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Some Barriers Regarding the Sustainability of Digital Technology for Long-Term Teaching

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Proceedings of the Future Technologies Conference (FTC) 2018 (FTC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 880))

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Abstract

Computer support of teaching is linked to terms like e-Learning, Technology-enhanced learning and Educational technology. Despite the very high level of the global IT services, networks, and actual clouds, which are also used in education, from a personalized teacher point of view, this is mostly only technological infrastructure that can be used for handling a curriculum content. A set of successfully used educational IT tools could be also mentioned, however, these are often only single-purposed static solutions. One needs not to do a research review – he can simply ask his colleagues – how many barriers are caused by incompatibility of the software formats, and short life cycle of software, hardware and networks solutions. Paradoxically, it is automatically supposed in the actual scientific papers that digital technology functions without any problems. Additionally, many questions arise regarding the IT sustainability for long-term teaching within engineering education. This paper describes some categories of the barriers to embedding the digital technology into teaching and shows some key points derived from around 12 years of the practical experience related to solving the personalized IT support of teachers within teaching bachelors students. As for the long-term teaching, it also demonstrates that state-of-the-art of the IT support for university teaching is not yet suitable including indicated lower IT skills of students. In real life, to be sustainable, a teacher should be teacher, programmer and researcher in one person. Regarding elimination of the barriers within long-term teaching, an all-in-one universal approach is presented by using the in-house educational software BIKE(E), based on design of a “virtual knowledge”. This specific default data structure enables solving knowledge (educational data) transmission through the off-line and online environments. In comparison with other solutions, it seems to be the most universal and sustainable solution for personalized IT support.

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References

  1. Laurillard, D.: Digital Technologies and Their Role in Achieving Our Ambitions for Education. https://www.researchgate.net/publication/320194879_Digital_technologies_and_their_role_in_achieving_our_ambitions_for_education. Accessed 16 Feb 2018

  2. Kostadinov, Z.: Sharing personal knowledge over the Semantic Web. In: Proceedings of the International Workshop: Networks for Lifelong Competence Development, Sofia (2006). http://dspace.ou.nl/bitstream/1820/720/1/Paper09.pdf

  3. Bieliková, M., et al.: Personalized Conveying of information and knowledge. Studies in informatics and information technology. In: Research Project Workshop Smolenice, pp. 53–86. SUT Press, Bratislava (2012)

    Google Scholar 

  4. Matusu, R., Vojtesek, J., Dulik, T.: Technology-enhanced learning tools in European higher education. In: Proceedings of the 8th WSEAS International Conference on Distance Learning and Web Engineering, Santander, Cantabria, Spain (2008)

    Google Scholar 

  5. Alfano, M., Cuscino, N., Lenzitti, B.: Structuring didactic materials on the WEB (STRUCT). Commun. Cognit. 41(1 & 2), 53–66 (2008)

    Google Scholar 

  6. Programme Specification for M.Sc. Education (Learning and Technology). Department of Education, University of Oxford. http://www.education.ox.ac.uk

  7. Goodman, P.S., et al.: Laurence Erlbaum Associates: Technology Enhanced Learning: Opportunities for Change (2002)

    Google Scholar 

  8. 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)

    Google Scholar 

  9. Martens, A.: Software engineering and modeling in TEL. In: Huang, R., Kinshuk, Chen, N.-S. (eds.) The New Development of Technology Enhanced Learning Concept, Research and Best Practices, pp. 27–40. Springer, Heidelberg (2014)

    Google Scholar 

  10. Tolgyessy, M., Hubinský, P.: The kinect sensor in robotics education. In: Proceedings of RiE 2011, 2nd International Conference on Robotics in Education, Vienna, Austria, pp. 143–146 (2011)

    Google Scholar 

  11. 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, Chicago, IL (2014)

    Google Scholar 

  12. Mikulowski, D., Pilski, M.: Ontological support for teaching the blind students spatial orientation using virtual sound reality. In: Advances in Intelligent Systems and Computing book series (AISC) Interactive Mobile Communication Technologies and Learning, Proceedings of the 11th IMCL Conference, vol. 725, pp. 309–316 Springer (2018)

    Google Scholar 

  13. 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

    Google Scholar 

  14. Volná, E., Kotyrba, M.: A comparative study to evolutionary algorithms. In: Proceedings 28th European Conference on Modelling and Simulation, ECMS 2014, Brescia, Italy, pp. 340–345 (2014)

    Google Scholar 

  15. Svetsky, S., Moravcik, O.: The implementation of digital technology for automation of teaching processes. In: Proceedings of the Future Technologies Conference, San Francisco, USA, pp. 340–348. IEEE (2016)

    Google Scholar 

  16. Svetsky, S., Moravcik, O.: The empirical research on human knowledge processing in natural language within engineering education. In: WEEF & GEDC 2016: The World Engineering Education Forum & The Global Engineering Deans Council, Seoul, Korea, pp. 10–12 (2016)

    Google Scholar 

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Correspondence to Stefan Svetsky .

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Svetsky, S., Moravcik, O. (2019). 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. https://doi.org/10.1007/978-3-030-02686-8_71

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