Predicting the difficulty level faced by academic achievers based on brainwave analysis
Students who performed well in their college mathematics subjects, referred to here as academic achievers, were divided into two groups according to the self-reported level of difficulty faced by them while performing several programming tasks in LOGO - a programming language using turtle-graphics....
Saved in:
Main Authors: | Azcarraga, Judith Jumig, Suarez, Merlin Teodosia C., Inventado, Paul Salvador B. |
---|---|
Format: | text |
Published: |
Animo Repository
2010
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1269 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Use of personality profile in predicting academic emotion based on brainwaves signals and mouse behavior
by: Azcarraga, Judith Jumig, et al.
Published: (2011) -
Predicting student's appraisal of feedback in an ITS using previous affective states and continuous affect labels from EEG data
by: Inventado, Paul Salvador B., et al.
Published: (2010) -
Recognizing student emotions using brainwaves and mouse behavior data
by: Azcarraga, Judith Jumig, et al.
Published: (2013) -
Brain pacemaker to lift anxiety-like behaviour after acute and long-term stimulation of rats
by: Muhammad, Sharafuddin B. M. K.
Published: (2013) -
Predicting Factors for Academic Achievement of Graduate Students at Prince of Songkla University
by: Somchai, Rattanakoch
Published: (2012)