Person:
Álvarez Vázquez, María Del Pilar

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First Name
María Del Pilar
Last Name
Álvarez Vázquez
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Medicina
Department
Biología Celular
Area
Biología Celular
Identifiers
UCM identifierORCIDScopus Author IDDialnet ID

Search Results

Now showing 1 - 3 of 3
  • Item
    Tipologías de estudiantes de Fisioterapia según el uso que hacen del campus virtual
    (Revista de Innovación Docente Universitaria, 2020) Álvarez Vázquez, María Del Pilar; Álvarez Méndez, Ana; Bravo Llatas, María del Carmen; Cristóbal Barrios, Jesús; Angulo Carrere, María Teresa
    Presentamos en este artículo los resultados obtenidos tras procesar los registros del espacio virtual creado en la plataforma Moodle para la asignatura de “Anatomía Humana III”, del grado en Fisioterapia. El análisis se realizó mediante el software libre para computación estadística y gráficos RStudio, un entorno de desarrollo integrado para el lenguaje de programación R. Un total de 19.611 registros correspondientes a la actividad realizada en el curso académico 2017/18 fueron depurados y anonimizados y posteriormente analizados. Las variables cuantitativas elegidas fueron el número total de visitas por día al curso virtualizado, el promedio de la frecuencia de visitas a la asignatura virtualizada por día de la semana y hora del día y por meses, el número de accesos a recursos, autoevaluaciones y a URLs. Además, se realizó el análisis estadístico de los datos con el software IBM SPSS v.25, comparando el uso del campus virtual con el rendimiento académico. Se realizaron pruebas de correlación de Spearman no paramétricas y árboles de decisión con dos criterios de corte. Los resultados obtenidos mostraron que el rendimiento académico de los estudiantes de esta asignatura está influido por el uso que hacen del campus virtual. Así, se ha visto que los alumnos con calificación inferior a 5 sobre 10 presentaron menor actividad en la plataforma Moodle, en todas las variables analizadas. Por el contrario, los estudiantes con calificaciones entre 8 y 10 sobre 10 mostraron una actividad en el espacio virtual significativamente mayor, especialmente en el número de visitas y en los recursos utilizados.
  • Item
    Learning Analytics in Human Histology reveals different studen's clusters and different academic performance
    (INTED2020 Proceedings, 2020) Álvarez Vázquez, María Del Pilar; Álvarez Méndez, Ana; Angulo Carrere, María Teresa; Cristóbal Barrios, Jesús; Bravo Llatas, María del Carmen
    Universities and Higher Education institutions have created different platforms that provide digital environments with private access. These digital spaces simulate physical spaces for teaching and learning, allowing interaction between participants. The interactions are stored in the platforms so data can be analyzed to reveal behaviors and preferences. The literature shows different patterns in student’s behavior and it has been demonstrated that different clusters obtain different academic performances, as well as the importance of the virtual spaces. Human Histology is a second-year compulsory subject of the Medicine Degree at the Universidad Complutense de Madrid. It lays the foundation for Pathology learning in the third-year. Practice classes are focused on the observation of histological slides so students learn general and differential microscopic characteristics of organs. Students are expected to identify each organ under the microscope. Some years ago, teachers decided to make the evaluation a continuous process through minitests, short tests with projected images, and a teamwork consisting in making a notebook with freehand drawings showing the different organs and histological staining procedures. The final practice mark was obtained as the addition of the continuous activities (minitests 20% and teamwork 25%), the final exam (45%), and class attendance (10%). In the virtual space created for managing Histology practices, different resources were offered such as scripts for each session, histological images file and URLs that link to histological atlas and other web sites. We present in this paper the results obtained when processing the logs of the virtual space with a free software environment for statistical computing and graphics named RStudio, an integrated development environment for R. A total of 25583 logs corresponding to the registered activity in course 2018/19 were refined and subsequently analyzed. The quantitative measures chosen were the number of total logins in the virtualized course per day, the average of the login frequency per each day of the week and per each hour of the day, the number of entries in resources per day and the number of entries in URLs per day. Also, a statistical analysis of the data was performed with SPSS 25 software, comparing the use of virtual campus to academic performance. Non-parametric Spearman correlation tests and decision trees with two cut criteria were obtained. Results show that the activity in virtual campus is clearly conditioned by due dates (dates of minitests and final exam and deadline to submit the teamwork). Decision trees reveal different clusters of students according to the variables number of visits, number of entries to resources and to URLs, and that these clusters get different marks in both the minitests and the final exam in addition to the final mark.
  • Item
    Project number: 89
    Adaptación a la docencia virtual por la crisis del COVID-19. ¿Qué nos dice Moodle del tránsito súbito de la presencialidad a la virtualidad?
    (2021) Álvarez Vázquez, María Del Pilar; Álvarez Méndez, Ana; Angulo Carrere, María Teresa; Fuentes Peñaranda, Yolanda; Cristóbal Barrios, Jesús; Bravo Llatas, María del Carmen; Torrado Hermo, Esteban; Molina Hernández, Nerea