Detection of Learner’s Concentration in Distance Learning System with Multiple Biological Information

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
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Citations

"Detection of Learner’s Concentration in Distance Learning System with Multiple Biological Information"
written by Kimario Nizetha Daniel, Eiji Kamioka,
published by Journal of Computer and Communications, Vol.5 No.4, 2017

has been cited by the following article(s):

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[1]	Research on Learning Concentration Recognition with Multi-Modal Features in Virtual Reality Environments Sustainability, 2023 DOI:10.3390/su151511606

[2]	Bibliometric Analysis of Technology Trends in Education: Analysis from 2018 to 2022 Journal for Lesson and Learning Studies, 2023 DOI:10.23887/jlls.v6i3.59877

[3]	EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer IEEE Access, 2022 DOI:10.1109/ACCESS.2021.3135805

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[5]	Implementation of an Online Poster Symposium for a Large-Enrollment, Natural Science, General Education, Asynchronous Course Frontiers in Education, 2022 DOI:10.3389/feduc.2022.906995

[6]	Distraction detection of lectures in e-learning using machine learning based on human facial features and postural information Artificial Life and Robotics, 2022 DOI:10.1007/s10015-022-00809-z

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[10]	Utilization of Learners’ Metacognitive Experiences to Monitor Learners’ Cognition States in e-Learning Platforms International Journal of Information and Education Technology, 2019 DOI:10.18178/ijiet.2019.9.5.1227

[11]	Determining student satisfaction in distance education courses Procedia Computer Science, 2017 DOI:10.1016/j.procs.2017.11.275

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