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Hybrid approach to recognize learners behaviors using facial expressions and machine learning / (Record no. 76883)

MARC details
000 -LEADER
fixed length control field 02727cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200308s2020 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.18.02.M.Sc.2020.Mo.H
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mohammed Megahed Hussein Megahed
245 10 - TITLE STATEMENT
Title Hybrid approach to recognize learners behaviors using facial expressions and machine learning /
Statement of responsibility, etc. Mohammed Megahed Hussein Megahed ; Supervised Ammar Mohammed , Ahmed Hamza
246 15 - VARYING FORM OF TITLE
Title proper/short title أسلوب تكاملى للتعرف على سلوك المتعلم بإستخدام إسلوب تحديد تعبيرات الوجه وتعلم الآلة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mohammed Megahed Hussein Megahed ,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 115 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30 Leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Computer and Information Science
520 ## - SUMMARY, ETC.
Summary, etc. Computer based learning environments are technology based instructional tools used for educational purpose. Usually, these environments take into consideration the learner's mental responses that are based on solving tests and exams questions to determine the next level of the learning process and manage the learning flow of the learner.They however suffer from engaging the emotional behaviors and facial expressions of the learner that reflect the learner's emotional states during the learning process.The later engagement could make the learning flow more adaptive as each learner could be redirected to a learning flow that matches his capabilities and academic performance.This thesis proposes a novel approach for modeling an adaptive computer based learning environment by considering the integration between the learner mental responses to exams questions and his emotional states during the exam sessions. In the proposed approach, a convolutional neural network is used to detect and analyze the learners' facial expressions, and outperforms other CNN models on the same training benchmark.The fuzzy system is used to determine the next learning level based on several response and interaction factors of the learner including emotional interaction factors and mental responses factors. The thesis also introduces corpora for evaluating the performance of the proposed approach
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial Neural Network (ANN)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Deep Neural Network (DNN)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Neural Network (NN)
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed Hamza ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ammar Mohammed ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.02.M.Sc.2020.Mo.H 01010110080986000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.02.M.Sc.2020.Mo.H 01020110080986000 22.09.2023 CD - Rom 80986.CD