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


Re-Published in
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


Applied Research on Big-Data-Based Analysis of Chinese Basic Education Integrating Social Values —Taking Chinese Education from 3rd to 6th Grade as Example

Shuqin Zhao, Huaqi Chen, Jang-Ruey Tzeng, Ann Gloghienette Orais Perez


Primary education is the gold stage of personal growth which is the foundation of the comprehensive development of moral, intelligence, physical, art and labor. Therefore, grasping the daily education of primary students is the focus of primary education. The application of big-data analysis could focus on the micro and overall performance of students. Maybe, these data have no significance to the individuals, but the information of all the students could solve many problems in the teaching process. Accordingly the teachers could acquire the real learning level of most of the students in school and more accurately carry out the personalized education and facilitate the efficient study of students.Using the SAS statistical models, this paper mined and analyzed the 3-6 grade's big testing data on Chinese Language courses through the VOSMaP Database of the EduCube project. In this study, the results of two-way ANOVA analysis model can provide the finding and effectively assist educators to solve the child's learning problems. In China the Chinese Language courses of Basic Education focus on the cultivation of loving the motherland language, cultural and social values; it emphasizes on the development of intellectual, morality and sound personality as well as the balanced development of moral, intellectual, physical, aesthetic, labor and so on. Based on the big data analysis, this paper concludes that the Chinese Language education fused with social values can facilitate the effectiveness of this kind of integration education in China, as well as can provide the educators of this field a new thinking in the big data era.

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