ERIC Number: EJ1463082
Record Type: Journal
Publication Date: 2025-Mar
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2211-1662
EISSN: EISSN-2211-1670
Available Date: 2025-01-30
Data Monsters: Development of Game for Learning to Data Science
Toshiya Arakawa1; Haruki Miyakawa2
Technology, Knowledge and Learning, v30 n1 p561-586 2025
Data science education in Japan extends from elementary to high school students. However, some studies show that this has not enhanced interest or curiosity in data science. Therefore, gamification appears to be an efficient method for encouraging high school students' interest in data science, with research indicating that video games are effective in education. Given this, we developed a battle-type game "Data Monsters" to improve junior high school and university students' interest in data science. The effectiveness of Data Monsters was evaluated using a questionnaire, and data analysis and utilization tests were assessed before and after playing this game. A total of 20 participants, comprising junior high school to university students, who were unfamiliar with data science, joined the experiment. The results of each test demonstrated that the developed game was useful in improving students' understanding of mathematical terms and their interest in data science. The average score of their interest increased by 1.37 points. In addition, the average score of students' data analysis and utilization skills improved by 0.96 and 0.71 points, respectively. We believe that creating content that encompasses fields other than data analysis will enable a comprehensive learning of data science.
Descriptors: Data Science, Educational Games, Statistics Education, Foreign Countries, Gamification, Video Games, Junior High School Students, College Students, Student Interests, Learner Engagement, Mathematical Concepts, Scores, Skill Development, Data Analysis
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Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Japan
Grant or Contract Numbers: N/A
Author Affiliations: 1Nippon Institute of Technology, Department of Data Science, Faculty of Advanced Engineering, Saitama, Japan; 2Nippon Institute of Technology, Department of Information Technology and Media Design, Faculty of Advanced Engineering, Saitama, Japan