MONTEMAYOR IBARRA, FERNANDO
CIENCIAS DE LA EDUCACIÓN · Nivel C
Desde 1994 es Profesor/Investigador en Universidad Autónoma de Nuevo León
Fernando Montemayor Ibarra is a Professor and Researcher at the Faculty of Mechanical and Electrical Engineering (FIME) of the Autonomous University of Nuevo León (UANL). He earned his Ph.D. in Education from the University of Baja California, specializing in educational...
Fernando Montemayor Ibarra is a Professor and Researcher at the Faculty of Mechanical and Electrical Engineering (FIME) of the Autonomous University of Nuevo León (UANL). He earned his Ph.D. in Education from the University of Baja California, specializing in educational innovation applied to engineering and distance learning.
His research has focused on:
- Pedagogical methodologies for engineering education, including virtual laboratories and simulation-based learning
- Distance education, incorporating emerging technologies for engineering training
His current investigations explore:
- The application of Artificial Intelligence (AI) to personalize learning in technical environments
- Self-directed learning through digital platforms and interactive educational resources
His primary research interest lies in developing virtual and remote laboratories that enable students to access industrial environments from any location. Since 1994, Dr. Montemayor Ibarra has served as a full-time professor at UANL, teaching both undergraduate and graduate courses in engineering.
| Nombre | FERNANDO MONTEMAYOR IBARRA |
|---|---|
| Área | INTERDISCIPLINARIA |
| Campo | CIENCIAS DE LA EDUCACIÓN |
| Disciplina | DIDÁCTICA, PEDAGOGÍA Y CURRÍCULO |
| Especialidad | MANUFACTURA |
| CVU | 374947 |
| Institución | |
|---|---|
| Dependencia | FACULTAD DE INGENIERIA MECANICA Y ELECTRICA |
| Entidad | NUEVO LEON |
| Nivel | C |
| Vigencia | Inicio: 01/01/2023 |
| Fin: 31/12/2026 |
Últimas publicaciones Scopus
- 2026
- Generativa Between Cognitive Offloading and Thinking: A Theoretical Framework of Metacognitive Tension in the Use of Generative AI Journal of Intelligent Decision Making and Information Science · Vol. 3 Article
- Artificial Intelligence Applications in Dialogic Feedback Systems: A Four-Phase Model for Critical Appraisal in Biomedical and Natural Sciences Domains Natural and Engineering Sciences · Vol. 11 Article
- 2018
- Industry 4.0 and engineering education: An analysis of nine technological pillars inclusion in higher educational curriculum Best Practices in Manufacturing Processes Experiences from Latin America Book Chapter
