{"title":"整合先进技术促进可持续智慧校园发展:近期研究综述","authors":"Menatalla Haggag , Adel Oulefki , Abbes Amira , Fatih Kurugollu , Emad S. Mushtaha , Bassel Soudan , Khaled Hamad , Sebti Foufou","doi":"10.1016/j.aei.2025.103412","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of advanced technologies in higher education has revolutionized the concept of Smart Campus (SC), making it a dynamic hub of sustainability and technological innovation. Despite their potential, the comprehensive integration of these technologies presents significant challenges, especially in achieving optimal utilization without compromising privacy and security. This survey investigates how various advanced technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin (DT), contribute to the evolution of SCs. It aims to address the critical gaps in technology implementation and assesses the barriers to effective integration. The methodology employs a structured literature analysis, focusing on recent studies to identify gaps in current research and evaluate the effectiveness of different technologies through both theoretical and practical lenses. Various data analysis techniques, including bibliometric analysis and taxonomy-based assessments, are used to map the scientific landscape and quantify the influence of studies across the field. The findings reveal that the strategic application of these technologies significantly enhances operational efficiencies, actively promotes sustainability practices, and fosters adaptive and responsive educational environments. However, challenges such as integration complexity, privacy concerns, and substantial initial investments remain prominent. Continuous efforts are necessary to overcome these challenges, with future research focusing on creating more resilient and adaptable integration frameworks that align technological advancements with educational needs, supporting the continuous growth and relevance of SCs in a rapidly changing digital era. This review serves as a fundamental reference for stakeholders aiming to understand and leverage the advancements in technology for educational innovations on SCs.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"66 ","pages":"Article 103412"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating advanced technologies for sustainable Smart Campus development: A comprehensive survey of recent studies\",\"authors\":\"Menatalla Haggag , Adel Oulefki , Abbes Amira , Fatih Kurugollu , Emad S. Mushtaha , Bassel Soudan , Khaled Hamad , Sebti Foufou\",\"doi\":\"10.1016/j.aei.2025.103412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The integration of advanced technologies in higher education has revolutionized the concept of Smart Campus (SC), making it a dynamic hub of sustainability and technological innovation. Despite their potential, the comprehensive integration of these technologies presents significant challenges, especially in achieving optimal utilization without compromising privacy and security. This survey investigates how various advanced technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin (DT), contribute to the evolution of SCs. It aims to address the critical gaps in technology implementation and assesses the barriers to effective integration. The methodology employs a structured literature analysis, focusing on recent studies to identify gaps in current research and evaluate the effectiveness of different technologies through both theoretical and practical lenses. Various data analysis techniques, including bibliometric analysis and taxonomy-based assessments, are used to map the scientific landscape and quantify the influence of studies across the field. The findings reveal that the strategic application of these technologies significantly enhances operational efficiencies, actively promotes sustainability practices, and fosters adaptive and responsive educational environments. However, challenges such as integration complexity, privacy concerns, and substantial initial investments remain prominent. Continuous efforts are necessary to overcome these challenges, with future research focusing on creating more resilient and adaptable integration frameworks that align technological advancements with educational needs, supporting the continuous growth and relevance of SCs in a rapidly changing digital era. This review serves as a fundamental reference for stakeholders aiming to understand and leverage the advancements in technology for educational innovations on SCs.</div></div>\",\"PeriodicalId\":50941,\"journal\":{\"name\":\"Advanced Engineering Informatics\",\"volume\":\"66 \",\"pages\":\"Article 103412\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Engineering Informatics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1474034625003052\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474034625003052","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Integrating advanced technologies for sustainable Smart Campus development: A comprehensive survey of recent studies
The integration of advanced technologies in higher education has revolutionized the concept of Smart Campus (SC), making it a dynamic hub of sustainability and technological innovation. Despite their potential, the comprehensive integration of these technologies presents significant challenges, especially in achieving optimal utilization without compromising privacy and security. This survey investigates how various advanced technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin (DT), contribute to the evolution of SCs. It aims to address the critical gaps in technology implementation and assesses the barriers to effective integration. The methodology employs a structured literature analysis, focusing on recent studies to identify gaps in current research and evaluate the effectiveness of different technologies through both theoretical and practical lenses. Various data analysis techniques, including bibliometric analysis and taxonomy-based assessments, are used to map the scientific landscape and quantify the influence of studies across the field. The findings reveal that the strategic application of these technologies significantly enhances operational efficiencies, actively promotes sustainability practices, and fosters adaptive and responsive educational environments. However, challenges such as integration complexity, privacy concerns, and substantial initial investments remain prominent. Continuous efforts are necessary to overcome these challenges, with future research focusing on creating more resilient and adaptable integration frameworks that align technological advancements with educational needs, supporting the continuous growth and relevance of SCs in a rapidly changing digital era. This review serves as a fundamental reference for stakeholders aiming to understand and leverage the advancements in technology for educational innovations on SCs.
期刊介绍:
Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.