Task Effectiveness Predictors: Technique Feature Analysis VS. Involvement Load Hypothesis
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
How deeply a word is processed has long been considered as a crucial factor in the realm of vocabulary acquisition. In literature, two frameworks have been proposed to operationalize the depth of processing, namely the Involvement Load Hypothesis (ILH) and the Technique Feature Analysis (TFA). However, they differ in the way they have operationalized it specially in terms of their attentional components. The present study made attempts to compare the predictability of these two frameworks for foreign language vocabulary learning task effectiveness. Seventy-six adult EFL learners in Chabahar Maritime University were randomly given one of the four vocabulary learning tasks which were ranked differently by the two frameworks and were required to learn the meaning of 10 target words. The results of the study revealed that TFA had a better explanatory power in predicting vocabulary learning gains than the ILH. The results have implications for language teachers, material developers and syllabus designers.
Language:
English
Published:
Iranian Journal of English for Academic Purposes, Volume:6 Issue: 2, Autumn 2017
Pages:
50 to 69
https://www.magiran.com/p1902743
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
A Corpus-based Evaluation of Syntactic Complexity Measures as Indices of Advanced English Text Comprehension
Peyman Nasrabady, Hooshang Khoshsima *, Nahid Yarahmadzehi, Amir Mohammadian
Iranian Journal of English for Academic Purposes, Winter 2025 -
Does Attendance Time Matter? Standard vs. Flipped Classroom on WTC, Motivation, and Autonomy
Mahboobeh Khosravani *, Hooshang Khoshsima, Amir Mohamadian
Iranian Journal of English for Academic Purposes, Spring 2024