In-Service Training Using Integrated Smart Web Application for Statistical Analysis in Classroom Research

Abstract

The purpose of this study was to improve teachers' knowledge of statistical methodologies for classroom research. In-service training was conducted utilizing our developed interactive web application, with five hundred forty-six volunteer secondary teachers from public schools. A questionnaire of statistical knowledge was used as a pre-test and post-test. A satisfaction form was used to assess participants' satisfaction with all components of the program. Descriptive statistics, the Chi-square test, Fisher’s exact test, the Wilcoxon test, and the Kruskal-Wallis test were used to assess the responses, with the level of statistical significance set at 0.05. The results showed that, after participating in the program, the statistical analysis knowledge of the participants had increased significantly and met the pass criterion of more than 60% of the total score. It was also found that gender, school location and teaching level did not affect post-test performances. Satisfaction with the training documentation, lecturers, training format, and interactive web application was at the highest level. Gender, qualification level, and subject taught did not affect the satisfaction score for any of the four aspects. This study indicates that effective statistics learning can be achieved through guidance, training by experts and effective tools.

Received: 8 January 2023 / Accepted: 25 February 2023 / Published: 5 March 2023