Predicting non-completion of programming exercises using action logs and keystrokes
Computing programming skills is gaining importance but yet it is not an easy subject to master as exemplified in the high attribution rates of computer science courses. It is thus critical that we identify learners who struggle with computer programming at opportune moments to sustain and support th...
Saved in:
Main Author: | FWA, Hua Leong |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6906 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Fine-grained detection of programming students’ frustration using keystrokes, mouse clicks and interaction logs
by: FWA, Hua Leong
Published: (2016) -
Automatic detection of frustration of novice programmers from contextual and keystroke logs
by: FWA, Hua Leong
Published: (2015) -
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) -
A Study of the Imitation, Collection and Usability Issues of Keystroke Biometrics
by: TEY, Chee Meng
Published: (2013)