Investigating the Importance of Psychological and Environmental Factors for Improving Learner’s Performance Using Hidden Markov Model
In the proposed work, hidden Markov model (HMM) has been deployed to improve the learner's performance or grades on the basis of their psychological and environmental factors like connect/gather isolation, pleasure/comfort, depression, trust, anxiety, proper guidance, improper guidance, enterta...
Main Authors: | Aditya Khamparia, Nguyen Gia Nhu, Babita Pandey, Deepak Gupta, Joel J. P. C. Rodrigues, Ashish Khanna, Prayag Tiwari |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8643763/ |
Similar Items
-
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
by: Stephen Adams, et al.
Published: (2016-01-01) -
Visual tracking using interactive factorial hidden Markov models
by: Jin Wook Paeng, et al.
Published: (2021-08-01) -
Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network
by: Aditya Khamparia, et al.
Published: (2019-01-01) -
Modelling reassurances of clinicians with hidden Markov models
by: Valentin Popov, et al.
Published: (2019-01-01) -
REVIEW ON OPERATION STATE ASSESSMENT AND PROGNOSTICS FOR MECHANICAL EQUIPMENT BASED ON HIDDEN MARKOV MODEL
by: JI Yun, et al.
Published: (2017-01-01)