Personalized strategies for academic success in learning anatomy: Exploring metacognitive and technological adaptation in medical students

Author:

Stambuk‐Castellano Mónica1ORCID,Carrera Anna2ORCID,Tubbs R. Shane34567ORCID,Alario‐Hoyos Carlos8ORCID,Verdú Enric2ORCID,Iwanaga Joe3459ORCID,Reina Francisco2ORCID

Affiliation:

1. Department of Computer Science, School of Engineering Pontificia Universidad Católica de Chile Santiago Chile

2. Clinical Anatomy, Embryology and Neuroscience Research Group (NEOMA), Medical Sciences Department, Faculty of Medicine Universitat de Girona Girona Spain

3. Department of Neurosurgery, Tulane Center for Clinical Neurosciences Tulane University School of Medicine New Orleans Louisiana USA

4. Department of Neurology, Tulane Center for Clinical Neurosciences Tulane University School of Medicine New Orleans Louisiana USA

5. Department of Structural & Cellular Biology Tulane University School of Medicine New Orleans Louisiana USA

6. Department of Neurosurgery and Ochsner Neuroscience Institute Ochsner Health System New Orleans Louisiana USA

7. Department of Anatomical Sciences St George's University True Blue Grenada

8. Telematics Engineering Department Universidad Carlos III de Madrid Leganés Spain

9. Department of Oral and Maxillofacial Anatomy, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University Tokyo Japan

Abstract

AbstractPersonalization of learning is an educational strategy rooted in metacognition and is significant in academic training. This is especially true in medical contexts. This study explored the relationship between the metacognitive profile of students of human anatomy, the classification of questions according to their difficulty, and the anatomical domain. It also covered the integration of educational technologies to create personalized learning environments. The identification of metacognitive profiles (“Active”, “Pragmatic”, “Theoretical”, and “Reflective”) has been highlighted as a critical influence on students' responses to different pedagogical approaches. Personalized adaptation based on these profiles has shown potential for improving grades and increasing student satisfaction and engagement with learning. The results revealed variations in student performance in relation to different pedagogical approaches, learning units, and evaluation modalities. The “Experience” evaluation modality, personalized according to metacognitive profiles, level of competence, and learning objectives, resulted in higher average scores. However, there was significant variability in the results. Those findings confirm the effectiveness of metacognitive adaptation in improving academic performance. Furthermore, they provide a solid basis for formulating personalized and effective pedagogical strategies in medical education. They recognize the influence of metacognitive profiles on student performance and contribute to advancing medical pedagogy.

Publisher

Wiley

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