Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The competence-based learning-teaching process is a significant approach to the didactical process organization. In this paper the mathematical model of the competence-based learning-teaching process is proposed. The model integrates three models: a knowledge representation model (based on the ontological approach), a motivation model (as a behavioral-incentive model) and a servicing model (in a form of the queuing model). The proposed integrated model allows to control the learning-teaching process on different levels of management. The learning-teaching process can be interpreted as competence-based due to Open and Distance Learning (ODL) philosophy. We assume that the competence is a result of fundamental, procedural and project knowledge acquisition in accordance to the incoming European Qualification Framework.
Rocznik
Tom
Strony
245--259
Opis fizyczny
Bibliogr. 60, wykr., rys., tab., fot.
Twórcy
autor
- Faculty of Computer Science and Information Systems, West Pomeranian University of Technology in Szczecin, 49 Żołnierska St., 71-210 Szczecin, Poland
autor
- Warsaw School of Computer Science, 17 Lewartowskiego St., 00-169 Warsaw, Poland
Bibliografia
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- [8] P. Rożewski, E. Kusztina, T. Tadeusiewicz, and O. Zaikin, “Intelligent open learning systems: concepts, models and algorithms”, Intelligent Systems Reference Library 22, CD-ROM (2011).
- [9] R. Tadeusiewicz, “Selected problems resulting from the use of internet for teaching purposes”, Bull. Pol. Ac.: Tech. 56 (4), 403-409 (2008).
- [10] K. Umbleja, V. Kukk, and M. Jaanus, “Competence-based approach to learning”, Global Engineering Education Conf. (EDUCON) 1, 552-559 (2013).
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- [18] P. Rożewski, “Model of intangible production network for competence development”, 5th Int. Conf. on Knowledge Science, Engineering and Management (KSEM) 2011, 246-256 (2011).
- [19] P. Rożewski, “Concept of intangible production network system for competence development in open and distance learning”, Management and Production Engineering Review 2 (3), 52-62 (2011).
- [20] E. Kusztina, O. Zaikin, and R. Tadeusiewicz, “The research behavior/ attitude support model in open learning systems”, Bull. Pol. Ac.: Tech. 58 (4), 705-711 (2010).
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- [29] V. Tarasov, “Ontology-based approach to competence profile management”, J. Universal Computer Science 18 (20), 2893-2919 (2012).
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- [34] E. Novak, “Toward a mathematical model of motivation, volition, and performance”, Computers & Education 74, 73-80 (2014).
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- [36] Y. Wang and Y. Wang, “Cognitive informatics models of the brain”, IEEE Trans. on Systems, Man, and Cybernetics 36 (2), 203-207 (2006).
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- [41] P. Rożewski and B. Małachowski, “System for creative distance learning environment development based on competence management”, 14th Int. Conf. on Knowledge-based and Intelligent Information and Engineering Systems (KES) 2010, 180-189 (2010).
- [42] O. Zaikin, E. Kushtina, and P. Rożewski, “Model and algorithm of the conceptual scheme formation for knowledge domain in distance learning”, Eur. J. Operational Research 175 (3), 1379-1399 (2006).
- [43] A. Poniszewska-Marańda, “Modeling and design of role engineering in development of access control for dynamic information systems” , Bull. Pol. Ac.: Tech. 61 (3), 569-579 (2013).
- [44] V. Kulba, S. Nikolsky, and O. Zaikin, “Ontological approach to modelling of discrete event dynamic system”, Bull. Pol. Ac.: Tech. 57 (3), 241-247 (2009).
- [45] A. Gomez-Perez, M. Fernandez-Lopez, and O. Corcho, Ontological Engineering: with Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web, Springer, Berlin, 2004.
- [46] E. Kushtina, P. Rożewski, and O. Zaikin, “Extended ontological model for distance learning purpose”, 6th Int. Conf. on Practical Aspects of Knowledge Management (PAKM) 2006, 155-165 (2006).
- [47] R. McGreal, “A typology of learning object repositories”, in Handbook on Information Technologies for Education and Training, pp. 5-28, ed. H.H. Adelsberger Kinshuk, J.M. Pawlowski, and D. Sampson, Springer, Berlin, 2008.
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- [50] S. Brandt, D. Albert, and C. Hockemeyer, “Surmise relations between tests - mathematical considerations”, Discrete Applied Mathematics 127 (2), 221-239 (2003).
- [51] H. Lihong, Q. Xiansheng, and H. Yanjun, “A capability assignment concept model for resource management system of product development”, IEEE Int. Symp. on Industrial Electronics (ISIE) 2007, 1927-1932 (2007).
- [52] N. Noy and D. McGuinness, “Ontology development 101: a guide to creating your first ontology”, Stanford Knowledge Systems Laboratory Technical Report KSL-01-05, CD-ROM (2001).
- [53] P. Shvaiko and J. Euzenat, “Ontology matching: state of the art and future challenges”, IEEE Trans. on Knowledge and Data Engineering 25 (1), 158-176 (2013).
- [54] V. Gonzalez-Barbone and L. Anido-Rifon, “Creating the first SCORM object”, Computers & Education 51 (4), 1634-1647 (2008).
- [55] M. Shubik, “Game theory in the social sciences: concepts and solutions”, MIT Press, Massachusetts, 1991.
- [56] D.A. Novikov, A Theory of Control in Organizations, Sinteg, Moscow, 2012.
- [57] M. Malinowska, “The reference model of information system for competence development monitoring”, Ph.D. Thesis, West Pomeranian University of Technology, Szczecin, (2013), (in Polish).
- [58] W. Sałabun, “The characteristic objects method: a new distance-based approach to multicriteria decision-making problems”, J. Multi-Crit. Decis. Anal., Doi: 10.1002/mcda.1525 (2014).
- [59] E. Kusztina, O. Zaikin, P. Rożewski, and B. Małachowski, “Cost estimation algorithm and decision-making model for curriculum modification in educational organization”, Eur. J. Operational Research 197 (2), 752-763 (2009).
- [60] O. Zaikin, Queuing Modelling of Supply Chain in Intelligent Production, Informa, Szczecin, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-97f7cd61-7b3c-4260-8943-a6a70e84fa67