Adaptive and Personalized Learning in Higher Education
An Artificial Intelligence-Based Approach
Bibliographic Data
| ID | 22047876 |
|---|---|
| Authors | Juan Roberto Hernández-Herrera (0000-0001-9019-6243, Universidad Latina de América), Jesus Ortiz-Bejar (Universidad Michoacana de San Nicolás de Hidalgo), Jose Ortiz-Bejar (0000-0001-8023-8008, Universidad Michoacana de San Nicolás de Hidalgo) |
| Year | 2026 |
| Volume | 16 |
| Issue | 1 |
| Pages | 109 |
| Publication date | 2026-01-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci16010109 |
| OpenAlex | W7123350411 |
| Language | EN |
| References cited | 38 |
The integration of Artificial Intelligence (AI) in higher education offers a potential solution to the scalability of personalized learning, yet empirical frameworks connecting diagnostic data with teacher-mediated interventions remain limited in developing contexts. This study adopts a sequential multi-phase research design to address this gap. Phase 1 comprised a diagnostic quantitative analysis of the National Survey on Access and Permanence in Education (ENAPE 2021), involving a representative sample of 3422 Mexican undergraduate students. Using Exploratory Factor Analysis (KMO = 0.96) and Pearson correlations, the study established a structural baseline. Phase 2 implemented a quasi-experimental exploratory pilot (N = 23) across two academic clusters (Civil Engineering and Nutrition) using “ActivAI”, a custom GPT configured with Retrieval-Augmented Generation (RAG). Results from Phase 1 revealed a strong, statistically significant correlation (r=0.72, p
Discipline · Empirical research · Exploratory factor analysis · Exploratory research · Higher education · Perception · Personalization · Scalability · Artificial Intelligence in Healthcare and Education · E-Learning and COVID-19 · Online Learning and Analytics
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When adaptive learning is effective learning
More personal, but not better
Towards hybrid human‐AI learning technologies
New challenges in higher education
Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education
Estimation of the fundamental learning loss and learning poverty related to Covid-19 pandemic in Mexico
Experimental evidence on learning using low-tech when school is out
| Citation velocity | historical |
|---|---|
| Highly cited | No |