Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文
Research Article

Computer-Assisted Language Learning: Its Effectiveness in Enhancing Receptive Skills of College Students

291 reads
Emmanuel Gumban
Psych Educ Multidisc J, 2024, 24 (4), 455-460, DOI: https://doi.org/10.5281/zenodo.13377395, ISSN 2822-4353
Verified on SciChain · token #3495 of SciMatic Articles (ERC-1155, 1,000,000 tokens)
Contract 0x0E596B4b…F05eF8 · mint transaction · verify the record

Abstract

Listening and reading are receptive skills that are crucial components of language learning. This study aimed to determine the effectiveness of Computer-Assisted Language Learning software in enhancing the receptive skills of college students during the Academic Year 2022-2023. This study is anchored on the theory of constructivism and Input Processing Theory. The study utilized a descriptive research design. The study participants were two hundred twenty-nine (299) first-year college students of a private tertiary school in Bacolod City. The pre-test and post-test scores of the college students in a standardized language test were used to determine the effectiveness of CALL. The results show that, generally, there is a significant difference in the pre-test and post-test scores of the students in terms of their listening and reading skills. The findings of this study suggest that students' receptive skills, may have improved as a result of incorporating CALL (Computer-Assisted Language Learning) into their English classes. Hence, it is recommended that CALL be used to develop students’ receptive skills.

Keywords receptive skills, listening, reading, computer-assisted language learning
Author 1
View Publication Certificate View PDF Cite This Article Back to Archives

The team behind this paper

1 author, 1 institution.

This paper Riverside College — Philippines Riverside College 1 author Emmanuel Gumban — corresponding author EG Emmanuel Gumban ✉

Readership

291 reads over 27 months.

August 2024 October 2026

Related work on SciMatic

Closest of 5 articles sharing keywords with this one. A rarer shared keyword counts for more than a common one.

On SciChain

This article is token #3495 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
SciMatic 0xc35709…277732 100,000 (10%)
Emmanuel Gumban 0x6D9C83…669e27 900,000 (90%)
Content hash 0xa1af56a87d0decb981840d962856e3f3222df2aff74fb632a147cc15fc9ccd6b
View on the explorer Verify the record Mint transaction

Bibliographic Information

Emmanuel Gumban (2024). Computer-Assisted Language Learning: Its Effectiveness in Enhancing Receptive Skills of College Students, Psychology and Education: A Multidisciplinary Journal, 24(4): 455-460
Bibtex Citation
@article{emmanuel_gumban2024pemj,
author = {Emmanuel Gumban},
title = {Computer-Assisted Language Learning: Its Effectiveness in Enhancing Receptive Skills of College Students},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2024},
volume = {24},
number = {4},
pages = {455-460},
doi = {10.5281/zenodo.13377395},
url = {https://scimatic.org/show_manuscript/3495}
}
APA Citation
Gumban, E., (2024). Computer-Assisted Language Learning: Its Effectiveness in Enhancing Receptive Skills of College Students. Psychology and Education: A Multidisciplinary Journal, 24(4), 455-460. https://doi.org/10.5281/zenodo.13377395

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Provide a face photo, and not full body.
  • It is better to remove the background from your photo. Go to Remove Background and then upload to profile
  • If you are unable to login, go to Reset My Password provide your email registered with the article and get new password.
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org