Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Indexed byDOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world. Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO . DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable. DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable. Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility. DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles. JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar
Listed inCabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory Published by
The International Institute of Informatics and Cybernetics Re-Published in
Academia.edu
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)
ABSTRACT
Managing Cognitive Load in Adaptive ICT-Based Learning
The history of technological innovations in education has many
examples of failed high expectations. To avoid becoming
another one, current multimedia ICT tools need to be designed
in accordance with how the human mind works. There are well
established characteristics of its architecture that should be
taken into account when evaluating, selecting, and using
educational technology. This paper starts with a review of the
most important features of human cognitive architecture and
their implications for ICT-based learning. Expertise reversal
effect relates to the interactions between levels of learner prior
knowledge and effectiveness of different instructional
techniques and procedures. Designs and techniques that are
effective with low-knowledge learners can lose their
effectiveness and even have negative consequences for more
proficient learners. The paper describes recent empirical
findings associated with the expertise reversal effect in
multimedia and hypermedia learning environments, their
interpretation within a cognitive load framework, and
implications for the design of learner-tailored multimedia.
Full Text
