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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Academia.edu
(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

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Smart Cities: Challenges and Opportunities
Mohammad Ilyas
(pages: 1-6)

Bridging the Gap: Communicating to Increase the Visibility and Impact of Your Academic Work
Erin Ryan
(pages: 7-12)

Cross-Cultural Online Networking Based on Biomedical Engineering to Motivate Transdisciplinary Communication Skills
Shigehiro Hashimoto
(pages: 13-17)

Interdisciplinary Approaches to Learning Informatics
Masaaki Kunigami
(pages: 18-22)

The Impact of Artificial Intelligence and the Importance of Transdisciplinary Research
R. Cherinka, J. Prezzama, P. O'Leary
(pages: 23-28)

Emotional Communication as Complex Phenomenon in Musical Interpretation – Proposal for a Systemic Model That Promotes a Transdisciplinary Process of Self-Formation and Reflection Around Expressiveness as a Lived Experience
Fuensanta Fernández de Velazco, Eduardo Carpinteyro-Lara, Saúl Rodríguez-Luna
(pages: 29-33)

A Multi-Disciplinary Cybernetic Approach to Pedagogic Excellence
Russell Jay Hendel
(pages: 34-41)

The Ethics of Artificial Intelligence in the Era of Generative AI
Vassilka D. Kirova, Cyril S. Ku, Joseph R. Laracy, Thomas J. Marlowe
(pages: 42-50)

Trans-Disciplinary Communication: Context and Semantics
Maurício Vieira Kritz
(pages: 51-57)

A Brave New World: AI as a Nascent Regime?
Jasmin Cowin, Birgit Oberer, Cristo Leon
(pages: 58-66)

The Role of Art and Science – Relational Dynamics in Human Ecology
Giorgio Pizziolo, Rita Micarelli
(pages: 67-75)

Advancing Entrepreneurship Education: An Integrated Approach to Empowering Future Innovators
Birgit Oberer, Alptekin Erkollar
(pages: 76-81)

Harmonizing Horizons: The Symphony of Human-Machine Collaboration in the Age of AI
Birgit Oberer, Alptekin Erkollar
(pages: 82-86)

How Do Students Learn Artificial Intelligence in Interdisciplinary Field of Biomedical Engineering?
Shigehiro Hashimoto
(pages: 87-91)

What is ChatGPT and its Present and Future for Artificial Intelligence in Trans-Disciplinary Communications?
Richard Segall
(pages: 92-98)


 

Abstracts

 


ABSTRACT


Key Factors in the Success of Self - Directed Learning of Military Personnel - Taking Smartphone as an Example

Yen-Hsi Lo, Yen-Fen Lo, Po-Yun Chiang, Jung Hsiao


With the change of times and the competition of the society, on-the-job training is already one of many things that modern people will practice for self-enrichment, competitiveness enhancement, and better future career opportunities. Recently, the working environment for military officers has been changing based on the government’s policies toward the aspect of increasing working quality and reducing manpower. Meanwhile, with the explosive improvement in communication devices, the military is gradually allowing officers to use smartphones. With access to technologies, military officers are more likely to utilize smartphones for trainings aiming to stay connected with the society. Therefore, this research aims to study the success factor of the usage of smartphones as the on-the-job training devices for military officers. Based on the research motive, this study uses AHP to analyze the success factor between the utilization of smartphones for on-the-job trainings of military officers and their employment competence after retirement. There are two research purposes: to study the self-directed learning phenomenon of military officers and the key factors of utilizing smartphones for self-directed learning of military officers.

The analysis of this study is based on the content of the literature, and the results show a number of key factors. There are four key factors in the second layer: "network functionality", "site architecture preferences", “mobile usage for self-learning", and "learning needs." The third level consists of 4-5 key factors extended from the second layer. The initial questionnaire was designed under the guidance of experts; a total of 25 questionnaires were obtained, including 4 invalid and 21 effective copies. In addition, hierarchical analysis method was used to discuss the weighted relationship between the military personnel and the key factors of the self-directed learning on smartphones.

The study found that "learning" is the largest weight, which resulted from the situation that military life circle and working environment is very different from the public. If the military officers can acquire knowledge from the self-directed learning on smartphones to stay connected with the society, it would be more encouraging to the officers as they would have the ability to enhance their competence and plan their future career.

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