Differentiating Digitally to Investigate Young EFL Learners' Metacognitive Reading Strategies
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: 2014DOI: 10.1109/ICPR.2014.635
Keyword(s): data analysis,meta data,recommender systems,very large databases,Portuguese language,Web pages,content preferences,dataset,empirical evaluation,implicit feedback,large databases,latent factors,medium granularity,metadata,personalized ranking improvement,recommender systems,semantic information,topic hierarchies,unstructured textual content,unsupervised topic hierarchy constructor algorithm,user preferences,Business process re-engineering,Clustering algorithms,Computational
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Differentiating Digitally to Investigate Young EFL Learners' Metacognitive Reading Strategies
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| contributor author | Shen, C.-H.C. | |
| date accessioned | 2020-03-12T23:36:41Z | |
| date available | 2020-03-12T23:36:41Z | |
| date issued | 2014 | |
| identifier other | 6901499.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1117856 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Differentiating Digitally to Investigate Young EFL Learners' Metacognitive Reading Strategies | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8287663 | |
| subject keywords | data analysis | |
| subject keywords | meta data | |
| subject keywords | recommender systems | |
| subject keywords | very large databases | |
| subject keywords | Portuguese language | |
| subject keywords | Web pages | |
| subject keywords | content preferences | |
| subject keywords | dataset | |
| subject keywords | empirical evaluation | |
| subject keywords | implicit feedback | |
| subject keywords | large databases | |
| subject keywords | latent factors | |
| subject keywords | medium granularity | |
| subject keywords | metadata | |
| subject keywords | personalized ranking improvement | |
| subject keywords | recommender systems | |
| subject keywords | semantic information | |
| subject keywords | topic hierarchies | |
| subject keywords | unstructured textual content | |
| subject keywords | unsupervised topic hierarchy constructor algorithm | |
| subject keywords | user preferences | |
| subject keywords | Business process re-engineering | |
| subject keywords | Clustering algorithms | |
| subject keywords | Computational | |
| identifier doi | 10.1109/ICPR.2014.635 | |
| journal title | dvanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on | |
| filesize | 139935 | |
| citations | 0 |