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Direct linkRasti-Behbahani, Amin; Shahbazi, Maryam – Computer Assisted Language Learning, 2022
This study investigates the probable effect of a digital game-based vocabulary learning (DGBVL) task on the acquisition of some components of a word knowledge framework. In so doing, 124 Persian speakers (56 males and 68 females) were randomly assigned to either a control or an experimental group. The experimental group participants completed a…
Descriptors: Computer Games, Game Based Learning, Comparative Analysis, Task Analysis
Barabadi, Elyas; Khajavi, Yaser – Cogent Education, 2017
Corpus-based data-driven learning (DDL) is an innovation in teaching and learning new vocabulary for EFL students. Using teacher-prepared materials obtained from COCA corpus, the goal of the present study is to compare DDL and traditional methods of teaching vocabulary like consultation of dictionary or a grammar book. As such, two intact classes…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Vocabulary
Download full textRoghani, Shadan; Milton, James – TESOL International Journal, 2017
This paper reports an investigation into whether a test of productive vocabulary size using a category generation task can be useful and effective. A category generation task is a simple task where learners are asked to name as many as words as they can from a prescribed category such as "animals" or "body" parts. The virtue of…
Descriptors: Vocabulary Development, English (Second Language), Language Tests, Second Language Learning
Nowbakht, Mohammad; Shahnazari, Mohammadtaghi – Advances in Language and Literary Studies, 2015
In the present study, the comparative effects of comprehensible input, output and corrective feedback on the receptive acquisition of L2 vocabulary items were investigated. Two groups of beginning EFL learners participated in the study. The control group received comprehensible input only, while the experimental group received input and was…
Descriptors: Comparative Analysis, Linguistic Input, Pretests Posttests, Feedback (Response)
