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Advisor(s)
Abstract(s)
the use of Brain-Computer Interaction (BCI)
technology to better understand and promote learning
processes. In this context, the idea is to obtain information
about the user and deduce his/her mental states (e.g. workload,
attention, concentration) through user’s electroencephalogram
signals (EEG). In future researches, we are interested in
understanding the performance of users in tasks involving high
cognitive processes such as programming problem solving. The
goal would be to find metrics and strategies that are adaptable
to each user, looking to increase the success in programming
learning. However, this work represents a set of initial works
that provides an overview of how brain computer interaction
can intersect with issues in the field of education, namely in
design and in cognitive attention and concentration processes.
The main goal of this study is to analyse several cognitive
parameters (Attention, Concentration) of crucial importance
for learning, while students do a programming problem solving
oriented task activity. For a better characterization of the data,
an analysis of the ERD/ERS complex was performed, thus
analysing the event synchronization or desynchronization, in
order to reflect the activation or inhibition of the cerebral
activity during the game and consequently the absorption of
information and the capacity of learning. Additionally, five
EEG features were extracted, namely the powers of Delta,
Theta, Alpha, Beta and Gamma bands, as well as, the
variability of these bands’ energy.
Description
Keywords
Brain Computer Interaction Attention Concentration Programming problem solving
Citation
Publisher
American University in Dubai