Nursing Students’ Perceived Satisfaction with Flipped Learning Experiences: A Mixed-Methods Study

• Published in: Sustainability Vol. 14; no. 23; p. 16074
• Main Authors: Sáiz-Manzanares, María Consuelo, Carrillo, Celia, Llamazares, María del Camino Escolar, Arribas, Sandra Rodríguez, Gómez, Diego Serrano
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2022
• Subjects: Algorithms; Artificial intelligence; Collaboration; Coronaviruses; COVID-19; Critical thinking; Design; Education; Education, Higher; Educational objectives; Educational research; Flipped classroom; Laboratories; Machine learning; Methods; Mixed methods research; Nursing education; Pandemics; Science; Sentiment analysis; Severe acute respiratory syndrome coronavirus 2; Students; Sustainability; Teachers; Spain
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su142316074

Nowadays, technological teaching tools, such as virtual labs, have become essential, especially in nursing degrees. These resources help implement practical learning based on self-regulation 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.