The Didactic-Technology Challenges for Design of the Computer Supported Collaborative Teaching

  • Stefan SvetskyEmail author
  • Oliver Moravcik
  • Pavol Tanuska
  • Zuzana Cervenanska
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 916)


A design of the Computer Supported Collaborative Learning (CSCL) represents a big challenge from an informatics point of view. In general, any computer support of teaching requires existing didactic algorithms for design of the informatics algorithms and writing programming codes. In comparison with technical processes, which are well-standardized, due to the complexity of teaching processes, such algorithms are missing. Moreover, the computer support of collaborative activities requires using the virtual spaces of servers, networks and clouds. Additionally, the lifetime of software and hardware is too short for supporting long-life learning. Contextually, a complex, didactic-technology approach is not researched enough within the fields such as technology-enhanced learning (TEL) or educational technology. This paper presents the authors’ didactic-informatics approach related to these challenges. It is based on developing the in-house education-specific software, knowledge representation, personalized IT infrastructure, and a specific way of solving the knowledge transmission between off-line and online environments to support collaborative activities of teachers and researchers. This complex personalized approach seems to be beyond the state-of-the-art (e.g., a utility model is used).


Computer supported collaborative learning Long-life learning Technology-enhanced learning Educational technology Knowledge transmission 



This research work was supported by the financial resources from the International Visegrad Fund’s Strategic Grant No. 21810100 “V4 + Academic Research Consortium for integration of databases, robotics and languages technologies”. The academic consortium started within the previous ICL Conference in Budapest (2017).


  1. 1.
    Goodman, S.P., et al.: Technology-Enhanced Learning: Opportunities for Change, p. 2002. Laurence Erlbaum Associates, Mahwah, NJ, USA (2002)Google Scholar
  2. 2.
    Balacheff, N., Ludvigsen, S., Jong, T, Lazonder, A., Barnes, S. (eds.): Technology - Enhanced Learning. Principles and Products. Springer, XXVI, 326 p (2009)Google Scholar
  3. 3.
    Martens, A.: Software engineering and modelling in TEL (2014). In: Huang, R., Kinshuk, N.-S.C. (eds.) Book: The New Development of Technology Enhanced Learning Concept, Research and Best Practices, pp. 27–40. Springer (2014)Google Scholar
  4. 4.
    Laurillard, D.: Digital technologies and their role in achieving our ambitions for education (2018).
  5. 5.
    Johnson, L., Adams Becker, S., Estrada, V., Freeman, A.: NMC Horizon Report: 2015 Higher Education Edition. The New Media Consortium, Austin, Texas (2015)Google Scholar
  6. 6.
    Nápoles, C.L.P., Montandon, L. (eds.): D 1.1.2 Emerging Technologies Landscape: Report on Field Research Results. Public report final 7-30/4/2013-M7 audience. HoTEL (2013). [cit. 2014-07-15]Google Scholar
  7. 7.
    Smith, B.K., Borge, M., Mercier, E., Lim, K.Y. (eds.).: Making a difference: prioritizing equity and access in CSCL. In: 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Vol. 2. Philadelphia (2017)Google Scholar
  8. 8.
    Kinchin, I.: Avoiding technology-enhanced non-learning. Br. J. Educ. Technol. 43(2), 43–48 (2012)Google Scholar
  9. 9.
    Weston, C.: The problem with Technology Enhanced Learning. Ed Tech Now Blog (2012).
  10. 10.
    Lundie, D.: Authority, autonomy and automation: the irreducibility of pedagogy to information transactions. Stud. Philos. Educ. 35(3), 279–291 (2016)CrossRefGoogle Scholar
  11. 11.
    Walker, R., Voce, J., Swift, E., Ahmed, J., Jenkins, M., Vincent, P.: 2016 Survey of Technology Enhanced Learning for Higher Education in the UK. UCISA TEL Survey report 2016. University of Oxford (2016)Google Scholar
  12. 12.
    Von Glasersfeld, E.: Cybernetics and the Theory of Knowledge (2002).
  13. 13.
    Svetsky, S., Moravcik, O.: Some aspects of teaching processes computerization. In: Future Technologies Conference. FTC 2017: IEEE, 2017, Vancouver, Canada, pp. 1–5 (2017)Google Scholar
  14. 14.
    Haidegger, T.: Developing and maintaining sub-domain ontologies. In: Proceedings of Standardized Knowledge Representation and Ontologies for Robotics and Automation. Workshop at IEEE/RSJ IROS, 2014, Chicago, IL (2014)Google Scholar
  15. 15.
    Tolgyessy, M., Hubinský, P.: The Kinect sensor in robotics education. In: Proceedings of RiE 2011, 2nd International Conference on Robotics in Education. Vienna, Austria, 2011, pp. 143–146 (2011)Google Scholar
  16. 16.
    Shyshkina, M.: The general model of the cloud-based learning and research environment of educational personnel training. In: Auer, M., Guralnick, D., Simonics, I. (eds.), Teaching and Learning in a Digital World. ICL, 2017. Advances in Intelligent Systems and Computing, vol. 715. Springer, Cham (2017)Google Scholar
  17. 17.
    Volná, E.: Introduction to Soft Computing. (2013).
  18. 18.
    Mikulowski. D., Pilski, M.: Ontological support for teaching the blind students spatial orientation using virtualsound reality. In: Advances in Intelligent Systems and Computing book series (AISC, volume 725) Interactive Mobile Communication Technologies and Learning, Proceedings of the 11th IMCL Conference, pp. 309–316. Springer (2018)Google Scholar
  19. 19.
    Svetsky, S., Moravcik, O.: The implementation of digital technology for automation of teaching processes. Presented at the Future Technologies Conference 2016, San Francis-co (2016).
  20. 20.
    UV 7340: The connection of an unstructured data processing system using a specific data structure. Industrial Property Office of the Slovak Republic (2014).
  21. 21.
    Svetsky S., Moravcik O.: Some barriers regarding the sustainability of digital technology for long-term teaching. In: Arai, K., Bhatia, R., Kapoor, S. (eds), Proceedings of the Future Technologies Conference (FTC) 2018. FTC, 2018. Advances in Intelligent Systems and Computing, vol. 880. Springer, Cham (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Stefan Svetsky
    • 1
    Email author
  • Oliver Moravcik
    • 1
  • Pavol Tanuska
    • 1
  • Zuzana Cervenanska
    • 1
  1. 1.Slovak University of TechnologyBratislavaSlovakia

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