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A Two-Dimensional Classification Model for the Bebras Tasks on Informatics Based Simultaneously on Subfields and Competencies

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Informatics in Schools. Engaging Learners in Computational Thinking (ISSEP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12518))

Abstract

The Bebras challenge on informatics originated 15 years ago, by now involves over 60 countries, and consists of short problem-solving tasks based on informatics (computing, computer science) and computational thinking. This paper deals with learning taxonomies and models that do not focus merely on partitioning computer science into its subareas, but rather on competencies that the learners can reach by working with information, data, algorithms, and automation processes. The contribution of this paper is a new concept for classifying tasks that also offers new ideas for generating tasks and which is used for creating spiral curricula for teaching informatics. One advantage of our approach is that the classes are not mutually exclusive, which reflects the fact that a task can support the development of different competencies in several areas. This allows to specify the benefits of working on a given task much more precisely and can thus help teachers to design and choose adequate tasks. Another advantage of this approach is the inclusion of important competencies that are not subject specific but are nevertheless important for the holistic development of school education. In addition, the proposed model can be used to develop informatics tasks (assignments), that are not only described by the topics to be covered, but also in competencies for the learners to reach.

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References

  1. Wing, J.M.: Computational thinking. Commun. ACM 49(3), 33–35 (2006)

    Article  Google Scholar 

  2. Denning, P.J., Tedre, M.: Computational Thinking. The MIT Press, Cambridge (2019)

    Book  Google Scholar 

  3. Hromkovic, J.: Homo informaticus – why computer science fundamentals are an unavoidable part of human culture and how to teach them. Olympiads Inform. 10, 99–109 (2016)

    Article  Google Scholar 

  4. Grover, S., Pea, R.: Computational thinking in K-12: a review of the state of the field. Educ. Res. 42(1), 38–43 (2013)

    Article  Google Scholar 

  5. Heintz, F., Mannila, L., Färnqvist, T.: A review of models for introducing computational thinking, computer science and computing in K-12 education. In: IEEE Frontiers in Education Conference (FIE) (2016)

    Google Scholar 

  6. Garneli, V., Giannakos, M., Chorianopoulos, K.: Computing education in K-12 schools: a review of the literature. In: IEEE Global Engineering Education Conference, pp. 543–551 (2015)

    Google Scholar 

  7. Bell, T., Alexander, J., Freeman, I., Grimley, M.: Computer science unplugged: school students doing real computing without computers. New Zealand J. Appl. Comput. Inf. Technol. 13(1), 20–29 (2009)

    Google Scholar 

  8. Hromkovic, J., Lacher, R., et al.: Einfach Informatik. Series of 19 textbooks for teaching informatics from kindergarten to high school. Klett and Balmer (2018–2021) (in German)

    Google Scholar 

  9. Hromkovič, J., Lacher, R.: The computer science way of thinking in human history and consequences for the design of computer science curricula. In: Dagiene, V., Hellas, A. (eds.) ISSEP 2017. LNCS, vol. 10696, pp. 3–11. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-71483-7_1

    Chapter  Google Scholar 

  10. Dagiene, V., Stupuriene, G.: Bebras – a sustainable community building model for the concept based learning of informatics and computational thinking. Inform. Educ. 15(1), 25–44 (2016)

    Article  Google Scholar 

  11. Anderson, L.W., et al.: A Taxonomy for Learning and Teaching and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Addison Wesley Longman, Inc., Boston (2001)

    Google Scholar 

  12. Mayring P.: Qualitative content analysis. Forum: Qual. Soc. Res. 1(2). Retrieved from http://www.qualitative-research.net/index.php/fqs/article/view/1089. Accessed Sept 2020

  13. Biggs, J.B., Collis, K.F.: Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome). Academic Press, New York (1982)

    Google Scholar 

  14. Klieme, E., Hartig, J., Rauch, D.: The concept of competence in educational contexts. In: Hartig, J., Klieme, E., Leutner, D. (eds.) Assessment of Competencies in Educational Contexts, pp. 3–22. Hogrefe, Göttingen (2008)

    Google Scholar 

  15. Frezza, S., et al.: Modelling competencies for computing education beyond 2020. In: Proceedings of the Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 148–174. ACM (2018)

    Google Scholar 

  16. Schlüter, K., Brinda, T.: From exercise characteristics to competence dimensions exemplified by theoretical computer science in secondary education. In: Proceedings of the Joint Open and Working IFIP Conference on ICT and Learning for the Net Generation, Malaysia (2008)

    Google Scholar 

  17. PISA Organization for Economic Co-operation and Development: Preparing Our Youth for an Inclusive and Sustainable World: The OECDPISA Global Competency Framework (2018). Retrieved from http://www.oecd.org/pisa/pisa-2018-global-competence.htm

  18. Gesellschaft für Informatik (GI): Bildungsstandards Informatik fürdie Sekundarstufe II (2016). Retrieved from https://dl.gi.de/bitstream/handle/20.500.12116/2350/57-GI-Empfehlung-Bildungsstandards-Informatik-SekII.pdf . Accessed Sept 2020

  19. Kramer, M., Hubwieser, P., Brinda, T.: A competency structure model of object-oriented programming. In: International Conference on Learning and Teaching in Computing and Engineering (LaTICE). IEEE-CS, Mumbai, India, pp. 1–8 (2016)

    Google Scholar 

  20. Havenga, M., Mentz, E., De Villiers, R.: Knowledge, skills and strategies for successful object-oriented programming: a proposed learning repertoire. South Afr. Comput. J. SACLA, Spec. Ed. 42, 1–8 (2008)

    Google Scholar 

  21. Dagienė, V., Sentance, S.: It’s computational thinking! Bebras tasks in the curriculum. In: Brodnik, A., Tort, F. (eds.) ISSEP 2016. LNCS, vol. 9973, pp. 28–39. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46747-4_3

    Chapter  Google Scholar 

  22. Dagiene, V., Futschek, G., Stupuriene, G.: Teachers’ constructionist and deconstructionist learning by creating Bebras tasks. In: Sipitakiat, A., Tutiyaphuengprasert, N. (eds.) Constructionism in Action, pp. 257–264. Suksapattana Foundation, Bangkok (2016)

    Google Scholar 

  23. Dagienė, V., Futschek, G.: Bebras international contest on informatics and computer literacy: criteria for good tasks. In: Mittermeir, R.T., Sysło, M.M. (eds.) ISSEP 2008. LNCS, vol. 5090, pp. 19–30. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69924-8_2

    Chapter  Google Scholar 

  24. Vaníček, J.: Bebras informatics contest: criteria for good tasks revised. In: Gülbahar, Y., Karataş, E. (eds.) ISSEP 2014. LNCS, vol. 8730, pp. 17–28. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09958-3_3

    Chapter  Google Scholar 

  25. Opmanis, M., Dagiene, V., Truu, A.: Task types at “Beaver” contests. Inf. Technol. Sch. 509–519 (2006). DOI:ISIP:BFP69-509

    Google Scholar 

  26. Lonati, V., Malchiodi, D., Monga, M., Morpurgo, A.: Bebras as a teaching resource: classifying the tasks corpus using computational thinking skills. In: Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, pp. 366–366, ACM (2017)

    Google Scholar 

  27. Pohl, W., Westmeyer, J.: Content categories for informatics tasks. LNCS, vol. 9378, p. 61 (2015)

    Google Scholar 

  28. Tomcsányiová, M., Tomcsányi, P.: Little beaver – a new Bebras contest category for children aged 8–9. In: Kalaš, I., Mittermeir, R.T. (eds.) ISSEP 2011. LNCS, vol. 7013, pp. 201–212. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24722-4_18

    Chapter  Google Scholar 

  29. Dagiene, V., Sentance, S., Stupurienė, G.: Developing a two-dimensional categorization system for educational tasks in informatics. Informatica 28(1), 23–44 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Data Science and Information Technologies, Vilnius University, Vilnius, Lithuania

    Valentina Dagiene

  2. ETH Zürich, Zurich, Switzerland

    Juraj Hromkovic & Regula Lacher

Authors
  1. Valentina Dagiene
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  2. Juraj Hromkovic
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  3. Regula Lacher
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Corresponding authors

Correspondence to Valentina Dagiene , Juraj Hromkovic or Regula Lacher .

Editor information

Editors and Affiliations

  1. Tallinn University, Tallinn, Estonia

    Külli Kori

  2. Tallinn University, Tallinn, Estonia

    Mart Laanpere

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Dagiene, V., Hromkovic, J., Lacher, R. (2020). A Two-Dimensional Classification Model for the Bebras Tasks on Informatics Based Simultaneously on Subfields and Competencies. In: Kori, K., Laanpere, M. (eds) Informatics in Schools. Engaging Learners in Computational Thinking. ISSEP 2020. Lecture Notes in Computer Science(), vol 12518. Springer, Cham. https://doi.org/10.1007/978-3-030-63212-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-63212-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63211-3

  • Online ISBN: 978-3-030-63212-0

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