Learner Background and Approaches to Vocabulary Learning
2018
- 919Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage919
- Downloads805
- Abstract Views114
Thesis / Dissertation Description
Language learners have many assets to consider in the process of planning language instruction (Echevarría et al., 2017). One of the most obvious areas of difficulty in predicting students’ prior knowledge is in vocabulary. Teachers must be aware of their students’ approaches to independently learning new vocabulary in order to plan effective instruction (Nation, 2013; Yang & Wang, 2015; Alharbi, 2015; Echevarría et al., 2017; etc.). Brown (2013) and the pilot for this study have found inconsistencies in students’ approaches. This study sought to determine whether these inconsistencies were predictable based on the variables of gender, academic major, and linguistic background. Participants completed a word card creation task and a demographic and language-learning strategy use survey. The strategy survey and the information from the word cards was compared to the demographic survey. Most variables did not lead to statistically significant results. However, there were statistically significant differences in word card data according to participant linguistic background and gender. If these differences continue to appear in research, teachers could use this information to anticipate and plan efficiently for the needs of their students.
Bibliographic Details
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