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


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

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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