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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(A Community of about 40.000.000 Academics)


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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Information to Contributors

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


The Charrette Design Model Provides a Means to Promote Collaborative Design in Higher Education

Webber Steven B.


Higher education is typically compartmentalized by field and expertise level leading to a lack of collaboration across disciplines and reduced interaction among students of the same discipline that possess varying levels of expertise. The divisions between disciplines and expertise levels can be perforated through the use of a concentrated, short-term design problem called a charrette. The charrette is commonly used in architecture and interior design, and applications in other disciplines are possible. The use of the charrette in an educational context provides design students the opportunity to collaborate in teams where members have varying levels of expertise and consult with experts in allied disciplines in preparation for a profession that will expect the same.

In the context of a competitive charrette, this study examines the effectiveness of forming teams of design students that possess a diversity of expertise. This study also looks at the effectiveness of integrating input from professional experts in design-allied disciplines (urban planning, architecture, mechanical and electrical engineering) and a design-scenario-specific discipline (medicine) into the students’ design process. Using a chi-square test of goodness-of-fit, it is possible to determine student preferences in terms of the team configurations as well as their preferences on the experts.

In this charrette context, the students indicated that the cross-expertise student team make-up had a positive effect for both the more experienced students and the less experienced students. Overall, the students placed high value on the input from experts in design-allied fields for the charrette. They also perceived a preference of input from external experts that had an immediate and practical implication to their design process. This article will also show student work examples as additional evidence of the successful cross-expertise collaboration among the design students and evidence of the integration of information from the experts into the design results.

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