Authors:
Chen Wang
and
Pablo Cesar
Affiliation:
Centrum Wiskunde and Informatica, Netherlands
Keyword(s):
E-Learning, Surveys, GSR Sensors, Students’ Engagement.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biosignal Acquisition, Analysis and Processing
;
Devices
;
Health Information Systems
;
Human-Computer Interaction
;
Methodologies and Methods
;
Pattern Recognition
;
Pervasive Technologies
;
Physiological Computing Systems
;
Software Engineering
;
Wearable Sensors and Systems
Abstract:
Measuring students’ engagement in a distributed learning environment is a challenge. In particular, a
teacher gives a lecture at one location, while at the same time the remote students watch the lecture through
a display screen. In such situation, it is difficult for the teacher to know the reaction at the remote location.
In this paper, we conducted a field study to measure students’ engagement by using galvanic skin response
(GSR) sensors, where students simultaneously watched the lecture at the two locations. Our results showed
the students’ GSR response was aligned with the surveys, which means that during a distributed learning
environment, GSR sensors can be used as an indicator on students’ engagement. Furthermore, our user
studies resulted in non-engaging student learning experiences that would be difficult obtained at a lab
condition. Based on the findings, we found that the patterns of GSR readings were rather different when
compared to the previous relevant studies, where
users were engaged. In addition, we noticed that the
density of GSR response at the remote location was higher when compared to the one at the lecture room.
We believe that our studies are beneficial on physiological computing, as we first presented the patterns of
GSR sensors on non-engaging user experiences. Moreover, as an alternative method, GSR sensors can be
easily implemented in a distributed learning environment to provide feedback to teachers.
(More)