Investigating the effectiveness of vocabulary learning tasks from the perspective of the technique feature analysis: the effects of pictorial annotations
Yan Huang,
Di Zou,
Fu Lee Wang,
Reggie Kwan and
Haoran Xie
International Journal of Innovation and Learning, 2020, vol. 27, issue 3, 254-273
Abstract:
This study investigates the effectiveness of three kinds of word learning exercises in terms of Nation and Webb's (2011) technique feature analysis. Three commonly used vocabulary learning tasks: reading comprehension, sentence writing, and cloze-exercise were combined with two types of annotations: pictorial annotations and textual annotations in four tasks. Tasks 1 and 3 were provided with pictorial annotation, while tasks 2 and 4 were textual annotations. 130 college students were recruited and allocated randomly to the four tasks groups to test their learning effectiveness respectively. The results demonstrated that cloze-exercises with textual glosses were as effective as reading comprehension with pictorial glosses, and cloze-exercises with pictorial glosses were as effective as sentence-writing with textual glosses, which is in accord with the checklist of technique feature analysis and confirms the effectiveness of pictorial annotations to word learning.
Keywords: technique feature analysis; pictorial annotations; vocabulary acquisition; textual annotations; imaging. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=106810 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:27:y:2020:i:3:p:254-273
Access Statistics for this article
More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().