University Performance in the Age of Research Analytics

Cantú-Ortiz, Francisco J.; Fangmeyer, James

doi:10.1201/9781315155890-13

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…Specifically, articles available in the Scopus electronic database up until 21 January 2022 were utilized as the principal source of information for the search. This database was chosen over others like ScienceDirect and Web of Science because it is the "largest abstract and citation database of peer-reviewed literature" [45]. Furthermore, Scopus indexes practically the whole ScienceDirect database, and Scopus offers a greater choice of journals than Web of Science, as well as quicker citation analysis and coverage of more articles [46].…”

Section: Methodsmentioning

confidence: 99%

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Egwim,

Alaka,

Demir

et al. 2023

Energies

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In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling to catch up with latest developments. A formidable digital technology, artificial intelligence (AI), is recognized as an essential element within the paradigm of digital transformation, having been widely adopted across different industries. Also, AI is anticipated to open a slew of new possibilities for how construction projects are designed and built. To obtain a better knowledge of the trend and trajectory of research concerning AI technology application in the construction industry, this research presents an exhaustive systematic review of seventy articles toward AI applicability to the entire lifecycle of the construction value chain identified via the guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review’s findings show foremostly that AI technologies are mostly used in facility management, creating a huge opportunity for the industry to profit by allowing facility managers to take proactive action. Secondly, it shows the potential for design expansion as a key benefit according to most of the selected literature. Finally, it found data augmentation as one of the quickest prospects for technical improvement. This knowledge will assist construction companies across the world in recognizing the efficiency and productivity advantages that AI technologies can provide while helping them make smarter technology investment decisions.

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Section: Methodsmentioning

confidence: 99%

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Egwim,

Alaka,

Demir

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…The evaluation index is a generalization and distillation of the elements of the evaluation object, and the overall evaluation of vocational colleges should reflect the balance of index pointing and the rationality of index setting [2]. It should conform to the principles of scientificity, comparability, operability, and quantifiability [3]. The data selected for this paper are mainly from the education statistics on the official website of the Ministry of Education, the statistical bulletin on education advance, and the Annual Report on the Quality of Vocational Education in China published on the website of Modern Higher Vocational Education, etc.…”

Section: Principles Of Selecting Indicatorsmentioning

confidence: 99%

A comprehensive competitiveness evaluation model for higher vocational colleges based on factor analysis and K-means method

Pang

2023

Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022)

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In the context of the revision of the new version of the Vocational Education Law, the existing comprehensive competitiveness ranking of higher vocational institutions and the setting standards of undergraduate level vocational institutions were combined. The 56 institutions with good development in the field of vocational education were used as the research objects, and the index extraction and weight calculation of the collected data were carried out by using factor analysis method. Principal component analysis was used for indicator extraction, and the Kaiser normalized maximum variance method was used for weight calculation. The classification of indicators at each level is analyzed and corrected using the Kmeans method. The final evaluation system will be set with reference to the actual situation. It is expected that the evaluation results will make effective suggestions for the development of the institutions.

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“…Even the development of the world today has contributed. is is a mirror of the progress of human society and should be regarded as a sign of human development [19]. Compared with smart museums, from the perspective of user groups, smart museum buildings are more to provide visitors with functional objects, which can provide visitors who enter the museum with a better experience and participation, as well as the integration of more wisdom.…”

Section: Artificial Intelligence and Smart Museummentioning

confidence: 99%

Digital Design of Smart Museum Based on Artificial Intelligence

Wang

2021

Mobile Information Systems

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Today, as the soft power of culture is becoming more and more important, it is very important to pay attention to the learning and dissemination of culture. As the carrier of this process, the use of advanced technology to improve the museum is of great significance. This paper studies the digital design of smart museum based on artificial intelligence in order to explore the application of smart museum in artificial intelligence, analyze the spatial design of smart museum by using digital technology, explore a feasible method to give full play to the function of smart museum, and put forward some suggestions on the spatial design of smart museum. The design of the smart museum is no longer restricted by time and space and uses digital technology to double use virtual things and dynamic space. Through the detailed analysis of the application of artificial intelligence and digitization in the spatial design of the smart museum, combined with the information decision tree algorithm and data heterogeneous network algorithm, this study constructs the model of the information processing architecture of smart museum and the requirements of digital museum and makes a decision-making analysis of the comparison results of existing data. It includes the digital design of smart museum display technology, display effect, and other display-related contents. Analyzing the impact of smart museum on the object can provide data support for the feasibility of digital space design of smart museum based on artificial intelligence. The results of regression data processing show that the spatial visual sense of digital design wisdom museum is very strong, reaching the level of 5.0, and the picture aesthetic effect is up to 4.8.

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University Performance in the Age of Research Analytics

Cited by 7 publications

References 1 publication

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle

A comprehensive competitiveness evaluation model for higher vocational colleges based on factor analysis and K-means method

Digital Design of Smart Museum Based on Artificial Intelligence

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