Faramarz Kazemainy - Department of English Language and Literature, Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran
Hamed Barjesteh - Department of English Language and Literature, Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran
Nassim Golaghaei - ELT Department, Faculty of Persian Literature and Foreign Languages, Roudehen Branch, Islamic Azad University, Roudehen, Iran
Atefeh Nasrollahi Mouziraji - Department of English Language and Literature, Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran

Vocabulary Guru (VG) is a custom-made mobile application (app) developed based on the task model and agile methodology via qualitative needs analysis. This investigation intended to assess the impact of VG on EFL learners’vocabulary recognition. First, ۸۴ academic vocabularies were selected, based on their frequencies defined by the Corpus of Contemporary American English (COCA) (Davies, ۲۰۱۷) and the Academic Core Vocabulary Website (Davies & Gardner, ۲۰۱۹). From ۱۴۱ university students, ۶۰ intermediate female students were selected who were randomly assigned to an experimental group and a control group. The experimental group practiced the target vocabularies via VG, whereas the control group learned them via the conventional method. A vocabulary recognition test was developed and administered twice to both groups. Finally, two paired samples t-tests and two independent samples t-tests were utilized to estimate within and between-groups differences. The findings revealed that the experimental group outperformed the control group significantly.

Agile Methodology, Mobile Assisted Language Learning, Needs analysis, Task Model, Vocabulary Guru