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The Knowledge-Based Design of Educational Technology

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Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3 (FTC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 360))

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Abstract

In the scientific literature, educational technology is often criticised as not being always optimised for effective teaching, as mostly technology-driven, not derived from knowledge as the basic key element of teaching. In this context, teaching is a typical knowledge-based process, which requires to deliver a concentrated educational knowledge within strictly limited time. Although digital technology should be knowledge-driven, a computer does not know what knowledge or educational knowledge is. An interdisciplinary definition of knowledge does not exist. Within the long-term research under an umbrella of technology-enhanced learning, this problem was solved by design of universal knowledge representation. This representation, so called- ‘virtual knowledge’, is both machine-readable and human-readable. It enables an individual user (teacher, student) to construct, transmit and share educational knowledge and content using all-in-one educational software in a user-friendly way and without a need of specific computer skills. This paper explains the essence of the design of the knowledge-based educational technology, which is based on the virtual knowledge and development of the educational software that enables the batch-based knowledge processing using the virtual knowledge and transfer of educational content through a shared infrastructure. The infrastructure consists of a combination of off-line (teacher’s computers, classroom computers) and online (clouds, virtual machines) environments. The following sections present the use of the educational knowledge tables and modelling the educational packages and language corpora to support writing scientific articles to explain a way of the knowledge-based educational design.

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References

  1. Goodman, S.P., et al.: Technology-enhanced learning: opportunities for change, Laurence Erlbaum Associates, Mahwah, NJ, USA, p. 2002 (2002)

    Google Scholar 

  2. Balacheff, N., Ludvigsen, S., Jong, T, Lazonder, A., Barnes, S. (eds.): Technology-Enhanced Learning. Principles and Products. XXVI, p. 326. Springer, Netherlands (2009). https://doi.org/10.1007/978-1-4020-9827-7

  3. 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 

  4. Laurillard, D.: Technology enhanced learning as a tool for pedagogical innovation. J. Philos. Educ. 42, 521–533 (2008)

    Article  Google Scholar 

  5. Weston, C.: The problem with technology enhanced learning. Ed Tech Now. http://edtechnow.net/2012/12/05/tel/

  6. Huang, R., Spector, J. M., Yang,J.: Educational Technology. A Primer for the 21st Century. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-6643-7

  7. Oliver, M.: Learning technology: theorising the tools we study. Br. J. Edu. Technol. 44, 31–43 (2013)

    Article  Google Scholar 

  8. Martens, A.: Software engineering and modelling in TEL. 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, Heidelberg (2014). https://doi.org/10.1007/978-3-642-38291-8

  9. Charlton, P., Magoulas, G.D., Laurillard, D: Designing for learning with theory and practice in mind conference: enabling creative learning design: how HCI, user modelling and human factors help, AIED 2009, At Brighton, UK. https://www.researchgate.net/publication/301637888_Designing_for_Learning_with_Theory_and_Practice_in_Mind

  10. Francom, G.M.: Educational technology for teachers. Inkling Systems, Inc., San Francisco, CA (2019). http://tech4teachers.me/book/sample/sample.html

  11. Rist R., Hewer, S.: What is learning technology? Some definitions. In: Implementing Learning Technology, Learning Technology Dissemination Initiative, Edinburgh, pp. 3–5 (1996)

    Google Scholar 

  12. Jacobs, H.H. (ed.): Curriculum 21: Essential Education for a Changing World (Professional Development). ASCD, 1st edn., p. 251, 14 July 2014

    Google Scholar 

  13. Koehler, M.J., Mishra, P., Kereluik, K., Shin, T.S., Graham, C.R.: The technological pedagogical content knowledge framework. In: Spector, J.M., Merrill, M.D., Elen, J., Bishop, M.J. (eds.) Handbook of Research on Educational Communications and Technology, pp. 101–111. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-3185-5_9

    Chapter  Google Scholar 

  14. Fantl, J.: Knowledge How, The Stanford Encyclopedia of Philosophy, Fall 2017 edn, Zalta, E.N. (ed.). https://plato.stanford.edu/archives/fall2017/entries/knowledge-how/

  15. Smith, E.A.: The role of tacit and explicit knowledge in the workplace. J. Knowl. Manag. 5(4), 311–321 (2001)

    Article  Google Scholar 

  16. Glasersfeld, E.: Cybernetics and the theory of knowledge. http://www.vonglasersfeld.com/255

  17. Reilly, C.: The concept of knowledge in KM: a relational model. Electron. J. Knowl. Manag. 7(1), 145–154 (2009)

    Google Scholar 

  18. Tsoukas, H.: Do we really understand tacit knowledge? In: The Blackwell Handbook of Organizational Learning and Knowledge Management, Wiley-Blackwell, pp. 410–427 (2003)

    Google Scholar 

  19. Herschel, R.T., Nemati, H., Steiger, D.: Tacit to explicit knowledge conversion: knowledge exchange protocols. J. Knowl. Manag. 5(1), 107–116 (2001)

    Article  Google Scholar 

  20. Svetsky, S., Moravcik, O.: The connection of an unstructured data processing system using a specific data structure, Slovakia Utility model UV 7340 (2016)

    Google Scholar 

  21. Larsen-Ledet, I., Korsgaard, H.: Territorial functioning in collaborative writing. Fragmented exchanges and common outcomes. Comput. Support. Coop. Work (CSCW) 28(3–4), 391–433 (2019)

    Google Scholar 

  22. Svetsky, S., Moravcik, O.: Virtual Learning space for R&D staff. In: Proceedings of ICETA: 5th International Conference on Emerging e-Learning Technologies and Applications, Stara Lesna, Slovakia (2007)

    Google Scholar 

  23. Svetsky, S., Moravcik, O.: The implementation of the personalised approach for technology enhanced learning. In: Proceedings of WCECS 2010: World Congress on Engineering and Computer Science. Proceedings, vol. 1, San Francisco, USA, pp. 321–323 (2010)

    Google Scholar 

  24. Svetsky, S., Moravcik, O.: The practice of research on technology - enhanced learning. Int. J. Comput. Inf. Technol. 2(4), 701–705 (2013)

    Google Scholar 

  25. Svetsky, S., Moravcik, O.: Some aspects of teaching processes computerization. In: Proceedings of Future Technologies Conference. FTC 2017: IEEE, 2017, Vancouver, Canada pp. 1–5 (2017)

    Google Scholar 

  26. Svetsky, S., Moravcik, O.: Some barriers regarding the sustainability of digital technology for long-term teaching. In: Proceedings of Future Technologies Conference, Vancouver, Canada (2018)

    Google Scholar 

  27. Svetsky, S., Moravcik, O., Tanuska, P., Cervenanska, Z.: The didactic-technology challenges for design of the computer supported collaborative teaching. In: Auer, M.E., Tsiatsos, T. (eds.) ICL 2018. AISC, vol. 916, pp. 46–57. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-11932-4_5

    Chapter  Google Scholar 

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Acknowledgments

This research work was supported by financial resources from the International Visegrad Fund under Strategic Grant No. 21810100, “V4+Academic Research Consortium for the integration of databases, robotics and language technologies.

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Correspondence to Stefan Svetsky .

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Svetsky, S., Moravcik, O., Shyshkina, M., Cervenanska, Z., Kotianova, J. (2022). The Knowledge-Based Design of Educational Technology. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3. FTC 2021. Lecture Notes in Networks and Systems, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-89912-7_58

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