The aim of this study was to evaluate the effectiveness of jigsaw, metaverse and classical learning models in developing self-efficacy in medication administration of students taking pediatric nursing courses.

Purpose of the Study The purpose of this study is to evaluate the effects of three different learning methods (classical, metaverse, jigsaw) used in pediatric drug application skills training on students' drug application self-efficacy levels in children.

Research Hypotheses H0: There is no difference between the drug application self-efficacy levels of students in groups.

H1: There is a difference between the drug application self-efficacy levels of students in groups.

Research Form This study is a pre-test post-test randomized quasi-experimental study. In addition, when the study is completed, a qualitative interview will be conducted with 10 volunteer students in each group regarding the positive and negative aspects of the classical, jigsaw and metaverse techniques.

Place and Time of the Study The study will be conducted with students taking the Child Health and Diseases Nursing Course of the Nursing Department of the Faculty of Health Sciences at Süleyman Demirel University between April and June 2023.

The Universe and Sample of the Study The universe of the study consists of 180 students taking the Nursing Department Child Health and Diseases Nursing Course. The 90 students determined as a result of the power analysis will be formed.

Power Analysis: The power analysis of the study was performed with the GPower 3.1.9.2. (Universitaet Kiel, Germany) program. Since the study design was prepared as three independent groups and two repeated measures, "F test" was selected as the test family and "ANOVA: Repeated measures, within-between interaction" was selected as the analysis. First of all, according to the main mass information given as N=180 with the single sample ratio test, the sample size was calculated as n=63 for the p=0.40 ratio value, 5% error and 95% power value. The effect size for the variance explained by the effect for repeated measures was calculated as d=0.252 for 1. The total sample size was calculated as n=66 for three independent groups and two repeated measurements under the conditions of 5% margin of error, 0.95 power value, and r=0.5 correlation between repeated measurements. However, considering the randomization and repeated study situation, it was decided to increase the sample slightly and complete it with 30 students for each group, totaling n=90.

Criteria for inclusion in the study:

• Being a first-time student taking the Child Health and Diseases Nursing Course
• Being a volunteer to participate in the study

Criteria for exclusion from the study:

• Being a Health Vocational High School graduate or being included in the program with DGS (vertical transfer exam)
• Not being a non-resident during the dates when the data of the study were collected
• Having received education or courses on drug applications in children in previous periods
• Being a student taking the course from below Randomization: Students who meet the criteria for inclusion in the study will be assigned to groups with the simple randomization method (classic, metaverse, jigsaw learning). Students who do not accept to participate in the research will receive the same topic from the relevant instructor in accordance with the routine of the course.

Inclusion Criteria:

• Taking the Child Health and Disease Nursing Course for the first time
• Volunteering to participate in the research

Exclusion Criteria:

• Not doing any treatment during the dates when the research data was collected
• Not taking any training or courses on drug applications in children in previous periods
• Not taking the course from the bottom

We can share all the details once our research is published.