You are here:

An Analysis of Characteristics of Learning Community Using Accelerometer Sensor Data with High Sampling Rate
PROCEEDING

, Kyushu University, Japan ; , Fukui Prefectural University, Japan

Society for Information Technology & Teacher Education International Conference, in Washington, D.C., United States ISBN 978-1-939797-32-2 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

We investigate how characteristics of a group in group learning situation can be analyzed using accelerometer sensor data. Distributions of the time length of active body movements showed little variation between example cases. The distributions of the period of a cycle of body movement showed the difference between the case by whether the case includes out-of-classroom activities or not, at certain range of period. This can be regarded that we can distinguish normal classroom learning activities and extra activities with intentional body movements. On the other hand, index values (power exponents) of distribution of duration of body movements (of respective students) in a case showed a negative and weak correlation with the scores of Emotional Intelligence (EI) of students. These findings suggest that these analysis can be applied to understand the status of students and/or groups. For these analysis, the accelerometer sensor with high sampling rate was necessary and essential for collecting data of duration of active time and period of body movements with sufficient precision.

Citation

Tagawa, T. & Yamakawa, O. (2018). An Analysis of Characteristics of Learning Community Using Accelerometer Sensor Data with High Sampling Rate. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1119-1123). Washington, D.C., United States: Association for the Advancement of Computing in Education (AACE). Retrieved November 16, 2019 from .

References

View References & Citations Map

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References