2026-06-10T11:28:49Zhttps://riubu.ubu.es/oai/request

oai: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

2023-03-21T08:07:33Z urn:hdl:10259/7567 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 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