Fehaid Alqahtani
On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems
Alqahtani, Fehaid; Katsigiannis, Stamos; Ramzan, Naeem
Citation
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2019, December). On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems. Presented at 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE), Athens, Greece
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE) |
| Publication Date | 2019 |
| Deposit Date | Sep 15, 2020 |
| Publisher | Institute of Electrical and Electronics Engineers |
| DOI | https://doi.org/10.1109/bibe.2019.00077 |
| Public URL | https://durham-repository.worktribe.com/output/1141907 |
You might also like
Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems
(2023)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search