the impact of multimodal texts on reading achievement: a study of iranian secondary school learners

;Bahareh Baharani;Narjes Ghafournia
neuropeptides 2015 Vol. 4 pp. 161-170
175
baharani2015internationalthe

Abstract

This study was designed to investigate the impact of multimodal text on reading comprehension test performance of Iranian intermediate learners. A total of 80 students participated in this study. All of them were Iranian female EFL learners with the age ranging from 16 to 18. They were selected from a boarding high school in Nasr Abad, Torbat Jam in Khorasan e Razavi, Iran. The students were randomly settled in four groups, who received different instructional approaches through using linear texts, multimodal printed texts, non-printed multimodal texts, and both multimodal printed and non-printed texts.  A pre-test and post-test were used to find out the differences before and after the experimental treatment.  The results reflected that the printed and non-printed multimodal texts had significant impact on reading comprehension test performance. In contrast, applying linear texts or traditional texts did not exert significant influence on reading comprehension ability of the participants. The findings provide useful hints for language instructors to improve effectiveness of instructional reading curriculums and reading ability of language learners. The participants who learned reading comprehension through using multimodal printed and non-printed texts enjoy reading programs and develop their intrinsic and extrinsic motivation for improving reading ability.

Citation

ID: 240592
Ref Key: baharani2015internationalthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
240592
Unique Identifier:
10.7575/aiac.ijalel.v.4n.4p.161
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet