Abstract ▼ AI-Helper

Objectives In this study, a data literacy education program based on Nobel Engineering for elementary school students was developed and applied. This program consists of a total of 7 sessions, which are 22 hours long. Using a data literacy assessment tool for elementary students, the effectiveness o...

Objectives In this study, a data literacy education program based on Nobel Engineering for elementary school students was developed and applied. This program consists of a total of 7 sessions, which are 22 hours long. Using a data literacy assessment tool for elementary students, the effectiveness of the proposed program was confirmed.
Methods Two classes of sixth grades in a Chungcheongbuk-do elementary school were chosen, and they were split into two groups: an experimental group (19 students) and a control group (18 students). These two groups received experimental treatment each, and using an independent sample T-test, their differences were assessed. In addition, a paired-sample T-test was conducted to compare before and after experimental treatment for each of the two groups.
Results As a result of the independent sample T-test for the experimental group and the control group, there were statistically significant differences in overall data literacy and in the areas of ‘data collection and understanding, data analysis and evaluation, and data-based communication’ among the four sub-areas. As a result of the paired sample t-test of the experimental group, statistically significant improvements were confirmed in both overall data literacy and sub-areas before and after the experimental treatment.
Conclusions The conclusions and implications of the study were presented as follows: (1) The need for a specific approach considering the sub-areas of data literacy when designing educational programs; (2) The cultivation of the ‘communication competency' area due to the characteristics of novel engineering-based classes and benefits as a method of presenting situations to students; (3) The necessity of providing teaching and learning strategies to support learners in classes that utilize the various computing environments; and (4) The need for additional research on data recognition for students and the development of educational programs based on this study.