ABSTRACT
Smartphones have had a rapid rise. From the first affordable mobile phones to modern high-tech devices, they have become ever more complex and increasingly popular. In 2016, almost 100% of the 12 to 19 years-old youths in Germany owned a smartphone and used it regularly. Considering their large impact on adolescents' lives, smartphones are uniquely suited to be analyzed as examples of socio-technical computing systems in secondary computing education. Moreover, they play an increasing role in digital media education in all school subjects. There is however, among other things, a lack of scientific work covering learners' conceptions of smartphones needed for learner-centered computing education with and about smartphones. This article describes an explorative study that investigated secondary school learners' conceptions in the context of smartphones. A first overview of existing conceptions regarding selected aspects of smartphones was derived from eight semi-structured interviews.
- P. Alasuutari, L. Bickman, and J. Brannen. 2008. The SAGE Handbook of Social Research Methods. SAGE Publications, London.Google Scholar
- Association for Computing Machinery, Code.org, Computer Science Teachers Association, Cyber Innovation Center, and National Math and Science Initiative. 2017. K12 Computer Science Framework. (2017). http://www.k12cs.org/Google Scholar
- F. Braun. 2017. Schülervorstellungen von Smartphones. Master's thesis. University of Duisburg-Essen, Essen.Google Scholar
- P. Brichzin. 2014. Überwachung von Smartphone-Kosten. Ein Beispiel für die Aufgabenentwicklung mithilfe von Leitfragen. LOG IN 176/177 (2014), 82--87.Google Scholar
- T. Brinda and I. Diethelm. 2017. Education in the digital networked world. In Proceedings of the IFIP World Congress on Computers in Education (WCCE 2017), M. Webb and A. Tatnall (Eds.). Springer, Cham, Switzerland.Google Scholar
- T. Brinda, H. Puhlmann, and C. Schulte. 2009. 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 '09). ACM Press, New York, USA, 288--292. Google ScholarDigital Library
- L. Buechley. 2010. Questioning Invisibility. IEEE Computer 43, 4 (2010), 84--86. Google ScholarDigital Library
- C. Cox. 2014. An introduction to LTE: LTE, LTE-advanced, SAE, VoLTE and 4G mobile communication. John Wiley & Sons. Google ScholarDigital Library
- Die Bundesregierung der Bundesrepublik Deutschland. 2015. Schneller ins Netz. (2015). https://www.bundesregierung.de/Content/DE/Artikel/2015/10/2015-10-21-breitbandausbau.htmlGoogle Scholar
- I. Diethelm, P. Hubwieser, and R. Klaus. 2012. Students, teachers and phenomena: educational reconstruction for computer science education. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research. ACM Press, New York, USA, 164--173. Google ScholarDigital Library
- I. Diethelm, H. Wilken, and S. Zumbrägel. 2012. An investigation of secondary school students' conceptions on how the Internet works. In Proceedings of the 12th Koli Calling International Conference on Computing Education Research. ACM Press, New York, USA, 67--73. Google ScholarDigital Library
- N. Döring and J. Bortz. 2016. Forschungsmethoden und Evaluation in den Sozial-und Humanwissenschaften. Springer, Berlin Heidelberg.Google Scholar
- R. Duit, H. Gropengießer, U. Kattmann, M. Komorek, and I. Parchmann. 2012. Science education research and practice in Europe. Sense publishers, Chapter The Model of Educational Reconstruction -- a Framework for Improving Teaching and Learning Science, 13--37.Google Scholar
- M. Eisenberg, A. Eisenberg, L. Buechley, and N. Elumeze. 2006. Invisibility Considered Harmful: Revisiting Traditional Principles of Ubiquitous Computing in the Context of Education. In Proceedings of IEEE International Workshop on Wireless, Mobile and Ubiquitous Technologies in Education (WMUTE). Athens, Greece. Google ScholarDigital Library
- Gesellschaft für Informatik. 2016. Bildungsstandards Informatik für die Sek. II. (2016). http://informatikstandards.de/docs/Bildungsstandards_SII.pdfGoogle Scholar
- S. Grover, D. Rutstein, and E. Snow. 2016. What is a Computer: What do Secondary School Students Think?. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education. ACM Press, New York, USA, 564--569. Google ScholarDigital Library
- M. Hammond and P. Rogers. 2007. An investigation of children's conceptualisation of computers and how they work. Education and Information Technologies 12, 1 (2007), 3--15. Google ScholarDigital Library
- M. Heming. 2009. Informatische Bildung mit Mobiltelefonen? Ein Forschungsbericht. In Zukunft braucht Herkunft. 25 Jahre "INFOS -- Informatik und Schule", B. Koerber (Ed.). Köllen, Bonn, 134--145.Google Scholar
- H. Kaur, E. H. Singh, and R. Kashyap. 2016. Vertical Handover for Network Selection in Heterogeneous Network. International Research Journal of Engineering and Technology 8, 3 (2016), 1930--1934.Google Scholar
- J. Magenheim. 2001. Deconstruction of Socio-technical Information Systems with Virtual Exploration Environments as a Method of Teaching Informatics. In Proccedings of ED-MEDIA 2001, World conference on Educational Multimedia, Hypermedia & Telecommunications. Tampere, Finland, 1199ff.Google Scholar
- P. Mayring. 2014. Qualitative content analysis: theoretical foundation, basic procedures and software solution. Klagenfurt.Google Scholar
- Medienpädagogischer Forschungsverbund Südwest. 2016. Jugend, Information, (Multi-) Media. Basisstudie zum Medienumgang 12- bis 19-Jähriger in Deutschland. Technical Report. Stuttgart.Google Scholar
- S. Misoch. 2015. Qualitative Interviews. Walter de Gruyter GmbH, Berlin, Munich, Boston.Google Scholar
- D. Müller. 2011. Fachdidaktisch begründete Auswahl von Informatiksystemen für den Unterrichtseinsatz. In Informatik in Bildung und Beruf. 14. GI-Fachtagung "Informatik und Schule -- INFOS 2011", M. Thomas (Ed.). Köllen, Bonn, 167--176.Google Scholar
- S. Mumtaz. 2002. Children's Conceptions of Information Communications Technology. Education and Information Technologies 7, 2 (2002), 155--168. Google ScholarDigital Library
- M. Papastergiou. 2005. Students' Mental Models of the Internet and Their Didactical Exploitation in Informatics Education. Education and Information Technologies 10, 4 (2005), 341--360. Google ScholarDigital Library
- O. Seifert, T. Sauck, M. Schwarzbach, C. Lerch, M. Weinert, and M. Knobelsdorf. 2013. "Ich glaube, Google ist so was wie eine Vorhalle des Internets" -- Erste Ergebnisse einer qualitativen Untersuchung von Schülervorstellungen von der Suchmaschine Google. In Informatik erweitert Horizonte. 15. GI-Fachtagung "Informatik und Schule" -- INFOS 2013, N. Breier, P. Stechert, and T. Wilke (Eds.). Köllen, Bonn, 45--46.Google Scholar
- J. Sorva. 2013. Notional machines and introductory programming education. ACM Transactions on Computing Education 13, 2 (2013), 8. Google ScholarDigital Library
Index Terms
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