Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching

Table 2

Main research questions and related questions in questionnaire.

Research question	Question in survey/format of the question/data
(1) How did students experience sensor-based learning on the course?	Q1. Which things/tasks/assignments were the most useful or most effective for your own learning? Open-ended question
	Q2. Which of the course’s content was best remembered? Open-ended question
	Q3. When the measurement data of the course is produced by your own body, it makes the learning phenomenon more interesting. s scale
	Q4. As things are studied by measuring the quantities of your own body, the things studied will be better remembered. Likert scale
(2) Did the sensor-based teaching methods provide new information that could promote students’well-being?	Q5. Did you get concrete tips on the course that you can improve your overall well-being in everyday life? Likert scale
	Q6. Firstbeat well-being analysis was, in my opinion, useful. Likert scale
	Q7. With Firstbeat measurements and results, I can improve my personal well-being. Likert scale
(3) How to collect and utilize digital well-being data from a large number of students?	Teacher-researcher’s perceptions
(4) Is it possible to predict school success from the student’s well-being data?	Firstbeat well-being data and school grades