2024-03-29T13:37:14Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/75672023-04-19T08:20:07Zcom_10259_4725com_10259_5086com_10259_2604com_10259.4_2520com_10259_5841col_10259_4726col_10259.4_2521col_10259_5842
Nursing Students’ Perceived Satisfaction with Flipped Learning Experiences: A Mixed-Methods Study
Sáiz Manzanares, María Consuelo
Carrillo Pérez, Celia
Escolar Llamazares, María del Camino
Rodríguez Arribas, Sandra
Serrano Gómez, Diego
Satisfaction
Nursing students
Virtual labs
Flipped learning
Mixed methods
Nowadays, technological teaching tools, such as virtual labs, have become essential,
especially in nursing degrees. These resources help implement practical learning based on selfregulation and it is important to know how satisfied students are with them. This means it is important
to study students’ perceived satisfaction with virtual labs in flipped learning experiences, which was
the general objective of the present study. The aims of the study were: (1) to determine whether there
were significant differences in nursing students’ perceived levels of satisfaction according to the type
of subject or gender; (2) to ascertain what strengths and weaknesses nursing students perceived about
using virtual labs; and (3) to determine the kinds of feelings (positive, negative or neutral) nursing
students had using virtual labs. A mixed research methodology was applied, with a sample of
222 undergraduate nursing students at Burgos University (Spain). There were significant differences
in the satisfaction perceived by students depending on the subject. Students reported medium-high
satisfaction with virtual labs, although they did note that digital skills are needed to use them and
suggested incorporating intelligent assistants. Virtual labs seem to be effective, although further
studies are needed.
2023-03-21T08:07:33Z
2023-03-21T08:07:33Z
2023-03-21T08:07:33Z
2022-12
info:eu-repo/semantics/article
http://hdl.handle.net/10259/7567
10.3390/su142316074
2071-1050
eng
Sustainability. 2022, V. 14, n. 23, 16074
https://doi.org/10.3390/su142316074
info:eu-repo/grantAgreement/UBU//TVLab_01/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117111RB-I00/ES/ASISTENTES DE VOZ E INTELIGENCIA ARTIFICIAL EN MOODLE: UN CAMINO HACIA UNA UNIVERSIDAD INTELIGENTE/
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
MDPI