Sabina Katalnikova


Education is integral part of every knowledge worker’s activity during their whole life. While talking about lifelong education of knowledge workers, it is important to provide a possibility to study following an individual programme and, keeping into mind their own particular study aim, to test their newly acquired knowledge practically, to collaborate and learn from colleagues. In this regard development and application of intelligent collaborative educational systems gain great importance. This article has a threefold purpose: 1) to analyse the notion of knowledge worker, 2) to highlight its main traits and characteristics, 3) to offer a model of knowledge worker from the standpoint of a user of intelligent collaborative educational system. This theoretical study was based on an analysis of available literature sources and a summarizing of information. In order to illustrate the proposed model, extended semantic networks were applied and their brief description was given.


collaborative education; extended semantic networks; intelligent collaborative educational system; knowledge worker

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Anohina-Naumeca, A. Studying the Influence of Collaborative Self- and Peer-Assessment Methods on the Quality of Students’ Structural Knowledge. Proceedings of the 10th International Conference of Education, Research and Innovation, 5979-5989.

Awad, E.M. (1996). Expert Systems. Minneapolis, MN: West Publishing Co.

Brindley, J., Blaschke, L. M., Walti, C. (2009). Creating effective collaborative learning groups in an online environment. The International Review of Research in Open and Distance Learning, 10(3). Retrieved from:


Davenport, T. H. (2005). Thinking for a Living: How to Get Better Performance and Results from Knowledge Workers. Boston: Harvard Business School Press.

Dillenbourg, P. (1999). What do you mean by ‘collaborative learning?’ In P. Dillenbourg (Ed.), Collaborative-learning: Cognitive and Computational Approaches (1-19). Oxford: Elsevier

Drucker, P. F. (1959). Landmarks of tomorrow. USA: Harper Business.

Drucker, P. F. (1999). Knowledge-worker productivity: The biggest challenge. California Management Review, 41(2), 79-94.

Drucker, P. F. (2000). Managing knowledge means managing oneself. Leader to Leader, 16, 8–10

Drucker, P.F. (1969). The Age of Discontinuity: Guidelines to our Changing Society. London: Heinemann

Drucker, P.F. (2006). The Effective Executive: The Definitive Guide to Getting the Right Things Done. N.Y.: HarperCollins

Ebbinghaus, H. (1885) Memory: A Contribution to Experimental Psychology. Leipzig: Duncker & Humblot. Retrieved from:


Figurska, I. (2010). Selected aspects of managing knowledge workers. Human Resources Management & Ergonomics, 4(2), 18-30.

Flood, P. C., Turne, T., Ramamoorthy, N. & Pearson, J. (2001). Causes and Consequences of Psychological Contracts Among Knowledge Workers in the High Technology and Financial Services Industries. The International Journal of Human Resource Management, 12(7), 1152-1165.

Goldie, J.G. (2016). Connectivism: A knowledge learning theory for the digital age? Med Teach 38(10): 1064-1069. Retrived from:

Grundspenkis, J. (2011). The Conceptual Framework for Integration of Multiagent Based Intelligent Tutoring and Personal Knowledge Management Systems in Educational Settings. Workshops on Business Informatics Research: International Workshops and Doctoral Consortium, 143-157.

Ivan I., Ciurea C., Milodin D. (2010). Collaborative Educational System Analysis and Assessment. Third International Conferences on Advances in Computer-Human Interactions, 160-165. doi: 10.1109/ACHI.2010.13

Johnson, D. W., Johnson, R. T. (1989). Cooperation and competition: Theory and research. Edina, MN: Interaction Book Company. Retrieved from:

Kappes, S., Thomas, B. A model for knowledge worker information support. Knowledge Worker Information Management, 1-4.

Katalnikova, S., Novickis, L. (2017). Conceptual Model of Intelligent Collaborative Educational System: Possible Solutions. International Journal of Computer Science and Information Security, 15(11), 123-128.

Kataļņikova, S., Novickis, L., Prokofjeva, N. (2016) Knowledge Representation in Intelligent Collaborative Educational Systems. CEUR Online Workshop Proceedings, 1684, 1-10. Retrieved from:

Knowles, M. (1990). The adult learner. A neglected species, 4th Edition. Houston: Gulf Publishing Co.

Kuznetsov, I.P. (1986). Semantic Representation. Nauka, Mockow (In Russian).

Kuznetsov, I.P., Matskevich, A.G. (2006). Semantic-oriented Systems Based on Knowledge Bases. Moscow: MTUSI (In Russian).

Lavendelis, E., Grundspenkis, J. (2010) MIPITS - An Agent based Intelligent Tutoring System. Proceedings of 2nd International Conference on Agents and Artificial Intelligence, 5-13.

Mattar, J. A. (1982). Constructivism and connectivism in education technology: Active, situated, authentic, experiential, and anchored learning. Technology, 1-16.

Miller, R. (2002). Motivating and Managing Knowledge Workers. Knowledge Management Review, 5(1), 16-20.

Mládková, L. (2015). Knowledge Workers and the Principle of 3S (Self-management, Selforganization, Self-control). Procedia Social and Behavioral Sciences, 181, 178-184.

Muuro, M. E., Wagacha, W. P., Kihoro, J., Oboko, R. (2014). Students’ perceived challenges in an online collaborative learning environment: A case of higher learning institutions in Nairobi, Kenya. The International Review of Research in Open and Distributed Learning, 15(6), 132-161. doi:

Nichols, J. R. (2017). 4 Essential Rules Of 21st Century Learning. Retrieved from:

Novickis, L., Rikure, T. (2005). Intelligent Tutoring Systems. Proceedings of IST4Balt International Workshop “IST 6th Framework Programme – Great Opportunity for Cooperation & Collaboration”, 35-40.

Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223–231.

Reinhardt, W., Schmidt, B., Sloep, P. B., & Drachsler, H. (2011). Knowledge Worker Roles and Actions - Results of Two Empirical Studies. Knowledge and Process Management, 18(3), 150–174. doi: 10.1002/kpm.378

Smith, B. L., MacGregor, J. T. (1992). What is collaborative learning? In Goodsell, A., Maher, M., Tinto, V., Smith, B. L. & MacGregor J. T. (Eds.), Collaborative Learning: A Sourcebook for Higher Education (9-22). USA: Pennsylvania State University, National center on postsecondary teaching, learning, and assessment publishing.

Sokol, A., Figurska, I. (2017). Creativity as One of the Core Competencies of Studying Knowledge Workers. The International Journal Entrepreneurship and Sustainability Issues, 5 (1), 23-35.

Spath, D., Hofmann, J. (2009). The Knowledge Worker as a Resource – Productivity Potential of the 21st Century. In: Gestaltungsfeld Arbeit und Innovation (333-363). München: Rudolf Haufe Verlag [In German].

Teasley, S.D. and Roschelle, J. (1993). Constructing a Joint Problem Space: The computer as a tool for sharing knowledge. In Lajoie, SP and Derry, SJ (eds), The Computer as a Cognitive Tool (229–258). Hillsdale, NJ, USA: Erlbaum.

Toffler, A. (1991). Powershift: Knowledge, Wealth, and Violence at the Edge of the 21st Century. Bantam.

Tojo, T., Ono, O., Noh, N.B.M., Yusof, R. (2018). Interactive Tutor Robot for Collaborative e-Learning System. Electrical Engineering in Japan., 203(3), 22-29. doi: 10.1002/eej.23073

Underwood, Z. (2016). Connectivism: A Learning Theory for Today’s Academic Advising. Academic Advising Today, 52. Retrieved from:


Van der Vegt, G. S., Emans, B. J. M., and Van de Vliert, E. (2001). Patterns of Interdependence in Work Teams: a Two-level Investigation of the Relations with Job and Team Satisfaction. Personnel Psychology, 5(1), 2001, 51–69. doi: 10.1111/j.1744-6570.2001.tb00085.x

Vygotsky, L. (1982). The Collected Works: Questions of Theory and History of Psychology. М.: Pedagogika (In Russian).

Willke, H. (1998). Organized Knowledge Work. Zeitschrift für Soziologie, 27(3), 161–177. In German)



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