Fine-grained detection of programming students’ frustration using keystrokes, mouse clicks and interaction logs
Prolonged frustration leads to loss of confidence and eventual disinterest in the learning itself. The modelling of frustration in learning is thus important as it informs on the appropriate time to intervene to sustain the interest and motivation of students. To automatically detect learner’s frust...
Saved in:
Main Author: | FWA, Hua Leong |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6928 https://ink.library.smu.edu.sg/context/sis_research/article/7931/viewcontent/JSS_2016092110364867.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Automatic detection of frustration of novice programmers from contextual and keystroke logs
by: FWA, Hua Leong
Published: (2015) -
Predicting non-completion of programming exercises using action logs and keystrokes
by: FWA, Hua Leong
Published: (2019) -
Keystroke dynamics in a general setting
by: Janakiraman, R., et al.
Published: (2013) -
Keystroke biometrics: The user perspective
by: TEY, Chee Meng, et al.
Published: (2014) -
Frustration
by: LOW, Kee Yang
Published: (2009)