Machine Learning Enabled e-Learner Non-Verbal Behavior Detection in IoT Environment-Reference-Cited by-同舟云学术

Machine Learning Enabled e-Learner Non-Verbal Behavior Detection in IoT Environment

Published:2022 Issue:1 Volume:72 Page:679-693
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Abdelmaboud Abdelzahir,N. Al-Wesabi Fahd,Al Duhayyim Mesfer,Abdalla Elfadil Eisa Taiseer,Ahmed Hamza Manar,Rizwanullah Mohammed,Serwar Zamani Abu,Marzouk Radwa

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v72n1/46885/pdf

Reference21 articles.

1. Feature evaluation of emerging E-learning systems using machine learning: An extensive survey;Aslam;IEEE Access,2021

2. Predicting students’ academic procrastination in blended learning course using homework submission data;Akram;IEEE Access,2019

3. M. Brown, J. Dehoney and N. Millichap, “The next generation digital learning environment,” A Report on Research. ELI Paper. Louisville, CO: Educause April, 2015.

4. Contemporary technologies and methods for cross-platform application development;Vassallo;Journal of Computational and Theoretical Nanoscience,2019

5. Trade-off between interoperability and data collection performance when designing an architecture for learning analytics;Dodero;Future Generation Computer Systems,2017

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