The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review
The integration of artificial intelligence in education has the potential to revolutionize personalized learning by adapting instructional methods, content, and pace to the individual needs of students. This systematic review investigates the integration of artificial intelligence into personalized...
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| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Trends in Higher Education |
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| Online Access: | https://www.mdpi.com/2813-4346/4/2/17 |
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| author | Carlos Merino-Campos |
| author_facet | Carlos Merino-Campos |
| author_sort | Carlos Merino-Campos |
| collection | DOAJ |
| description | The integration of artificial intelligence in education has the potential to revolutionize personalized learning by adapting instructional methods, content, and pace to the individual needs of students. This systematic review investigates the integration of artificial intelligence into personalized learning within higher education. An extensive literature search was conducted across multiple databases, yielding 17,899 records from which 45 studies met the inclusion criteria. The risk of bias was assessed using a standardized ranking system. This systematic review follows the PRISMA guidelines to ensure transparency in study selection, data extraction, and synthesis. The findings of the review are synthesized to examine how AI-driven solutions enhance adaptive learning, improve student engagement, and streamline administrative processes. The results indicate that AI technologies can significantly optimize educational outcomes by tailoring content and feedback to individual learner needs. However, several challenges persist, such as ethical concerns, data privacy issues, and the necessity for effective teacher training to support technology integration. This analysis reveals considerable potential for AI to transform educational practices, while also emphasizing the importance of establishing standardized evaluation frameworks and conducting longitudinal studies. The implications of these findings are critical for educators, policymakers, and university administrators aiming to leverage AI for educational innovation and sustainable transformation. |
| format | Article |
| id | doaj-art-9dd8ebe17f044dfea7b21d3d5ed89ac0 |
| institution | Kabale University |
| issn | 2813-4346 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Trends in Higher Education |
| spelling | doaj-art-9dd8ebe17f044dfea7b21d3d5ed89ac02025-08-20T03:24:36ZengMDPI AGTrends in Higher Education2813-43462025-03-01421710.3390/higheredu4020017The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic ReviewCarlos Merino-Campos0Department of Educational Sciences, Universidad de Alcalá, 28801 Alcalá de Henares, Madrid, SpainThe integration of artificial intelligence in education has the potential to revolutionize personalized learning by adapting instructional methods, content, and pace to the individual needs of students. This systematic review investigates the integration of artificial intelligence into personalized learning within higher education. An extensive literature search was conducted across multiple databases, yielding 17,899 records from which 45 studies met the inclusion criteria. The risk of bias was assessed using a standardized ranking system. This systematic review follows the PRISMA guidelines to ensure transparency in study selection, data extraction, and synthesis. The findings of the review are synthesized to examine how AI-driven solutions enhance adaptive learning, improve student engagement, and streamline administrative processes. The results indicate that AI technologies can significantly optimize educational outcomes by tailoring content and feedback to individual learner needs. However, several challenges persist, such as ethical concerns, data privacy issues, and the necessity for effective teacher training to support technology integration. This analysis reveals considerable potential for AI to transform educational practices, while also emphasizing the importance of establishing standardized evaluation frameworks and conducting longitudinal studies. The implications of these findings are critical for educators, policymakers, and university administrators aiming to leverage AI for educational innovation and sustainable transformation.https://www.mdpi.com/2813-4346/4/2/17intelligent tutoring systemsadaptive learning environmentsdata-driven educationlearning analyticseducational innovation |
| spellingShingle | Carlos Merino-Campos The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review Trends in Higher Education intelligent tutoring systems adaptive learning environments data-driven education learning analytics educational innovation |
| title | The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review |
| title_full | The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review |
| title_fullStr | The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review |
| title_full_unstemmed | The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review |
| title_short | The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review |
| title_sort | impact of artificial intelligence on personalized learning in higher education a systematic review |
| topic | intelligent tutoring systems adaptive learning environments data-driven education learning analytics educational innovation |
| url | https://www.mdpi.com/2813-4346/4/2/17 |
| work_keys_str_mv | AT carlosmerinocampos theimpactofartificialintelligenceonpersonalizedlearninginhighereducationasystematicreview AT carlosmerinocampos impactofartificialintelligenceonpersonalizedlearninginhighereducationasystematicreview |