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


Analogical and Logical Thinking – In the Context of Inter- or Trans-Disciplinary Communication and Real-Life Problems
Nagib Callaos, Jeremy Horne
(pages: 1-17)

Artificial Intelligence for Drone Swarms
Mohammad Ilyas
(pages: 18-22)

Brains, Minds, and Science: Digging Deeper
Maurício Vieira Kritz
(pages: 23-28)

Can AI Truly Understand Us? (The Challenge of Imitating Human Identity)
Jeremy Horne
(pages: 29-38)

Comparison of Three Methods to Generate Synthetic Datasets for Social Science
Li-jing Arthur Chang
(pages: 39-44)

Digital and Transformational Maturity: Key Factors for Effective Leadership in the Industry 4.0 Era
Pawel Poszytek
(pages: 45-48)

Does AI Represent Authentic Intelligence, or an Artificial Identity?
Jeremy Horne
(pages: 49-68)

Embracing Transdisciplinary Communication: Redefining Digital Education Through Multimodality, Postdigital Humanism and Generative AI
Rusudan Makhachashvili, Ivan Semenist
(pages: 69-76)

Engaged Immersive Learning: An Environment-Driven Framework for Higher Education Integrating Multi-Stakeholder Collaboration, Generative AI, and Practice-Based Assessment
Atsushi Yoshikawa
(pages: 77-94)

Focus On STEM at the Expense of Humanities: A Wrong Turn in Educational Systems
Kleanthis Kyriakidis
(pages: 95-101)

From Disciplinary Silos to Cyber-Transdisciplinary Networks: A Plural Epistemic Model for AGI-Era Knowledge Production
Cristo Leon, James Lipuma
(pages: 102-115)

Generative AI (Artificial Intelligence): What Is It? & What Are Its Inter- And Transdisciplinary Applications?
Richard S. Segall
(pages: 116-125)

How Does the CREL Framework Facilitate Effective Interdisciplinary Collaboration and Experiential Learning Through Role-Playing?
James Lipuma, Cristo Leon
(pages: 126-145)

Narwhals, Unicorns, and Big Tech's Messiah Complex: A Transdisciplinary Allegory for the Age of AI
Jasmin Cowin
(pages: 146-151)

Playing by Feel: Gender, Emotion, and Social Norms in Overwatch Role Choice
Cristo Leon, Angela Arroyo, James Lipuma
(pages: 152-163)

Responsible Integration of AI in Public Legal Education: Regulatory Challenges and Opportunities in Albania
Adrian Leka, Brunilda Haxhiu
(pages: 164-170)

The Civic Mission of Universities: Transdisciplinary Communication in Practice
Genejane Adarlo
(pages: 171-175)

The Promise and Peril of Artificial Intelligence in Higher Education
James Lipuma, Cristo Leon
(pages: 176-182)

They Learned the Course! Why Then Do They Come to Tutorials?
Russell Jay Hendel
(pages: 183-187)

To Use or Not to Use Artificial Intelligence (AI) to Solve Terminology Issues?
Ekaterini Nikolarea
(pages: 188-195)

Transdisciplinary Supersymmetry: Generative AI in the Vector Space of Postdigital Humanism
Rusudan Makhachashvili, Ivan Semenist
(pages: 196-204)

Why Is Trans-Disciplinarity So Difficult?
Ekaterini Nikolarea
(pages: 205-207)


 

Abstracts

 


ABSTRACT


Recognizing the Need for Rich Contextualization in the Classroom and Applying it with Modified Bloom's Cognitive Domain Taxonomy for Successful Teaching of Physics 106 (Physics II – Electricity, Magnetism and Light)

Matthew E. Edwards


Engaging students to teach new concepts and to have students achieve individualized learning with the successful integration of those new concepts with their existing knowledge has been and remains the primary goal of college education. In this study drawing on information gathered over the past 2 plus decades, my findings have led me to develop two new separate ascending teaching-structures that are significantly helping me with content delivery, and simultaneously helping my students achieve greater success in mastering the material of my Physics 106 (Physics II, Electricity, Magnetism and Light) classes. These two teachingstructures, called Contextualization Teaching and Rich Contextualization Teaching (RCT), with each structure relying on various aspects of a modified Bloom’s cognitive domain taxonomy and on my description of and when to use each structure, along with my introduction of “subject learning convergences,” are described and illustrated here. Finally, of students with open-minds and mentally connected to the subject being taught, I make the suggestion that my two ascending teaching-structures can be used for teaching such students new-concepts in any academic course where engaging students to teach new concepts represents the primary focus.

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