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20 pages, 1231 KB

Open AccessReview

Integrating Natural Language Processing with 4D BIM: A Review and Thematic Synthesis

by Mohamed ElSaadany, Ibrahim Motawa and Asser El Sheikh

Information 2025, 16(6), 457; https://doi.org/10.3390/info16060457 - 29 May 2025

Viewed by 1543

This paper explores the integration of Natural Language Processing (NLP) and 4D Building Information Modeling (BIM). The integration of knowledge disciplines facilitates the emergence of new trends. One form of this integration is the use of artificial intelligence (AI). Recently, the BIM literature has expanded with the application of AI technology. However, AI and BIM are broad domains, and each of them encompasses multiple sub-domains. NLP, a well-established sub-domain of AI, enables computers to understand and communicate using human language. Conversely, 4D BIM is a specific area within BIM that facilitates the integration of BIM models with construction schedules. While existing literature explores the integration of each sub-domain with other major fields—such as the interplay between NLP and BIM and the connection between 4D BIM and AI—a significant gap remains in integrating the two sub-domains of NLP and 4D BIM. To provide state-of-the-art research for this integration, this paper presents a review to investigate the building blocks of both chains. This review aims to evaluate the literature, synthesize information, and identify potential research gaps. It uses a qualitative research methodology to facilitate a thorough examination of data from 122 articles. This supports the identification of 72 topics, eight 4D BIM themes, and five NLP themes. Full article

(This article belongs to the Special Issue AI Applications in Construction and Infrastructure)

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19 pages, 910 KB

Open AccessArticle

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

by Mohammed Amin Almaiah, Raghad Alfaisal, Said A. Salloum, Fahima Hajjej, Rima Shishakly, Abdalwali Lutfi, Mahmaod Alrawad, Ahmed Al Mulhem, Tayseer Alkhdour and Rana Saeed Al-Maroof

Electronics 2022, 11(20), 3291; https://doi.org/10.3390/electronics11203291 - 12 Oct 2022

Cited by 156 | Viewed by 22388

Abstract

Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the different services it offers. This study aims to investigate users’ experiences with AIA for governmental purposes in the Gulf area. The conceptual model comprises the adoption properties (namely trialability, observability, compatibility, and complexity), relative advantage, ease of doing business, and technology export. The novelty of the paper lies in its conceptual model that correlates with both personal characteristics and technology-based features. The results show that the variables of diffusion theory have a positive impact on the two variables of ease of doing business and technology export. The practical implications of the current study are significant. We urge the concerned authorities in the governmental sector to understand the significance of each factor and encourage them to make plans, according to the order of significance of the factors. The managerial implications provide insights into the implementation of AIA in governmental systems to enhance the development of the services they offer and to facilitate their use by all users. Full article

(This article belongs to the Special Issue Mobile Learning and Technology Enhanced Learning during COVID-19)

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11 pages, 3049 KB

Open AccessReview

Academic and Administrative Role of Artificial Intelligence in Education

by Sayed Fayaz Ahmad, Muhammad Mansoor Alam, Mohd. Khairil Rahmat, Muhammad Shujaat Mubarik and Syed Irfan Hyder

Sustainability 2022, 14(3), 1101; https://doi.org/10.3390/su14031101 - 19 Jan 2022

Cited by 173 | Viewed by 34062

Abstract

The aim of the article is to explore the academic and administrative applications of Artificial Intelligence. Teachers have the main responsibility of teaching in any educational setting. But there are various other tasks to be performed by the teachers as well. Besides academic duty, most of the teacher’s time and educational resources are dedicated to administrative works. Artificial Intelligence Applications (AIA) are not only assisting education academically and administratively but also enhance their effectiveness. AIA provides help to teachers in various types of tasks in the shape of Learning Analytics (LA), Virtual Reality (VR), Grading/Assessments (G/A), and Admissions. It minimizes the administrative tasks of a teacher to invest more in teaching and guiding students. In the current era, where there are a lot of tasks associated with the teaching profession, AIA adds a significant contribution to enhance student learning, minimize the workload of a teacher, grade/assess the students effectively and easily, and to help in a lot of other administrative tasks. The study needs to be quantitatively checked to make it generalized and acceptable. Full article

(This article belongs to the Section Sustainable Education and Approaches)

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11 pages, 239 KB

Open AccessViewpoint

Artificial Intelligence and Its Role in Education

by Sayed Fayaz Ahmad, Mohd. Khairil Rahmat, Muhammad Shujaat Mubarik, Muhammad Mansoor Alam and Syed Irfan Hyder

Sustainability 2021, 13(22), 12902; https://doi.org/10.3390/su132212902 - 22 Nov 2021

Cited by 171 | Viewed by 46372

Abstract

The objective of this study is to explore the role of artificial intelligence applications (AIA) in education. AI applications provide the solution in many ways to the exponential rise of modern-day challenges, which create difficulties in access to education and learning. They play a significant role in forming social robots (SR), smart learning (SL), and intelligent tutoring systems (ITS) to name a few. The review indicates that the education sector should also embrace the modern methods of teaching and the necessary technology. Looking into the flow, the education sector organizations need to adopt AI technologies as a necessity of the day and education. The study needs to be tested statistically for better understanding and to make the findings more generalized in the future. Full article

(This article belongs to the Topic Advances in Online and Distance Learning)

15 pages, 291 KB

Open AccessArticle

The European Commission’s Proposal for an Artificial Intelligence Act—A Critical Assessment by Members of the Robotics and AI Law Society (RAILS)

by Martin Ebers, Veronica R. S. Hoch, Frank Rosenkranz, Hannah Ruschemeier and Björn Steinrötter

J 2021, 4(4), 589-603; https://doi.org/10.3390/j4040043 - 8 Oct 2021

Cited by 39 | Viewed by 28112

Abstract

On 21 April 2021, the European Commission presented its long-awaited proposal for a Regulation “laying down harmonized rules on Artificial Intelligence”, the so-called “Artificial Intelligence Act” (AIA). This article takes a critical look at the proposed regulation. After an introduction (1), the paper analyzes the unclear preemptive effect of the AIA and EU competences (2), the scope of application (3), the prohibited uses of Artificial Intelligence (AI) (4), the provisions on high-risk AI systems (5), the obligations of providers and users (6), the requirements for AI systems with limited risks (7), the enforcement system (8), the relationship of the AIA with the existing legal framework (9), and the regulatory gaps (10). The last section draws some final conclusions (11). Full article

(This article belongs to the Special Issue The Impact of Artificial Intelligence on Law)

21 pages, 523 KB

Open AccessReview

Healthcare Applications of Artificial Intelligence and Analytics: A Review and Proposed Framework

by Sabrina Azzi, Stéphane Gagnon, Alex Ramirez and Gregory Richards

Appl. Sci. 2020, 10(18), 6553; https://doi.org/10.3390/app10186553 - 19 Sep 2020

Cited by 31 | Viewed by 16860

Abstract

Healthcare is considered as one of the most promising application areas for artificial intelligence and analytics (AIA) just after the emergence of the latter. AI combined to analytics technologies is increasingly changing medical practice and healthcare in an impressive way using efficient algorithms from various branches of information technology (IT). Indeed, numerous works are published every year in several universities and innovation centers worldwide, but there are concerns about progress in their effective success. There are growing examples of AIA being implemented in healthcare with promising results. This review paper summarizes the past 5 years of healthcare applications of AIA, across different techniques and medical specialties, and discusses the current issues and challenges, related to this revolutionary technology. A total of 24,782 articles were identified. The aim of this paper is to provide the research community with the necessary background to push this field even further and propose a framework that will help integrate diverse AIA technologies around patient needs in various healthcare contexts, especially for chronic care patients, who present the most complex comorbidities and care needs. Full article

(This article belongs to the Special Issue 10th Anniversary of Applied Sciences: Invited Papers in Applied Biosciences and Bioengineering Section)

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