Students’ Views on Machine Learning with Code Blocks and the Evaluation of the Platform Used

Abstract

In this study, it was aimed to evaluate the students' opinions about the process of applying machine learning with code blocks by using controlled machine learning algorithms and the platform used by 6th grade students. The study was undertaken in mixed methods design. In the qualitative part, one group pre-test post-test design, which is one of the weak experimental designs, was used. To analyze students’ points from the achievement test, Wilcoxon Signed Ranks Test was used. As for the quantitative part, students’ views about the implementation process were studied via an open-ended question form. The data were categorized according to the interview questions and sub-themes were identified. The analysis showed that there is a significant difference between the pre and post-tests. Secondary school students' views on code blocks and machine learning education were examined under two themes, positive and negative. Looking at the sub-themes of the positive theme, the frequency of those who think that the environment is efficient, the environment is easy to use and the environment is Scratch-based is found to be the highest. The limited number of people was the most frequently stated negative opinion. When asked about the benefits of machine learning to their personal development, the majority thinks that it contributes to their development, when asked about the benefits and harms of machine learning, the most expressed opinion in the positive theme is that it is useful. When the opinions of the students about the general ease-difficulty of machine learning were taken, the majority of them thought that it is easy. There are limitations on the platform. For this reason, comparisons with Machine Learning for Kids can be made using different platforms that have no restrictions. Since the literature on machine learning with code blocks for children is limited both at national and international levels, it can be said that it is a field of study that needs further research. Article History: Received: 01.10.2020 Received in revised form: 10.11.2020 Accepted: 11.11.2020 Available online: 01.12.2020 Article Type: Standard Paper