The automation of teaching processes based on knowledge processing
DOI:
https://doi.org/10.14738/tmlai.25.568Keywords:
Technology enhanced learning, Knowledge, Knowledge processing, Automation of teaching processes, Database technology.Abstract
Technology-enhanced learning as one of the EU research priorities is focused on "how information and communication technologies can be used to support learning and teaching". However, such “definition” is too much general, so, mostly technology-driven approaches are prevailing in the practice, which do not take enough in consideration didactic aspects of knowledge processing, and that teaching processes are related to mental processes of individuals. In addition, there are many open questions, especially “what is knowledge”, “what is knowledge representation”. An interdisciplinary definition of knowledge is missing, despite the fact that teaching processes are knowledge based. Within a long-term participatory action research on TEL when teaching bachelors, a strategy of automation of teaching processes was evolved. This seem to be a crucial point for solving any personalized computer support of teacher and students. Because these processes are primarily uncertain, or unstructured, it was found, that to make these processes better computerizable, an unification both teaching and informatics processes is needed. In this context, the knowledge processing is based on an idea of “virtual knowledge unit” (as a part of patent application, 2014). For this purpose, an in-house software has been developed that enables individuals to perform a “batch knowledge processing paradigm” in order to process a large amount of knowledge in natural language on their personal computers, university’s cloud and servers. This paper deals with a specific approach to automation of teaching processes based on the knowledge processing.
References
. TeLearn - European research on technology-enhanced learning. http://cordis.europa.eu/fp7/ict/telearn-digicult/telearn_en.html
. Svetsky, S, et al., The Educational - Driven Approach for Technology Enhanced Learning. World Congress on Engineering and Computer Science on, 2012. Proceedings IAENG & IET: p. 290-296.
. Svetsky, S. The practical aspect of knowledge construction and automation of teaching processes within technology-enhanced learning and eLearning. Habilitation thesis. Slovak University of Technology; 2012.
. Svetsky, S. et al. The Particular Approach for Personalised Knowledge Processing. In: Advances in Intelligent and Soft Computing. Springer-Verlag Berlin Heidelberg, 2012, pp. 937-946.
. S. Svetsky - O. Moravcik: The practice of Research on Technology - enhanced Learning. In: International Journal of Computer and Information Technology. Vol. 2, Iss. 4 (2013), s. 701-705.
. Goodman Paul S., et al. Technology Enhanced Learning: Opportunities for Change. Laurence Erlbaum Associates, Mahwah, NJ, USA; 2002.
. Skalková, J. The general Didactics (Obecná didaktika). Grada Publishing. a.s. 2007 (ISBN 978-80-247-1821-7)
. Cube, F. v.: Die kybernetische - informationstheoretishe Didaktik. Westermanns Pädagogishe Beiträge, 32, 1980, č. 3, s. 120-124.
. Saljö, R. Digital tools and challenges to institutional traditions of learning: technologies, social memory and the performative nature of learning. Journal of Computer Assisted Learning. Vol.26, pp. 53–64; 2010.
. N. Balacheff, S. Ludvigsen, T. Jong, A. Lazonder, S. Barnes (Eds.). Technology - Enhanced Learning. Principles and Products. Springer, 2009, XXVI, 326 p.
. R. Sutherland, S. Eagle, M. Joubert. A Vision and Strategy for Technology Enhanced Learning:Report from the STELLAR Network of Excellence. STELLAR, 2012. [cit. 2014-07-15] Available at
. C. L. P. Nápoles, L., Montandon (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] Available at http://hotel-project.eu/content/d112-emerging-technologies-landscape-report.
. A. Stolar. META-EDUCATION. Journal of Technology and Information Education. 2009, Olomouc - EU, Univerzita Palackého, Ročník 1, Číslo 1, s. 7 – 18.
. P. Dillenbourg,. Integrating technologies into educational ecosystems. Distance Education, Routledge - Taylor & Francis Group (2008), Vol. 29, No. 2, p.127-134.
. Derry, J. Technology - Enhanced Learning: A Question of Knowledge. Journal of Philosophy of Education, vol. 42, pp. 505–519; 2008.
. D. Laurillard, "Technology Enhanced Learning as a Tool for Pedagogical Innovation," Journal of Philosophy of Education, vol. 42: pp. 521-533, 2008.
. Kinchin, I. (2012). Avoiding technology‐enhanced non‐learning. British Journal of Educational Technology, 43(2), E43-E48.
. Crispin Weston. The problem with “Technology Enhanced Learning”, http://edtechnow.net/2012/12/05/tel/, Ed Tech Now, 2012.
. University of Oxford. SSD/MT10/MScEd, http://www.ox.ac.uk/media/global/wwwoxacuk/localsites/gazette/documents/examregs/oldsocsci/13-01-11_MSc_in_Education.pdf
. Nielsson. J.N., Human - Level Artificial Intelligence? Be serious! AI Magazine 25 aniversary Issue. Winter 2005, p. 68 - 75.
