Development and Experimental Use of Assembling Venn Diagram and Yes/No Chart Exercise System Cultivating Computational Thinking

Abstract

The purpose of this paper is to report on the design and development of a Venn diagram and Yes/No chart learning system for fostering computational thinking and its evaluation. We developed a Yes/No chart learning system as a web application. This system was developed using HTML5 and vis.js. To evaluate this system's effectiveness, 20 university students and 4 high school students were given an experiential learning exercise. As a result, 18 students were able to use this system to explain the classification better. The median computational thinking score after using the system was significantly higher than the median computational thinking score before using the system. It was confirmed that this system is useful in fostering computational thinking through experiential learning.

Learning Effectiveness of Computational Thinking in a Simple Classification Task While Using a Yes/No Chart Learning System Compared to Using a Visual Programming Learning System

“…In this section, we describe the learning effectiveness of a yes/no chart learning system and an experiential model and compare it with the learning effectiveness of a visual programming learning system. An experiential model is adapted from experiential methods and evaluation criteria [12], [13] . The visual programming learning system that we developed is described in detail in section 3.…”

“…The experiential model used in a previous studies [12], [13] and this one is based on experiential learning. According to Kolb [14] , an experiential model involves the process of experiencing and applies the experience to the next phase of education.…”

“…In this study, we have used evaluation criteria for classification tasks [12], [13] . In a classification task, the concepts Two steps correct answer and is aware of proceduralization…”

“…We already developed a yes/no chart learning system [12] and a visual programming learning system that implements an automatic decision function that indicates the correct or incorrect response for each classification task. This system uses Google Firebase as a backend system and Google Firebase Realtime Database as a database.…”

“…This is because a yes/no chart's structure is easy to understand, even for the learners with no programming experience. In this study, we use a yes/ no chart learning system to implement the classification task and promote CT [12], [13] .…”