Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching
Joint Authors
Moilanen, Hannu
Äyrämö, Sami
Jauhiainen, Susanne
Kankaanranta, Marja
Source
Education Research International
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This article examines how students (N=198; aged 13 to 17) experienced the new methods for sensor-based learning in multidisciplinary teaching in lower and upper secondary education that combine the use of new sensor technology and learning from self-produced well-being data.
The aim was to explore how students perceived new methods from the point of view of their learning and did the teaching methods provide new information that could promote their own well-being.
We also aimed to find out how to collect digital well-being data from a large number of students and how the collected big data set can be utilized to predict school success from the students’ well-being data by using machine learning methods (lasso regression and multilayer perceptron).
Results showed that sensor-based learning can promote students’ learning and well-being.
All upper secondary school (n=37) and 87% of lower secondary school pupils (n=161) argued that when data are produced by their bodies, learning is more interesting, and they mostly found that well-being analysis was useful (upper secondary 97%; lower secondary 78%) and can improve personal well-being (upper secondary 78%; lower secondary 67%).
The predictive powers with lasso regression and multilayer perceptron (MLP) were quite weak (correlation: −0.14 and 0.34, respectively).
American Psychological Association (APA)
Moilanen, Hannu& Äyrämö, Sami& Jauhiainen, Susanne& Kankaanranta, Marja. 2018. Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching. Education Research International،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1156995
Modern Language Association (MLA)
Moilanen, Hannu…[et al.]. Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching. Education Research International No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1156995
American Medical Association (AMA)
Moilanen, Hannu& Äyrämö, Sami& Jauhiainen, Susanne& Kankaanranta, Marja. Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching. Education Research International. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1156995
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156995