ERIC Number: EJ1429417
Record Type: Journal
Publication Date: 2024
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2196-7091
Available Date: N/A
Uncovering Insights from Big Data: Change Point Detection of Classroom Engagement
Kohei Nakamura; Manabu Ishihara; Izumi Horikoshi; Hiroaki Ogata
Smart Learning Environments, v11 Article 31 2024
Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and teachers' teaching styles by analyzing educational big data. In the analysis, data from 120 students and two mathematics class teachers at a public junior high school in Japan were used. We applied the pruned exact linear time (PELT) algorithm to automatically identify significant changes in student participation during class. Based on the information obtained, we analyzed the interaction logs of teachers' e-book readers and clarified the relationship between student participation rates and teacher behavior patterns. Change point detection using the PELT algorithm showed a high F1-score of 0.7929, indicating good overall performance. We also investigated whether there was a relationship between class differences and teachers' actions and found a statistically significant difference. The results provide clues for improving student learning engagement and teachers' teaching styles, and they are expected to improve the quality of education by automatically identifying notable cases from educational big data. However, further research is required to improve data analysis methods, such as adjusting the parameters of algorithms based on the situation.
Descriptors: Foreign Countries, Junior High School Students, Junior High School Teachers, Public Schools, Data Use, Learner Engagement, Student Participation, Classroom Environment, Teaching Styles, Mathematics Teachers, Change, Teacher Behavior, Behavior Patterns
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Japan
Grant or Contract Numbers: N/A
Author Affiliations: N/A