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Big Data – Challenges for Computer Science Education

  • Conference paper
Book cover Informatics in Schools. Teaching and Learning Perspectives (ISSEP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8730))

Abstract

Data processing is a central topic of computer science and hence also in secondary computer science education, which includes strategies for storing, managing and retrieving data. In the context of Big Data, this field changes tremendously: established ideas, such as avoiding redundancies and storing data in a persistent and consistent way, are dropped in order to speed up the access to distributed stored data as well as its availability. Furthermore, with the rapidly growing impact of data processing on everyone’s daily life, computer science education needs to address these aspects as well as their social and ethical implications, such as privacy issues.

This paper points out the major challenges that arise from the outlined developments by evaluating whether database concepts and examples commonly used in CS education need to be updated.

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References

  1. Antonitsch, P.K.: Databases as a Tool of General Education. In: Mittermeir, R.T. (ed.) ISSEP 2006. LNCS, vol. 4226, pp. 59–70. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  2. Barbaro, M., Zeller, Jr., T.: A Face Is Exposed for AOL Searcher No. 4417749. (August 2006), http://www.nytimes.com/2006/08/09/technology/09aol.html

  3. Bodendorf, F.: Daten- und Wissensmanagement [Data and Knowledge Management]. Springer-Lehrbuch, Springer (2005)

    Google Scholar 

  4. Brewer, E.: CAP twelve years later: How the “rules” have changed. Computer 45(2), 23–29 (2012)

    Article  Google Scholar 

  5. Brinda, T., Puhlmann, H., Schulte, C.: 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, ITiCSE 2009. ITiCSE ’09, pp. 288–292. ACM, New York (2009)

    Google Scholar 

  6. Bundesministerium für Unterricht, Kultus und Kultur: Lehrplan der AHS-Oberstufe, Fach Informatik, Pflichtgegenstände [Curriculum for the Austrian Secondary School, Subject “Informatics”, compulsory topics], http://www.bmukk.gv.at/medienpool/11866/lp_neu_ahs_21.pdf

  7. Bundesministerium für Unterricht, Kultus und Kultur: Lehrplan der AHS-Oberstufe, Fach Informatik, Wahlpflichtgegenstände [Curriculum for the Austrian Secondary School, Subject “Informatics”, compulsory topics], http://www.bmukk.gv.at/medienpool/11876/lp_neu_ahs_21.pdf

  8. DAMA International: The DAMA Guide to the Data Management Body of Knowledge - DAMA-DMBOK. Technics Publications, LLC, USA (2009)

    Google Scholar 

  9. Davenport, T.H., Patil, D.J.: Data scientist: the sexiest job of the 21st century. Harvard Business Review 90(10), 70–77 (2012)

    Google Scholar 

  10. Denning, P.J.: Great Principles of Computing. Commun. ACM 46(11), 15–20 (2003)

    Article  Google Scholar 

  11. Edlich, S., Friedland, A., Hampe, J., Brauer, B., Brückner, M.: NoSQL [in German]. Hanser, Carl Gmbh + Co. (2011)

    Book  Google Scholar 

  12. Elmasri, R., Navathe, S.: Fundamentals of Database Systems. Addison Wesley Publishing Company Incorporated (2011)

    Google Scholar 

  13. GI (Gesellschaft für Informatik e.V.): Handlungsempfehlungen an die politischen Akteure [Recommendations for action at the Political Actors], Big Data Days (2013), http://www.gi.de/fileadmin/redaktion/Hauptstadtbuero/Handlungsempfehlungen.pdf

  14. Grillenberger, A., Brinda, T.: eledSQL: A New Web-based Learning Environment for Teaching Databases and SQL at Secondary School Level. In: Proceedings of the 7th Workshop in Primary and Secondary Computing Education, WiPSCE 2012, pp. 101–104. ACM, New York (2012)

    Chapter  Google Scholar 

  15. ISB (Staatsinstitut für Schulqualität und Bildungsforschung): Informatik am Naturwissenschaftlich-technologischen Gymnasium, Jahrgangsstufe 9 (Handreichung) [Informatics at the Scientifiy-Technological Secondary School in Bavaria (Recommendations)] (2007)

    Google Scholar 

  16. ISB (Staatsinstitut für Schulqualität und Bildungsforschung): Lehrplan für das Gymnasium in Bayern, Fach Natur und Technik [Curriculum for the Bavarian Secondary School, Subject “Informatics”, Scientific & Technical Branch] (2009)

    Google Scholar 

  17. Kemper, A., Eickler, A.: Datenbanksysteme: eine Einführung [Database Systems: An Introduction]. Oldenbourg (2006)

    Google Scholar 

  18. Laney, D.: 3D Data Management: Controlling Data Volume, Velocity, and Variety. Tech. rep., META Group (February 2001)

    Google Scholar 

  19. Luukkainen, M., Vihavainen, A., Vikberg, T.: Three Years of Design-based Research to Reform a Software Engineering Curriculum. In: Proceedings of the 13th Annual Conference on Information Technology Education, SIGITE 2012, pp. 209–214. ACM, New York (2012)

    Google Scholar 

  20. Sadiq, S., Orlowska, M., Sadiq, W., Lin, J.: SQLator: An Online SQL Learning Workbench. In: Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2004, pp. 223–227. ACM, New York (2004)

    Google Scholar 

  21. Schwill, A.: Fundamental ideas of computer science. Bull. European Assoc. for Theoretical Computer Science 53 (1994)

    Google Scholar 

  22. Seehorn, D., Carey, S., Fuschetto, B., Lee, I., Moix, D., O’Grady-Cunniff, D., Boucher Owens, B., Stephenson, C., Verno, A.: K–12 Computer Science Standards. Computer Science Teachers Association, Association for Computing Machinery (2011)

    Google Scholar 

  23. Strozzi, C.: NoSQL: a non-SQL RDBMS (1998), http://www.strozzi.it/cgi-bin/CSA/tw7/I/en_US/nosql/

  24. Tucker, A., Deek, F., Jones, J., McCowan, D., Stephenson, C., Verno, A.: A Model Curriculum for K–12 Computer Science. Final Report of the ACM K-12 Task Force Curriculum Committee, CSTA (2003), https://www.acm.org/education/education/curric_vols/k12final1022.pdf

  25. UNESCO/IFIP: Information and Communication Technology in Secondary Education (2000), http://wwwedu.ge.ch/cptic/prospective/projets/unesco/en/

  26. Witten, H.: Datenbanken - (k)ein Thema im Informatikunterricht? [Databases - No Topic in Computer Science Education?]. LOG IN 2 (1994)

    Google Scholar 

  27. World Economic Forum: Personal Data: The Emergence of a New Asset Class (2011), http://www3.weforum.org/docs/WEF_ITTC_PersonalDataNewAsset_Report_2011.pdf

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Author information

Authors and Affiliations

  1. Department of Computer Science, Computing Education Research Group, Friedrich–Alexander–Universität Erlangen–Nürnberg (FAU), Martensstr. 3, 91058, Erlangen, Germany

    Andreas Grillenberger & Ralf Romeike

Authors
  1. Andreas Grillenberger
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  2. Ralf Romeike
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Editor information

Editors and Affiliations

  1. Department of Informatics, Ankara University, Fatih Cad. No: 33, 06110, Ankara, Turkey

    Yasemin Gülbahar  & Erinç Karataş  & 

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Grillenberger, A., Romeike, R. (2014). Big Data – Challenges for Computer Science Education. In: Gülbahar, Y., Karataş, E. (eds) Informatics in Schools. Teaching and Learning Perspectives. ISSEP 2014. Lecture Notes in Computer Science, vol 8730. Springer, Cham. https://doi.org/10.1007/978-3-319-09958-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-09958-3_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09957-6

  • Online ISBN: 978-3-319-09958-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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