Your browser doesn't support javascript.
loading
Randomized cross-over study and a qualitative analysis comparing virtual microscopy and light microscopy for learning undergraduate histopathology
Artículo | IMSEAR | ID: sea-196289
ABSTRACT

Background:

Virtual microscopy (VM) use in teaching and learning is increasing worldwide. However, there is a paucity of information comparing it to light microscopy (LM) in learning undergraduate histopathology. We investigated whether VM or LM had a higher impact on student learning and performance in histopathology. In addition, we investigated whether students preferred VM over LM, and whether VM use provided a platform to fulfill the Accreditation Council for Graduate Medical Education core competencies. Materials and

Methods:

We used a sequential exploratory mixed method study design. A qualitative phase inquiring about student preference for VM or LM was followed by a randomized cross-over study. Student preference was measured by an online survey based on a Likert scale. In the cross-over study, students were randomized to either the VM or the LM arm, and their mean scores in standardized exams were compared after using VM and LM.

Results:

A total of 152 students completed the qualitative study and a total of 64 students participated in the cross-over study. Eighty-three percent (83%) of the students preferred to use VM over LM. Students who used VM scored significantly (P < 0.001) higher [(87.1% vs. 72.4%) and (85.3% vs. 76.1%)], respectively, in both phases of the cross-over study compared to those who used LM.

Conclusions:

Using VM to learn histopathology has significantly increased student learning and performance compared to using LM.

Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Tipo de estudio: Ensayo Clínico Controlado / Investigación cualitativa Año: 2019 Tipo del documento: Artículo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Tipo de estudio: Ensayo Clínico Controlado / Investigación cualitativa Año: 2019 Tipo del documento: Artículo