KFU. Card publication. Analysis on the Cutting-Edge Approach to Assess Artificial Intelligence's Educational Consequences in Contemporary Studies

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ANALYSIS ON THE CUTTING-EDGE APPROACH TO ASSESS ARTIFICIAL INTELLIGENCE'S EDUCATIONAL CONSEQUENCES IN CONTEMPORARY STUDIES

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Bagautdinov Albert Albinovich, author

Koroleva Natalya Evgenevna, author

Other authors

Kollati Vijaya Kumar , author

Bibliographic description in the original language

Bagautdinov, A., Koroleva, N., Puchinina, O., & Kumar, K. V. (2024). Analysis on the Cutting-Edge Approach to Assess Artificial Intelligence's Educational Consequences in Contemporary Studies. Lecture Notes in Networks and Systems, 1147 LNNS, 219–231. DOI: 10.1007/978-981-97-7880-5_19 DOI: https://doi.org/10.1007/978-981-97-7880-5_19 URL: https://link.springer.com/chapter/10.1007/978-981-97-7880-5_19

Annotation

Lecture Notes in Networks and Systems

Keywords

Artificial intelligence (AI) ? Contemporary studies ? Machine learning ? AI education system

The name of the journal

Lecture Notes in Networks and Systems

URL

https://link.springer.com/chapter/10.1007/978-981-97-7880-5_19

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=307421&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bagautdinov Albert Albinovich	ru_RU
dc.contributor.author	Koroleva Natalya Evgenevna	ru_RU
dc.contributor.author	Kollati Vijaya Kumar	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Bagautdinov, A., Koroleva, N., Puchinina, O., & Kumar, K. V. (2024). Analysis on the Cutting-Edge Approach to Assess Artificial Intelligence's Educational Consequences in Contemporary Studies. Lecture Notes in Networks and Systems, 1147 LNNS, 219–231. DOI: 10.1007/978-981-97-7880-5_19 DOI: https://doi.org/10.1007/978-981-97-7880-5_19 URL: https://link.springer.com/chapter/10.1007/978-981-97-7880-5_19	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=307421&p_lang=2	ru_RU
dc.description.abstract	Lecture Notes in Networks and Systems	ru_RU
dc.description.abstract	The main goal of the present review is to assess how AI may affect education. Preliminary research indicates that AI is useful only in the fields of education and management. After a study of the literature, the research took a more qualitative method, highlighting the potential benefits of AI's widespread application as well as its wide range of applications. The goal of the computer science branch of AI is to create machines that resemble humans and have the capacity to carry out tasks using datasets. AI has the potential to surpass human performance in tasks by learning from the data it receives. When AI first emerged, related to computers technologies and services were the only focus. An online intelligent educational system is currently available as a result of AI's integration with many technologies, including those linked to the Web. By using these online learning resources, many teachers have been able to complete various proctoring responsibilities, such as monitoring each student's progress and assigning and grading grades to students. The benefits mentioned above have led to advancements in both administration and education. Thanks to AI and machine learning, students can now receive individualized instruction. Allowing students to select, retake, or save multiple types of material for future reference could help them learn.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Analysis on the Cutting-Edge Approach to Assess Artificial Intelligence's Educational Consequences in Contemporary Studies	ru_RU
dc.type	Articles in international journals and collections	ru_RU