Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

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Editorial Peer Review Methodology

Integrating Reviewing Processes


Quantitative Endosurgery Process Analysis by Machine Learning Method
Bojan Nokovic, Andrew Lambe
(pages: 1-7)

Modelling Student Performance in a Structural Steel Graduate-Based Module: A Comparative Analysis Between K-Nearest Neighbor and Dummy Classifiers
Masengo Ilunga, Omphemetse Zimbili, Phahlani Mampilo, Agarwal Abhishek
(pages: 8-15)

Interoperable Digital Skills for Foreign Languages Education in the COVID-19 Paradigm
Rusudan Makhachashvili, Ivan Semenist, Iryna Vorotnykova
(pages: 16-20)

Education, Training and Informatics Go Hand in Hand in (Foreign) Higher Education Institutions (HEIs) – Case Studies From Live and Online Classrooms
Ekaterini Nikolarea
(pages: 21-29)

Enhancing Pedagogical and Digital Competencies Through Digital Tools: A Proposal for Semi-schooled Language Teaching Programs in Oaxaca, Mexico
José de Jesús Bautista Hernández, Eduardo Bustos Farías, Norma Patricia Maldonado Reynoso
(pages: 30-35)

Railway Track Degradation Modelling Using Finite Element Analysis: A Case Study in South Africa
Ntombela Lunga, Masengo Ilunga
(pages: 36-50)

Continuum of Academic Collaboration: Issues of Inconsistent Terminology in Multilingual Context
Cristo Leon, James Lipuma, Marcos O. Cabobianco, Maria B. Daizo
(pages: 51-62)

Peat Resource Management and Climate Change Mitigation Issues – Case of Latvia
Anita Titova, Natalja Lace
(pages: 63-70)

Using Geospatial Computation Intelligence for Mapping Temporal Evolution of Urban Built-up in Selected Areas of the Ekurhuleni Municipality, South Africa
Jo-Anne Correia, Masengo Ilunga
(pages: 71-80)

Cybernetics and Informatics of Generative AI for Transdisciplinary Communication in Education
Rusudan Makhachashvili, Ivan Semenist
(pages: 81-88)

Navigating Psychological Riptides: How Seafarers Cope and Seek Help for Mental Health Needs
Coleen Abadicio, Stella Louise Arenas, Rosette Renee Hahn, Angel Berry Maleriado, Ramon Miguel Mariano, Rodolfo Antonio Ma. Zabella, Genejane Adarlo
(pages: 89-98)


 

Abstracts

 


ABSTRACT


Algorithm of Problem Solving in Educational Data Mining Approach

Premysl Zaskodny


The presented article “Algorithm of Problem Solving in Educational Data Mining Approach” is following in the previous article “Data Mining Tools in Science Education” (Zaskodny, 2012, JSCI). The main principle of previous article was data mining in science education as problem solving. The main goal was consisting in delimitation of complex data mining tool and partial data mining tool in area of science education. The procedure of previous article was consisting of data preprocessing in science education, data processing in science education, description of curricular process as complex data mining tool, description of analytical synthetic modeling as partial data mining tool and finally the application via physics education.

The presented article is based on partly the widening of previous article, partly the innovation of previous article procedure, partly the presentation of new results. The presented article is respecting all the quoted sources which were utilized in the previous article (Zaskodny, 2012). The presented article is also closely issuing from monographs processed by Zaskodny et al,. 2014, Zaskodny, 2016.

The presented article is describing the role of algorithms in problem solving as significant result mainly of educational data mining approach, but also marginally of data mining approach in statistics and theory of financial derivatives (an expression of inter-disciplinary communication) The problem solving is expressing very often the essence of data mining and the algorithm of problem solving is showing the way how to reach the concrete results. It is showing not only how to substantiate the concrete results, but also how to continue by an expression of needful textbook structure (in the case of educational data mining approach) or how to continue in the form of programming language application (in the case of data mining in statistics and financial derivatives theory).

Within presented article it will be shown the concrete applications of problem solving by means of the algorithm of curricular process as complex tool of educational data mining. Also the algorithms of statistics and financial derivatives theory will be indicated.

The structure of delimitation of the role of algorithm in problem solving (within educational data mining approach) will be described through following succession of steps:

1. Data Mining Approach as Realization of Data Mining Cycle
2. Complex Tool of Educational Data Mining – Curricular Process
3. Significant Partial Tool of Data Mining – Analytical Synthetic Modeling
4. Significant Partial Tool of Data Mining – Matrix Modeling and Main Diagonal of Matrix
5. Algorithm of Curricular Process
6. General Role of Algorithms in Data Mining Approach

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