The Impact of Web 2.0 Tools on Nursing Education

Overview

This research was planned experimentally to investigate the effect of teaching supported by WEB 2.0 tools on the development of WEB pedagogical content knowledge of nursing students. Innovative learning technologies provide easy and fast access to information. One of the important opportunities provided by the Internet is that it facilitates the transfer of information in education and enables active learning thanks to WEB 2.0 applications. The use of WEB 2.0 tools in nursing education provides significant benefits to the cognitive, affective and behavioral fields. Considering their important role in education, academic nurses' technological applications are critical to achieve good results in this context. For this reason, it is very important to shed light on the use of Web 2.0 tools for nursing education, to enlighten nurse candidates about the general use of Web 2.0 tools, and at the same time to discover the best technological practices they use.

In this study, a priori power analysis was performed before starting the study to determine the sample size. In the power analysis, it was determined that the number of samples should be 80, 40 interventional and 40 control, with a 0.05 significance level, 95% confidence interval, 95% power and a 5% margin of error. SPSS 23.0 (Statistical Program for Social Sciences) package program will be used to evaluate the data obtained from the research. The suitability of variables to normal distribution will be examined visually (histograms, probability plots) and analytical methods (Kolmogorov-Smirnov test). When comparing control and intervention groups, independent groups t-test will be used for comparisons between normally distributed continuous variables, and chi-square test will be used for categorical variables. Comparing the scale scores before and after the application in the intervention group, if the data shows a normal distribution, paired t test will be applied, if it does not show a normal distribution, the Wilcoxon test will be applied. The relationships between variables will be evaluated using Pearson correlation analysis for normally distributed values, and Spearman correlation analysis for non-normally distributed values. Statistical significance level will be accepted as p\<0.05