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Future Internet
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ICT and AI in Intelligent E-systems
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ICT and AI in Intelligent E-systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 7905

Special Issue Editors

Prof. Dr. Ergun Gide

E-Mail Website
Guest Editor
School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia
Interests: intelligent E-Systems; E-health; AI education; cloud computing; cyber security
Dr. Robert M. X. Wu

E-Mail Website
Guest Editor
School of Professional Practice and Leadership, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: digital transformation; digital processing; visualization; E-commerce; business intelligence; m-Health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

AI is currently considered the most important innovative development in the field of ICT. Today, all companies have an interest in incorporating AI into their business operations regardless of their industry type, whether they are in manufacturing or service. It is arguable that AI will transform the  architecture of business in the next 5–10 years. Organizations see AI as a strategic tool that both minimizes costs and accelerates decision-making processes. This is because AI-powered systems can analyze real-time data from different sources to make rapid and informed decisions. This can enable the application of intelligent features such as autonomous vehicle systems and intelligent driver assistance systems in order to prevent accidents.  

We invite researchers, academicians, and practitioners to contribute to this Special Issue focused on ICT and AI in intelligent E-Systems. This Special Issue aims to explore the successes, lessons learned, and innovative paradigms in using ICT and AI in intelligent E-Systems. We welcome original research papers, case studies, and review articles.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • State-of-the-art ICT and AI integration with Intelligent E-Systems.
  • ICT and AI powered Intelligent E-Systems in Industry 4.0/5.0.
  • Case studies that highlight successful ICT and AI integration in Intelligent E-Systems.
  • The challenges encountered in adopting ICT and AI integration in Intelligent E-Systems and the lessons derived from those challenges.
  • Innovative approaches and paradigms in ICT and AI integration in Intelligent E-Systems.
  • Explorations of the influence of ICT and AI integration on Intelligent E-Systems in businesses.

Prof. Dr. Ergun Gide
Dr. Robert M. X. Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • digital transformation
  • E-systems
  • E-business
  • data visualization
  • business intelligence
  • intelligent IS
  • business analytics
  • ICT higher education

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Published Papers (6 papers)

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Research

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19 pages, 756 KiB  
Article
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
by Chuhao Wu, He Zhang and John M. Carroll
Future Internet 2024, 16(10), 354; https://doi.org/10.3390/fi16100354 - 28 Sep 2024
Viewed by 2332
Abstract
Generative AI has drawn significant attention from stakeholders in higher education. As it introduces new opportunities for personalized learning and tutoring support, it simultaneously poses challenges to academic integrity and leads to ethical issues. Consequently, governing responsible AI usage within higher education institutions [...] Read more.
Generative AI has drawn significant attention from stakeholders in higher education. As it introduces new opportunities for personalized learning and tutoring support, it simultaneously poses challenges to academic integrity and leads to ethical issues. Consequently, governing responsible AI usage within higher education institutions (HEIs) becomes increasingly important. Leading universities have already published guidelines on Generative AI, with most attempting to embrace this technology responsibly. This study provides a new perspective by focusing on strategies for responsible AI governance as demonstrated in these guidelines. Through a case study of 14 prestigious universities in the United States, we identified the multi-unit governance of AI, the role-specific governance of AI, and the academic characteristics of AI governance from their AI guidelines. The strengths and potential limitations of these strategies and characteristics are discussed. The findings offer practical implications for guiding responsible AI usage in HEIs and beyond. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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27 pages, 4797 KiB  
Article
Digital Transformation in Maritime Ports: Defining Smart Gates through Process Improvement in a Portuguese Container Terminal
by Juliana Basulo-Ribeiro, Carina Pimentel and Leonor Teixeira
Future Internet 2024, 16(10), 350; https://doi.org/10.3390/fi16100350 - 27 Sep 2024
Viewed by 581
Abstract
As the digital paradigm stimulates changes in various areas, seaports, which are fundamental to logistics and the global supply chain, are also undergoing a digital revolution, evolving into smart ports. Smart gates are essential components in this transformation, playing a vital role in [...] Read more.
As the digital paradigm stimulates changes in various areas, seaports, which are fundamental to logistics and the global supply chain, are also undergoing a digital revolution, evolving into smart ports. Smart gates are essential components in this transformation, playing a vital role in increasing port efficiency. In the context of smart gates, the aim of this study is to understand how process management can serve as a catalyst for digital transformation, promoting efficiency in traffic flow and logistics. To achieve this objective, the design science research (DSR) methodology was followed, which allowed for the integration of information from several sources of requirement, encompassing both theoretical and practical aspects. The practical component took place at one of Portugal’s largest container terminals, which allowed for the integration of information from various sources. As a result, this study presents the conceptual definition of a smart gate in terms of processes, main technologies, and key performance indicators that will support the monitoring and improvement of future operations. The results provide theoretical and practical contributions: on a practical level, they present a real application of the transformation towards a smart gate, serving as a model for other ports in their digitalization; on a theoretical level, they enrich the literature with a methodology for digitalizing maritime road gates, showing how the use of process management approaches, such as the BPMN, can increase operational efficiency in container terminals. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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15 pages, 2271 KiB  
Article
Explainable Artificial Intelligence Methods to Enhance Transparency and Trust in Digital Deliberation Settings
by Ilias Siachos and Nikos Karacapilidis
Future Internet 2024, 16(7), 241; https://doi.org/10.3390/fi16070241 - 6 Jul 2024
Viewed by 1102
Abstract
Digital deliberation has been steadily growing in recent years, enabling citizens from different geographical locations and diverse opinions and expertise to participate in policy-making processes. Software platforms aiming to support digital deliberation usually suffer from information overload, due to the large amount of [...] Read more.
Digital deliberation has been steadily growing in recent years, enabling citizens from different geographical locations and diverse opinions and expertise to participate in policy-making processes. Software platforms aiming to support digital deliberation usually suffer from information overload, due to the large amount of feedback that is often provided. While Machine Learning and Natural Language Processing techniques can alleviate this drawback, their complex structure discourages users from trusting their results. This paper proposes two Explainable Artificial Intelligence models to enhance transparency and trust in the modus operandi of the above techniques, which concern the processes of clustering and summarization of citizens’ feedback that has been uploaded on a digital deliberation platform. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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12 pages, 1053 KiB  
Article
Adapting Self-Regulated Learning in an Age of Generative Artificial Intelligence Chatbots
by Joel Weijia Lai
Future Internet 2024, 16(6), 218; https://doi.org/10.3390/fi16060218 - 20 Jun 2024
Cited by 1 | Viewed by 1924
Abstract
The increasing use of generative artificial intelligence (GenAI) has led to a rise in conversations about how teachers and students should adopt these tools to enhance the learning process. Self-regulated learning (SRL) research is important for addressing this question. A popular form of [...] Read more.
The increasing use of generative artificial intelligence (GenAI) has led to a rise in conversations about how teachers and students should adopt these tools to enhance the learning process. Self-regulated learning (SRL) research is important for addressing this question. A popular form of GenAI is the large language model chatbot, which allows users to seek answers to their queries. This article seeks to adapt current SRL models to understand student learning with these chatbots. This is achieved by classifying the prompts supplied by a learner to an educational chatbot into learning actions and processes using the process–action library. Subsequently, through process mining, we can analyze these data to provide valuable insights for learners, educators, instructional designers, and researchers into the possible applications of chatbots for SRL. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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Review

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19 pages, 4595 KiB  
Review
Ontology in Hybrid Intelligence: A Concise Literature Review
by Salvatore Flavio Pileggi
Future Internet 2024, 16(8), 268; https://doi.org/10.3390/fi16080268 - 28 Jul 2024
Viewed by 1036
Abstract
In the context of the constant evolution and proliferation of AI technology, hybrid intelligence is gaining popularity in reference to a balanced coexistence between human and artificial intelligence. The term has been extensively used over the past two decades to define models of [...] Read more.
In the context of the constant evolution and proliferation of AI technology, hybrid intelligence is gaining popularity in reference to a balanced coexistence between human and artificial intelligence. The term has been extensively used over the past two decades to define models of intelligence involving more than one technology. This paper aims to provide (i) a concise and focused overview of the adoption of ontology in the broad context of hybrid intelligence regardless of its definition and (ii) a critical discussion on the possible role of ontology to reduce the gap between human and artificial intelligence within hybrid-intelligent systems, as well as (iii) the identification of possible future research directions in the field. Alongside the typical benefits provided by the effective use of ontologies at a conceptual level, the conducted analysis has highlighted a significant contribution of ontology to improving quality and accuracy, as well as a more specific role to enable extended interoperability, system engineering and explainable/transparent systems. Additionally, an application-oriented analysis has shown a significant role in present systems (70+% of cases) and, potentially, in future systems. However, despite the relatively consistent number of papers on the topic, a proper holistic discussion on the establishment of the next generation of hybrid-intelligent environments with a balanced co-existence of human and artificial intelligence is fundamentally missed in the literature. Last but not the least, there is currently a relatively low explicit focus on automatic reasoning and inference in hybrid-intelligent systems. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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Other

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21 pages, 3530 KiB  
Systematic Review
A Systematic Review and Multifaceted Analysis of the Integration of Artificial Intelligence and Blockchain: Shaping the Future of Australian Higher Education
by Mahmoud Elkhodr, Ketmanto Wangsa, Ergun Gide and Shakir Karim
Future Internet 2024, 16(10), 378; https://doi.org/10.3390/fi16100378 - 18 Oct 2024
Abstract
This study explores the applications and implications of blockchain technology in the Australian higher education system, focusing on its integration with artificial intelligence (AI). By addressing critical challenges in credential verification, administrative efficiency, and academic integrity, this integration aims to enhance the global [...] Read more.
This study explores the applications and implications of blockchain technology in the Australian higher education system, focusing on its integration with artificial intelligence (AI). By addressing critical challenges in credential verification, administrative efficiency, and academic integrity, this integration aims to enhance the global competitiveness of Australian higher education institutions. A comprehensive review of 25 recent research papers quantifies the benefits, challenges, and prospects of blockchain adoption in educational settings. Our findings reveal that 52% of the reviewed papers focus on systematic reviews, 28% focus on application-based studies, and 20% combine both approaches. The keyword analysis identified 287 total words, with “blockchain” and “education” as the most prominent themes. This study highlights blockchain’s potential to improve credential management, academic integrity, administrative efficiency, and funding mechanisms in education. However, challenges such as technical implementation (24%), regulatory compliance (32%), environmental concerns (28%), and data security risks (40%) must be addressed to achieve widespread adoption. This study also discusses critical prerequisites for successful blockchain integration, including infrastructure development, staff training, regulatory harmonisation, and the incorporation of AI for personalised learning. Our research concludes that blockchain, when strategically implemented and combined with AI, has the potential to transform the Australian higher education system, significantly enhancing its integrity, efficiency, and global competitiveness. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-systems)
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