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
 

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Journal's Reviewers
Call for Special Articles
 

Description and Aims

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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


Plagiarism in an Online Learning Environment: Reflections on Best Practice Using the Analytical Lens of Behavioural Science

Gerard Creaner, Sinead Creaner


Many universities are facing the prospect of a significant increase in online teaching and assessment for the coming 2020-21 academic year as a result of the COVID-19 pandemic. On-campus, in-person delivery and assessment methods are often transposed to an online environment with little modification. This does not always work.

This paper looks at the experience and effectiveness of implementing a standard plagiarism awareness campaign within an online learning environment. It uses the analytical lens of behavioural science to examine the results (where the plagiarism scores for almost 20% of the adult learners were High due to poor referencing abilities) with a view to reducing these scores.

The data set has been gathered over a two-year period with 275 adult learners, coming from a variety of educational and employment backgrounds, with 5 to 25 years of work experience. All were exposed to the same lessons on plagiarism and referencing.

This paper is broadly practitioner research using case studies as illustrative of real-world phenomena. The methodology for comparison draws heavily on Bereday’s model of comparative styles and their predispositions (Bereday, 1964).

This presented the key question: How can the poor referencing abilities of otherwise capable learners be addressed to produce work that is Low plagiarism scoring?

The analytical lens of behavioural science theories (in particular Bounded Rationality and the Framing Effect) suggest some explanations for the poor referencing abilities of otherwise capable learners. Likewise, Nudge Theory, Messenger Effect and Simplification suggest opportunities for insight into how to motivate learners to produce work with lower plagiarism scores.

The key outcome is the suggestion of the need for further research into creating a positive environment for learners to explore referencing and building more credible arguments through the proper use of Subject Matter Experts (SME) opinions that support their own, rather than the current situation where referencing is seen as a box-ticking exercise that results in punishment if not done correctly.

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