Adaptive learning and artificial intelligence in the educational space
Educational technologies leverage artificial intelligence and adaptive learning algorithms to analyze learners' performance and provide personalized feedback and recommendations. This helps identify areas of improvement and tailor learning experiences accordingly. Adaptive learning and artifici...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/88/e3sconf_esmgt2023_06011.pdf |
| _version_ | 1797345421190758400 |
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| author | Akavova Aida Temirkhanova Zarema Lorsanova Zarina |
| author_facet | Akavova Aida Temirkhanova Zarema Lorsanova Zarina |
| author_sort | Akavova Aida |
| collection | DOAJ |
| description | Educational technologies leverage artificial intelligence and adaptive learning algorithms to analyze learners' performance and provide personalized feedback and recommendations. This helps identify areas of improvement and tailor learning experiences accordingly. Adaptive learning and artificial intelligence (AI) have emerged as powerful tools in the field of education, revolutionizing traditional teaching methods. This article explores the integration of adaptive learning technologies with AI algorithms to personalize and enhance the learning experience for students. The use of AI allows for the collection and analysis of vast amounts of data, enabling the system to adapt and tailor the content and delivery of educational materials to meet the individual needs of each student. By continuously monitoring and evaluating student performance, AI algorithms can identify areas of weakness and provide targeted interventions to address them. This personalized approach not only improves learning outcomes but also promotes student engagement and motivation. Additionally, AI-powered adaptive learning systems have the potential to assist teachers by automating administrative tasks, providing real-time feedback, and generating comprehensive progress reports. However, challenges such as privacy concerns, ethical considerations, and the need for teacher training in utilizing these technologies must be addressed. Overall, the integration of adaptive learning and AI holds great promise in transforming education by creating personalized and effective learning experiences for students. |
| first_indexed | 2024-03-08T11:17:23Z |
| format | Article |
| id | doaj.art-65a373e7022b4b0eaa3386e442ec8efb |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:17:23Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-65a373e7022b4b0eaa3386e442ec8efb2024-01-26T10:28:29ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014510601110.1051/e3sconf/202345106011e3sconf_esmgt2023_06011Adaptive learning and artificial intelligence in the educational spaceAkavova Aida0Temirkhanova Zarema1Lorsanova Zarina2Dagestan State University of National EconomyDagestan State Technical UniversityKadyrov Chechen State UniversityEducational technologies leverage artificial intelligence and adaptive learning algorithms to analyze learners' performance and provide personalized feedback and recommendations. This helps identify areas of improvement and tailor learning experiences accordingly. Adaptive learning and artificial intelligence (AI) have emerged as powerful tools in the field of education, revolutionizing traditional teaching methods. This article explores the integration of adaptive learning technologies with AI algorithms to personalize and enhance the learning experience for students. The use of AI allows for the collection and analysis of vast amounts of data, enabling the system to adapt and tailor the content and delivery of educational materials to meet the individual needs of each student. By continuously monitoring and evaluating student performance, AI algorithms can identify areas of weakness and provide targeted interventions to address them. This personalized approach not only improves learning outcomes but also promotes student engagement and motivation. Additionally, AI-powered adaptive learning systems have the potential to assist teachers by automating administrative tasks, providing real-time feedback, and generating comprehensive progress reports. However, challenges such as privacy concerns, ethical considerations, and the need for teacher training in utilizing these technologies must be addressed. Overall, the integration of adaptive learning and AI holds great promise in transforming education by creating personalized and effective learning experiences for students.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/88/e3sconf_esmgt2023_06011.pdf |
| spellingShingle | Akavova Aida Temirkhanova Zarema Lorsanova Zarina Adaptive learning and artificial intelligence in the educational space E3S Web of Conferences |
| title | Adaptive learning and artificial intelligence in the educational space |
| title_full | Adaptive learning and artificial intelligence in the educational space |
| title_fullStr | Adaptive learning and artificial intelligence in the educational space |
| title_full_unstemmed | Adaptive learning and artificial intelligence in the educational space |
| title_short | Adaptive learning and artificial intelligence in the educational space |
| title_sort | adaptive learning and artificial intelligence in the educational space |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/88/e3sconf_esmgt2023_06011.pdf |
| work_keys_str_mv | AT akavovaaida adaptivelearningandartificialintelligenceintheeducationalspace AT temirkhanovazarema adaptivelearningandartificialintelligenceintheeducationalspace AT lorsanovazarina adaptivelearningandartificialintelligenceintheeducationalspace |