Artificial Intelligence and Blended Learning
This is a reprint of the Special Issue “Artificial Intelligence and Blended Learning: Challenges, Opportunities, and Future Directions” in the Technology-Enhanced Education section of the Education Sciences journal. The call for papers was open from November 2024 through the end of December 2025. Th...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Onderwerpen: | |
| Online toegang: | ONIX_20260416T142754_9783725866823_7 |
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| _version_ | 1869525952114982912 |
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| collection | Directory of Open Access Books |
| description | This is a reprint of the Special Issue “Artificial Intelligence and Blended Learning: Challenges, Opportunities, and Future Directions” in the Technology-Enhanced Education section of the Education Sciences journal. The call for papers was open from November 2024 through the end of December 2025. The issue comprises eight papers—six research articles and two systematic reviews—covering a broad range of topics, including AI adoption among college students, AI readiness of pre-service teachers, prediction of segment access frequency in lecture archives, frameworks for AI-driven metaverse technologies, evaluation of the accuracy of an educational AI model, and analyses of subject-specialized chatbots. The systematic reviews focus on cybersecurity curricula and on the use of ChatGPT in teaching and learning. |
| format | Online |
| id | doab-20.500.12854ir-175352 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1753522026-04-16T20:24:54Z Artificial Intelligence and Blended Learning Ma, Will W. K. Artificial intelligence (AI) Blended learning Information systems Data analytics Adaptive learning Personalized learning Assessments and feedback Natural language processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This is a reprint of the Special Issue “Artificial Intelligence and Blended Learning: Challenges, Opportunities, and Future Directions” in the Technology-Enhanced Education section of the Education Sciences journal. The call for papers was open from November 2024 through the end of December 2025. The issue comprises eight papers—six research articles and two systematic reviews—covering a broad range of topics, including AI adoption among college students, AI readiness of pre-service teachers, prediction of segment access frequency in lecture archives, frameworks for AI-driven metaverse technologies, evaluation of the accuracy of an educational AI model, and analyses of subject-specialized chatbots. The systematic reviews focus on cybersecurity curricula and on the use of ChatGPT in teaching and learning. 2026-04-16T20:24:49Z 2026-04-16T20:24:49Z 2026 book ONIX_20260416T142754_9783725866823_7 9783725866823 9783725866830 https://directory.doabooks.org/handle/20.500.12854/175352 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12267 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6683-0 10.3390/books978-3-7258-6683-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725866823 9783725866830 160 CH open access |
| spellingShingle | Artificial intelligence (AI) Blended learning Information systems Data analytics Adaptive learning Personalized learning Assessments and feedback Natural language processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Artificial Intelligence and Blended Learning |
| title | Artificial Intelligence and Blended Learning |
| title_full | Artificial Intelligence and Blended Learning |
| title_fullStr | Artificial Intelligence and Blended Learning |
| title_full_unstemmed | Artificial Intelligence and Blended Learning |
| title_short | Artificial Intelligence and Blended Learning |
| title_sort | artificial intelligence and blended learning |
| topic | Artificial intelligence (AI) Blended learning Information systems Data analytics Adaptive learning Personalized learning Assessments and feedback Natural language processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Artificial intelligence (AI) Blended learning Information systems Data analytics Adaptive learning Personalized learning Assessments and feedback Natural language processing thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725866823_7 |