Perception of the Online Learning Environment of Nursing Students in Slovenia: Validation of the DREEM Questionnaire

Abstract

At the time of the outbreak of the coronavirus pandemic, several measures were in place to limit the spread of the virus, such as lockdown and restriction of social contacts. Many colleges thus had to shift their education from personal to online form overnight. The educational environment itself has a significant influence on students’ learning outcomes, knowledge, and satisfaction. This study aims to validate the tool for assessing the educational environment in the Slovenian nursing student population. To assess the educational environment, we used the DREEM tool distributed among nursing students using an online platform. First, we translated the survey questionnaire from English into Slovenian using the reverse translation technique. We also validated the DREEM survey questionnaire. We performed psychometric testing and content validation. I-CVI and S-CVI are at an acceptable level. A high degree of internal consistency was present, as Cronbach’s alpha was 0.951. The questionnaire was completed by 174 participants, of whom 30 were men and 143 were women. One person did not define gender. The mean age of students was 21.1 years (SD = 3.96). The mean DREEM score was 122.2. The mean grade of student perception of learning was 58.54%, student perception of teachers was 65.68%, student academic self-perception was 61.88%, student perception of the atmosphere was 60.63%, and social self-perception of students was 58.93%. Although coronavirus has affected the educational process, students still perceive the educational environment as positive. Nevertheless, there is still room for improvement in all assessed areas.

Publication
Healthcare, 9(8), p. 998
Lucija Gosak
Lucija Gosak
PhD Student

My research interests are the integration of mobile applications into the care of chronic patients.

Nino Fijačko
Nino Fijačko
PhD Student

My research interests include the newest pedagogical technologies in different healthcare fields and their effect on individual persons. Specific areas of interest include how serious game in gamification affect the level of physiological and psychological aspects in critical situations, such as cardiopulmonary resuscitation.

Gregor Štiglic
Gregor Štiglic
Associate Professor and head of Research Institute

My research interests include predictive models in healthcare, interpretability of complex models.

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