Publication:
A Systematic Review on English Language e-Learning Technologies

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dc.contributor.authorLin E.Y.E.en_US
dc.contributor.authorLim K.C.en_US
dc.contributor.authorFaudzi M.A.en_US
dc.contributor.authorZabil M.H.M.en_US
dc.contributor.authorOmar R.en_US
dc.contributor.authorSelamat A.en_US
dc.contributor.authorKrejcar O.en_US
dc.contributor.authorid58109907100en_US
dc.contributor.authorid57889660500en_US
dc.contributor.authorid35193815200en_US
dc.contributor.authorid35185866500en_US
dc.contributor.authorid37012659000en_US
dc.contributor.authorid24468984100en_US
dc.contributor.authorid14719632500en_US
dc.date.accessioned2023-05-29T09:38:45Z
dc.date.available2023-05-29T09:38:45Z
dc.date.issued2022
dc.descriptionE-learning; Computing technology; E - learning; E-learning technology; English; English languages; Language; Language learning; SLR; Systematic Review; Technology; Engineering educationen_US
dc.description.abstractLanguage e-learning technologies (LELT) is an emerging area focusing on application of computing technologies in language learning of all kinds. Being a communication skill that requires much face to face interactions, electronic learning approach is definitely a challenge since e-learning focuses on self-paced remote engagements. This paper collects paper pertaining technologies in language learning from year 2019 to 2022 seeking into five research questions on finding out the current trends of research types, evaluation methods, contributions and correlations of between them. This research through a filtration process has found 27 relevant papers. This paper will first present all descriptive findings, data analysis, correlations and lastly insights of the review analysis processes. This paper identified 3 research domain gaps and 3 recommendations of novel future works. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICOCO56118.2022.10031709
dc.identifier.epage385
dc.identifier.scopus2-s2.0-85148427924
dc.identifier.spage380
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85148427924&doi=10.1109%2fICOCO56118.2022.10031709&partnerID=40&md5=a24956f3015082f3492b324179de9954
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27020
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2022 IEEE International Conference on Computing, ICOCO 2022
dc.titleA Systematic Review on English Language e-Learning Technologiesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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