Emotions recognition as innovative tool for improving students’ performance and learning approaches

Author:

Bouhlal M.,Aarika K.,Abdelouahid R. Ait,Elfilali S.,Benlahmar E.

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Paulo. Blikstein Using learning analytics to assess students’ behavior in open-ended programming tasks,1st International Conference on Learning Analytics and Knowledge, February 2011

2. Liping Shen, Minjuan Wang, and Ruimin Shen, Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment, Journal of Educational Technology & Society, 2009

3. Haji H. BINALI, Chen WU, Vidyasagar Podar, A new significant area: Emotion detection in E-learning using opinion mining techniques,3rd IEEE International Conference on Digital Ecosystems and Technologies,2009

4. M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, High resolution fiber distributed measurements with coherent OFDR, in Proc. ECOC’00, 2000, paper 11.3.4, p. 109.

5. Mary E. Pritchard Gregory S. Wilson, Vaughn, Using Emotional and Social Factors to Predict Student Success, Journal of College Student Development, January/February 2003.

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How Do Students Feel in Online Learning Platforms? How They Tell It: How Does Artificial Intelligence Make a Difference?;Sakarya University Journal of Education;2024-07-25

2. System Based on Efficient Neural Network Fusion for Negative Emotion Classification;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

3. Artificial Intelligence Implementation in Virtual Learning Environment: An Overview;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

4. Facial Emotion Recognition Using Convolutional Neural Network in a Learning Environment;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

5. Neurocognitive responses to spatial design behaviors and tools among interior architecture students: a pilot study;Scientific Reports;2024-02-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3