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Human Intelligence Analysis through Perception of AI in Teaching and Learning
Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of arti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206552/ https://www.ncbi.nlm.nih.gov/pubmed/35726295 http://dx.doi.org/10.1155/2022/9160727 |
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author | Kshirsagar, Pravin R. Jagannadham, D. B. V. Alqahtani, Hamed Noorulhasan Naveed, Quadri Islam, Saiful Thangamani, M. Dejene, Minilu |
author_facet | Kshirsagar, Pravin R. Jagannadham, D. B. V. Alqahtani, Hamed Noorulhasan Naveed, Quadri Islam, Saiful Thangamani, M. Dejene, Minilu |
author_sort | Kshirsagar, Pravin R. |
collection | PubMed |
description | Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students' assistance, teaching, learning, and administration are also addressed in the discussion of students' adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students' attributes and introduce predictions of future learning success. The teaching process may be carried out in a more efficient manner using the hybrid mode. Educators and scientists alike will benefit from artificial intelligence algorithms that may be used to extract useful information from the vast amounts of data collected on human behavior. |
format | Online Article Text |
id | pubmed-9206552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92065522022-06-19 Human Intelligence Analysis through Perception of AI in Teaching and Learning Kshirsagar, Pravin R. Jagannadham, D. B. V. Alqahtani, Hamed Noorulhasan Naveed, Quadri Islam, Saiful Thangamani, M. Dejene, Minilu Comput Intell Neurosci Research Article Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students' assistance, teaching, learning, and administration are also addressed in the discussion of students' adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students' attributes and introduce predictions of future learning success. The teaching process may be carried out in a more efficient manner using the hybrid mode. Educators and scientists alike will benefit from artificial intelligence algorithms that may be used to extract useful information from the vast amounts of data collected on human behavior. Hindawi 2022-06-11 /pmc/articles/PMC9206552/ /pubmed/35726295 http://dx.doi.org/10.1155/2022/9160727 Text en Copyright © 2022 Pravin R. Kshirsagar et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kshirsagar, Pravin R. Jagannadham, D. B. V. Alqahtani, Hamed Noorulhasan Naveed, Quadri Islam, Saiful Thangamani, M. Dejene, Minilu Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title | Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title_full | Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title_fullStr | Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title_full_unstemmed | Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title_short | Human Intelligence Analysis through Perception of AI in Teaching and Learning |
title_sort | human intelligence analysis through perception of ai in teaching and learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206552/ https://www.ncbi.nlm.nih.gov/pubmed/35726295 http://dx.doi.org/10.1155/2022/9160727 |
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