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dc.contributor.authorTanis, Burnhan Mustafa
dc.contributor.authorBallera, Melvin A
dc.contributor.authorElssaedi, Mosbah Mohamed
dc.date.accessioned2018-10-03T15:53:00Z
dc.date.available2018-10-03T15:53:00Z
dc.date.issued2018-09-27
dc.identifier.urihttp://dspace.elmergib.edu.ly/xmlui/handle/123456789/15
dc.description.abstractVocabularies, the core of any language, is probably the most challenging and time consuming part of learning a foreign language in a diverse and disperse community of learners. This study proposes an approach that can help a learner build up his/her English vocabulary volume by intensive article reading, the inclusion of Google Cloud Natural Language API and Glosbe Dictionary API, the use of review value calculation computing technique. The review vale calculation were able to determine the number of days were the new words should be reviewed and be part of the long-term memory. Result shows that students were able to increase their words acquisition skills by applying technology and computing. Students were able to retain words fast and understand better, by employing an interactive monitoring process. If the system will be implemented carefully, it is hypothetically produce a faster technique in acquiring new vocabularies for foreign students.en_US
dc.language.isoenen_US
dc.publisherCEST-2018en_US
dc.relation.ispartofseriesCEST2018;1084
dc.subjectVocabulary schema, review value calculation, short term memory, long term memory, assessment intervalen_US
dc.titleBuilding English Vocabulary Schema and Words Retention using Review Value Calculation for English as Secondary Language Studentsen_US
dc.typeArticleen_US


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