Exploiting the knowledge engineering paradigms for designing smart learning systems

Authors

  • Abdel Badeeh Mohamed M. Salem University of Economics – Varna Research Institute of the University of Economics – Varna Knyaz Boris I blvd., 77, Varna, Bulgaria, 9002, Bulgaria
  • Silvia Parusheva University of Economics – Varna Knyaz Boris I blvd., 77, Varna, Bulgaria, 9002, Bulgaria https://orcid.org/0000-0002-7050-3514

DOI:

https://doi.org/10.15587/1729-4061.2018.128410

Keywords:

Knowledge engineering, Smart Learning Systems, Artificial Intelligence, Intelligent Agents, Data Mining, Case-Based Reasoning, Smart Computing

Abstract

Knowledge engineering (KE) is a subarea of artificial intelligence (AI). Recently, KE paradigms have become more widespread within the fields of smart education and learning. Developing of Smart learning Systems (SLS) is very difficult from the technological perspective and a challenging task. In this paper, three KE paradigms, namely: case-based reasoning, data mining, and intelligent agents are discussed. This article demonstrates how SLS can take advantage of the innovative KE paradigms. Therefore, the paper addresses the pros of such smart computing approaches for the industry of SLS. Moreover, we concentrate our discussion on the challenges faced by knowledge engineers and software developers in developing and deploying efficient and robust SLS. Overall, this study introduces the reader the KE techniques, approaches and algorithms currently in use and the open research issues in designing the smart learning systems.

Author Biographies

Abdel Badeeh Mohamed M. Salem, University of Economics – Varna Research Institute of the University of Economics – Varna Knyaz Boris I blvd., 77, Varna, Bulgaria, 9002

PhD, Professor

Silvia Parusheva, University of Economics – Varna Knyaz Boris I blvd., 77, Varna, Bulgaria, 9002

Doctor on Economic Sciences, Associate Professor

Department of Informatics, Faculty of Computer Science

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Published

2018-04-11

How to Cite

Salem, A. B. M. M., & Parusheva, S. (2018). Exploiting the knowledge engineering paradigms for designing smart learning systems. Eastern-European Journal of Enterprise Technologies, 2(2 (92), 38–44. https://doi.org/10.15587/1729-4061.2018.128410

Issue

Vol. 2 No. 2 (92) (2018): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2018 Abdel Badeeh Mohamed M. Salem, Silvia Parusheva

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