Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202082110> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W3202082110 endingPage "3439" @default.
- W3202082110 startingPage "3432" @default.
- W3202082110 abstract "Vocabulary acquisition is an essential component for mastering any language as words are the building blocks of a language. In informal learning, foreign language learners often struggle to memorize new vocabularies, and therefore, new tools need to be developed to facilitate vocabulary acquisition. In computer-assisted learning environments, images are often used as annotations to represent words because images convey the essence of a word more effectively than verbal descriptions. Also, understanding the learning contexts in which learning happens is crucial for any computer-assisted learning environment. From this standpoint, in this research, a context-aware language learning app called Wordhyve is developed. Wordhyve, a native Android app, is built to support foreign language learners in memorizing foreign vocabularies using multimedia annotations, including images, texts, translation, voices, and contextual clues. Wordhyve allows language learners to capture and record lifelogs. Later on, the app uses those learning experiences as triggers to enhance foreign vocabularies. The analytics of the Wordhyve use those logs for the recommendation of incidental vocabularies and assist learners in memorizing those recommended vocabularies using various learning contexts. Wordhyve uses image analytics on the learner-captured images to recommend those incidental vocabularies." @default.
- W3202082110 created "2021-10-11" @default.
- W3202082110 creator A5002020000 @default.
- W3202082110 creator A5078193720 @default.
- W3202082110 date "2021-01-01" @default.
- W3202082110 modified "2023-09-26" @default.
- W3202082110 title "Wordhyve: A context-aware language learning app for vocabulary enhancement through images and learning contexts" @default.
- W3202082110 cites W1980620390 @default.
- W3202082110 cites W2014332489 @default.
- W3202082110 cites W2030739248 @default.
- W3202082110 cites W2063297881 @default.
- W3202082110 cites W2084693147 @default.
- W3202082110 cites W2331831453 @default.
- W3202082110 cites W2751492437 @default.
- W3202082110 cites W2803149985 @default.
- W3202082110 cites W3006390275 @default.
- W3202082110 cites W3111074054 @default.
- W3202082110 doi "https://doi.org/10.1016/j.procs.2021.09.116" @default.
- W3202082110 hasPublicationYear "2021" @default.
- W3202082110 type Work @default.
- W3202082110 sameAs 3202082110 @default.
- W3202082110 citedByCount "3" @default.
- W3202082110 countsByYear W32020821102022 @default.
- W3202082110 countsByYear W32020821102023 @default.
- W3202082110 crossrefType "journal-article" @default.
- W3202082110 hasAuthorship W3202082110A5002020000 @default.
- W3202082110 hasAuthorship W3202082110A5078193720 @default.
- W3202082110 hasBestOaLocation W32020821101 @default.
- W3202082110 hasConcept C114010052 @default.
- W3202082110 hasConcept C138885662 @default.
- W3202082110 hasConcept C151730666 @default.
- W3202082110 hasConcept C154945302 @default.
- W3202082110 hasConcept C204321447 @default.
- W3202082110 hasConcept C2777601683 @default.
- W3202082110 hasConcept C2779343474 @default.
- W3202082110 hasConcept C30038468 @default.
- W3202082110 hasConcept C41008148 @default.
- W3202082110 hasConcept C41895202 @default.
- W3202082110 hasConcept C49774154 @default.
- W3202082110 hasConcept C74672266 @default.
- W3202082110 hasConcept C86803240 @default.
- W3202082110 hasConceptScore W3202082110C114010052 @default.
- W3202082110 hasConceptScore W3202082110C138885662 @default.
- W3202082110 hasConceptScore W3202082110C151730666 @default.
- W3202082110 hasConceptScore W3202082110C154945302 @default.
- W3202082110 hasConceptScore W3202082110C204321447 @default.
- W3202082110 hasConceptScore W3202082110C2777601683 @default.
- W3202082110 hasConceptScore W3202082110C2779343474 @default.
- W3202082110 hasConceptScore W3202082110C30038468 @default.
- W3202082110 hasConceptScore W3202082110C41008148 @default.
- W3202082110 hasConceptScore W3202082110C41895202 @default.
- W3202082110 hasConceptScore W3202082110C49774154 @default.
- W3202082110 hasConceptScore W3202082110C74672266 @default.
- W3202082110 hasConceptScore W3202082110C86803240 @default.
- W3202082110 hasFunder F4320334764 @default.
- W3202082110 hasLocation W32020821101 @default.
- W3202082110 hasOpenAccess W3202082110 @default.
- W3202082110 hasPrimaryLocation W32020821101 @default.
- W3202082110 hasRelatedWork W2350901295 @default.
- W3202082110 hasRelatedWork W2389683447 @default.
- W3202082110 hasRelatedWork W2415935565 @default.
- W3202082110 hasRelatedWork W3107474891 @default.
- W3202082110 hasRelatedWork W3124281132 @default.
- W3202082110 hasRelatedWork W3163913918 @default.
- W3202082110 hasRelatedWork W3207288731 @default.
- W3202082110 hasRelatedWork W3217493924 @default.
- W3202082110 hasRelatedWork W329139304 @default.
- W3202082110 hasRelatedWork W2576017768 @default.
- W3202082110 hasVolume "192" @default.
- W3202082110 isParatext "false" @default.
- W3202082110 isRetracted "false" @default.
- W3202082110 magId "3202082110" @default.
- W3202082110 workType "article" @default.