Angulo Mendoza, Gustavo Adolfo, de Benito Crosetti, Barbara, Orellana Hernandez, Martha Lucia et Aguas Núñez, Roberto Luis (2026). Generative AI conversational agents in higher education: A meta-review of literature. Dans Proceedings of EdMedia 2026 Edinburgh (p. 764-769). Waynesville, NC : Association for the Advancement of Computing in Education (AACE).
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| Catégorie de document : | Communications dans des actes de congrès/colloques |
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| Évaluation par un comité de lecture : | Oui |
| Étape de publication : | Publié |
| Résumé : | This paper presents a systematic meta-review examining the current state of knowledge on the use of generative AI-based conversational agents in online and hybrid higher education settings. Through searches across four academic databases (ERIC, Web of Science, Scopus, EBSCO Education Source), 57 review articles published between 2019 and 2025 were analyzed. The methodology followed PRISMA 2020 guidelines and employed an innovative AI-assisted workflow integrating Covidence for collaborative review management and Elicit for semi-automated data extraction. Results reveal that conversational agents are primarily used for personalized tutoring, task assistance, and automated feedback, producing positive effects on conceptual comprehension, student motivation, and learning personalization. Critical ethical considerations emerge around academic integrity, data privacy, and algorithmic bias. Educational implications point to the need for robust ethical frameworks, specialized professional teacher development, and clear institutional policies for responsible implementation. |
| Adresse de la version officielle : | https://www.learntechlib.org/primary/p/2129637/ |
| Déposant: | Angulo Mendoza, Gustavo Adolfo |
| Responsable : | Gustavo Adolfo Angulo Mendoza |
| Dépôt : | 03 juin 2026 14:23 |
| Dernière modification : | 03 juin 2026 14:23 |
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