A Review on Artificial Intelligence in Education

Huang, Jiahui; Saleh, Salmiza; Liu, Yuanyuan

doi:10.36941/ajis-2021-0077

Cited by 146 publications

(86 citation statements)

References 73 publications

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“…It is proposed that public libraries should fundamentally improve their service concepts and change their roles, share the successful experience of TEDA Library in providing information services based on enterprise customer orientation, and elaborate on the necessity of libraries to provide information on science and technology innovation from various perspectives such as enterprise market distribution, enterprise needs, enterprise problem orientation, collection information updating, librarian quality improvement, and scientific and technological support. By analyzing the feasibility of the library to provide science and technology information services for the development of SMEs, a specific organization and coordination method for information provision and a detailed operation plan are formulated [ 7 ].…”

Section: Current Status Of Researchmentioning

confidence: 99%

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Maia

2021

Computational and Mathematical Methods in Medicine

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This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of the SICAS model, a model of enterprise and user information interaction characteristics in the new media environment is constructed, and social network analysis and semantic analysis methods are used to research enterprise and user information interaction characteristics in the new media environment. The point degree centrality index is used to analyze forwarding and being forwarded behavior in information interaction, the intermediate centrality index is used to analyze following and being followed behavior, the proximity centrality index is used to analyze commenting and being commented behavior, the feature vector centrality index is used to analyze the cohesiveness of information interaction behavior, and the semantic keyword word is used to analyze the semantic keyword word in the research process. The results of the study show that the constructed model can analyze the information interaction behaviors of enterprises and users in the new media environment. The research results show that the constructed model can systematically analyze the information interaction characteristics, and the information interaction between enterprises and users in the new media environment is more timely, more effective, and more satisfying to users. The current situation of the construction of the public information platform and the problems existing in the construction are proposed to achieve the standardization of the construction of the public information platform in the context of smart city, the construction of the platform supervision system, and the strengthening of information security publicity and talent training. To offer a suitable platform and provide efficient solutions for the development of a public information service platform in the city, enhance the professional quality of research papers and dissertations, as well as the solutions’ operability. More public services will be provided in a highly connected way across the boundaries between government, enterprises, society, and citizens and even form a public service market that accepts autonomous choices and becomes an important part of the digital economy, thus finding a good balance between economic development and social welfare.

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Section: Current Status Of Researchmentioning

confidence: 99%

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Maia

2021

Computational and Mathematical Methods in Medicine

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“…With the rapid development of AI technology in recent years, using AI in education has become more and more apparent. The emergence of these innovative technologies on teaching and learning methods is extremely beneficial in the classroom and significant (Shafie, 2019;Huang, 2021) as it enables teachers to access more current information, which improves their teaching as its attractive, easy, relevant, interactive and give learning experiences more effectively (Huang, 2021). With these advantages, teachers should be able to successfully integrate digital technologies into the teaching and learning process and derivative technological opportunities (Bozkurt et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The conceptions view educational technology as a collection of tools that assist teachers in tailoring their teaching methods to the needs of individual students and allowing for student choice while monitoring student progress and providing scaffolds and feedback. The application of AI in education has enabled the complete integration of teaching and learning and the possibility of reforming teaching and learning (Huang, 2021). The article discusses the application of artificial intelligence in education, including adaptive learning, teacher evaluation, and virtual classrooms.…”

Section: The Technologies and Potentialsmentioning

confidence: 99%

Trends on Technologies and Artificial Intelligence in Education for Personalized Learning: Systematic Literature Review

Hashim¹,

Omar²,

Jalil³

et al. 2022

IJARPED

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The continuous development of new technology and rapid advancement of Artificial Intelligence (AI) contribute to the improvement and enrichment of the teaching and learning process. AI technology promotes a flexible, customized, and effective learning environment, as well as improves other educational competencies via personalized learning. To create a personalized learning environment, AI collects, compiles, and interprets data from a variety of sources to create student learning profiles. However, a lack of information exists on incorporating AI technology into educational settings to promote teaching efficiency in Malaysia. AI technology helps to predict how well students will learn, so we can make content that is tailored to each person's goal and past success. To gain a better understanding of the concept and implementation of a personalized learning environment employing AI technology, a systematic literature review (SLR) was conducted to identify the trends of technologies and Artificial Intelligence in Education (AIEd) in promoting personalized learning. SLR has become the standard methodology for identifying answers by tracing the outcomes of past research by identifying and synthesising significant findings using systematic, transparent and repeatable techniques at each stage of the process. The literature search was performed in SCOPUS and Web of Sciences WoS) database and thirty-two articles from the years 2016 to 2022 were initially reviewed. From this number, 14 articles were included for analysis. Based on the findings, most learning elements, such as technology, teaching approach, teaching content can be adapted to each student's needs and learning intent in personalized learning. Personalised learning using AI is an approach that focuses on generating training to match the specific needs of each student such as in adaptive learning, online learning, MOOCs, and many other technologies. A few approaches on the other hand, appear to witness technological advancement as providing opportunities for individualised learning by applying analytical tools and algorithms to create automated adaptive learning activities and materials. The study of technologies for personalized learning in education in other nations has primarily concentrated on higher education, and it is advised that the scope of the research be expanded. In Malaysia. the implementation of these technologies in education should be bolstered. The research and practices reported in the study also show

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“…AI is being used in the educational sector to build smart campus, and obtain intelligent teaching, learning and management (Huang et al, 2021). Some AI technologies such as image recognition technology, face recognition technology and adaptive learning have been used in the educational sector to enhance teachers' work efficiency (Kuo, 2020) and student's learning experience (Cui et al, 2019).…”

Section: Impact Of Machine Learning and Artificial Intelligence On Io...mentioning

confidence: 99%

Factors Influencing the Acceptance and Use of Internet of Things by Universities

Ajigini

2022

Information Resources Management Journal

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Internet of Things (IoT) is a new concept bringing revolution to higher educational institutions through its usage by providing smart education and better learning outcomes. It has generated new interest and complexities for researchers as well as academicians in higher educational institutions. In this paper, factors influencing the acceptance and usage of IoT in higher educational institutions were developed. Additionally, a model for consenting and using IoT in higher educational institutions was developed. This study laid a foundation for a comprehensive model based on the UTAUT framework. Regression analysis was carried out to obtain the factors that predicts the acceptance and usage of IoT in higher educational institutions. All test results were reliable and valid. The study demonstrates how university administrators can use IoT technologies to improve educational operations and outcomes.

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A Review on Artificial Intelligence in Education

Cited by 146 publications

References 73 publications

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence

Trends on Technologies and Artificial Intelligence in Education for Personalized Learning: Systematic Literature Review

Factors Influencing the Acceptance and Use of Internet of Things by Universities

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