequate physical computing activities in the classroom. Research around the development and evaluation of tools and learning resources in the domain of physical computing is illustrated with the example of “My Interactive Garden”, a constructionist learning and programming environment. It is explained how the results from empirical studies are integrated in the continuous development of the learning material.

Keywords: tools; media; resources; computer science education; physical computing

Literature

  • 1.

    I. Diethelm, P. Hubwieser and R. Klaus: Students, Teachers and Phenomena: Educational Reconstruction for Computer Science Education. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research (pp. 164–173). Koli, Finland: ACM, 2012.Google Scholar

  • 2.

    T. Brinda, H. Puhlmann and C. Schulte: Bridging ICT and CS: Educational Standards for Computer Science in Lower Secondary Education. In Proceedings of the 14th Annual ACM SIGCSE Conference on Innovation and Technology in Computer Science Education (pp. 288–292). New York, NY, USA: ACM, 2009.Google Scholar

  • 3.

    Gesellschaft für Informatik e.V.: Bildungsstandards Informatik für die Sekundarstufe II [Educational standards for computer science in upper secondary education]. LOG IN 36(183/184), supplement (2016).

  • 4.

    P. Gross and K. Powers: Work in progress-a meta-study of software tools for introductory programming. In Proc., IEEE, 2006.Google Scholar

  • 5.

    A. Grillenberger, M. Przybylla and R. Romeike: Bringing CS Innovations to the Classroom Using the Model of Educational Reconstruction. In A. Brodnik & F. Tort (Eds), Proceedings of 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2016 (pp. 31–39). Münster, 2016.Google Scholar

  • 6.

    A. Grillenberger and R. Romeike: Analyzing the Twitter Data Stream Using the Snap! Learning Environment. In Informatics in Schools. Curricula, Competences, and Competitions. ISSEP 2015 (pp. 155–164). Springer, 2015.Google Scholar

  • 7.

    P. Heimann, G. Otto and W. Schulz: Unterricht: Analyse und Planung (10th ed.) Hannover: Schroedel, 1979.Google Scholar

  • 8.

    P. Kastl, O. Krisch and R. Romeike: 3D Printing as Medium for Motivation and Creativity in Computer Science Lessons. In V. Dagiene & A. Hellas (Eds), Informatics in Schools: Focus on Learning Programming. ISSEP 2017 (Vol. 10696, pp. 27–36). Cham: Springer, 2017.Google Scholar

  • 9.

    C. Kelleher and R. Pausch: Lowering the barriers to programming: A Taxonomy of Programming Environments and Languages for Novice Programmers. ACM Computing Surveys, 37(2), 83–137, 2005.CrossrefGoogle Scholar

  • 10.

    D. O’Sullivan and T. Igoe, Physical Computing: Sensing and Controlling the Physical World with Computers. Boston: Thomson Course Technology PTR, 2004.Google Scholar

  • 11.

    S. Papert.: Mindstorms: children, computers, and powerful ideas. New York: Basic Books, 1980.Google Scholar

  • 12.

    S. Papert: The connected family: Building the digital general gap. Atlanta, GA: Long St. Pr., 1996.

  • 13.

    S. Papert and I. Harel: Situating Constructionism. In S. Papert & I. Harel (Eds), Constructionism Norwood, N.J.: Ablex Publishing, 1991.Google Scholar

  • 14.

    A. Pears, S. Seidman, L. Malmi, L. Mannila, E. Adams, J. Bennedsen, M. Devlin and J. Paterson: A Survey of Literature on the Teaching of Introductory Programming. In Working Group Reports on ITiCSE on Innovation and Technology in Computer Science Education (pp. 204–223). New York, NY, USA: ACM, 2007.Google Scholar

  • 15.

    M. Przybylla and R. Romeike: My Interactive Garden – A Constructionist Approach to Creative Learning with Interactive Installations in Computing Education. In C. Kynigos, J. E. Clayson, & N. Yiannoutsou (Eds), Constructionism: Theory, Practice and Impact. Proceedings of Constructionism 2012 (pp. 395–404). 2012.Google Scholar

  • 16.

    M. Przybylla and R. Romeike: Overcoming Issues with Students’ Perceptions of Informatics in Everyday Life and Education with Physical Computing – Suggestions for the Enrichment of Computer Science Classes. In ISSEP 2014 – 7th Conference on Informatics in Schools: Situation, Evolution and Perspectives (pp. 9–20). 2014.Google Scholar

  • 17.

    M. Przybylla and R. Romeike: Key Competences with Physical Computing. In Proceedings of Key Competencies in Informatics and ICT (KEYCIT) 2014. Potsdam: Universitätsverlag Potsdam, 2014.Google Scholar

  • 18.

    M. Przybylla and R. Romeike: Concept-Maps als Mittel zur Visualisierung des Lernzuwachses in einem Physical-Computing-Projekt. In J. Gallenbacher (Ed.), Informatik allgemeinbildend begreifen – INFOS2015 (pp. 247–256). Darmstadt: Gesellschaft für Informatik (GI), 2015.Google Scholar

  • 19.

    M. Przybylla: Physical Computing for Novices: Using the TinkerKit with Snap4Arduino. In A. Brodnik & F. Tort (Eds), Proceedings of 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP 2016) (pp. 74–75). Münster, 2016.Google Scholar

  • 20.

    M. Przybylla, P. Israel, J. Streichert and R. Romeike: Bridging Motivation Gaps with Physical Computing in CS Education. In ISSEP 2016 (p. 53). 2016.Google Scholar

  • 21.

    M. Przybylla and R. Romeike: Von Eingebetteten Systemen zu Physical Computing: Grundlagen für Informatikunterricht in der digitalen Welt. In I. Diethelm (Ed.), Informatische Bildung zum Verstehen und Gestalten der digitalen Welt (pp. 257–266). Bonn: Lecture Notes in Informatics (LNI), 2017.Google Scholar

  • 22.

    M. Przybylla and R. Romeike: The Nature of Physical Computing in Schools. In Proceedings of 17th Koli Calling International Conference on Computing Education Research (in print). Koli, Finland: ACM2017.

  • 23.

    M. Przybylla, F. Henning, C. Schreiber, and R. Romeike: Teachers’ Expectations and Experience in Physical Computing. In V. Dagiene & A. Hellas (Eds), The 10th International Conference on Informatics in Schools (in print). Helsinki, Finland: Springer, 2017.Google Scholar

  • 24.

    A. Ruf, A. Mühling and P. Hubwieser: Scratch vs. Karel: impact on learning outcomes and motivation. In Proceedings of the 9th Workshop in Primary and Secondary Computing Education (pp. 50–59). ACM, 2014.Google Scholar

  • 25.

    M. Richards, M. Petre and A. K. Bandara: Starting with UbiComp: Using the SenseBoards to Introduce Computing (pp. 583–588). Raleigh: ACM, 2012.

  • 26.

    R. Romeike and D. Reichert: PicoCrickets als Zugang zur Informatik in der Grundschule (pp. 177–186). Münster: Gesellschaft für Informatik (GI), 2011.

  • 27.

    N. Rusk, M. Resnick, R. Berg and M. Pezalla-Granlund: New Pathways into Robotics: Strategies for Broadening Participation. Journal of Science Education and Technology, 17(1), 59–69, 2008.CrossrefWeb of ScienceGoogle Scholar

  • 28.

    M. Resnick and B. Silverman: Some reflections on designing construction kits for kids. In: Proceedings of the 2005 conference on Interaction design and children (pp. 117–122). New York, NY, USA: ACM, 2005.Google Scholar

  • 29.

    S. Sentance, J. Waite, S. Hodges, E. Macleod and L. Yeomans: “Creating cool stuff” – Pupils’ experience of the BBC micro:bit. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (pp. 531–536). 2017.Google Scholar

  • 30.

    M. Uljens: School didactics and learning. Psychology Press Ltd, 1998.Google Scholar

  • 31.

    M. Wilde, K. Bätz, A. Kovaleva and D. Urhahne: Überprüfung einer Kurzskala intrinsischer Motivation (KIM) (Testing a short scale of intrinsic motivation). Zeitschrift Für Didaktik Der Naturwissenschaften, 15, 31–45, 2009.Google Scholar

  • 32.

    P. Blikstein: Gears of Our Childhood: Constructionist Toolkits, Robotics, and Physical Computing, Past and Future. In J. P. Hourcade, E. A. Miller, & A. Egeland (Eds), Proceedings of the 12th International Conference on Interaction Design and Children (pp. 173–182). New York City: ACM, 2013.Google Scholar

About the article

Mareen Przybylla

Mareen Przybylla is research associate and doctoral student at the professorship for Didactics of Computer Science at the University of Potsdam, Germany. Her main research interest is physical computing in computer science education.

Ralf Romeike

Ralf Romeike is the head of the Computing Education Research Group at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany.


Received: 2017-10-16

Revised: 2018-01-19

Accepted: 2018-02-05

Published Online: 2018-03-22

Published in Print: 2018-04-25


Citation Information: it - Information Technology, Volume 60, Issue 2, Pages 91–101, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2017-0032.

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