Analyzing grammar errors among Hellotalk users and proposing effective correction strategies

HelloTalk is a popular social media platform where users from diverse linguistic backgrounds converge to communicate and improve their second language (L2) skills. This study focuses on grammatical errors made by users on the HelloTalk app during English interactions. Employing the observation metho...

Full description

Saved in:
Bibliographic Details
Published in:English Learning Innovation 2024-01, Vol.5 (1), p.26-37
Main Authors: Arifin, Muhammad Nur, Heriyanto, Eko, Kurniadi, Didit, Arvianti, Indah
Format: Article
Language:English
Subjects:
correction
errors
grammar
hellotalk
strategies
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 37
container_issue 1
container_start_page 26
container_title English Learning Innovation
container_volume 5
creator Arifin, Muhammad Nur
Heriyanto, Eko
Kurniadi, Didit
Arvianti, Indah
description HelloTalk is a popular social media platform where users from diverse linguistic backgrounds converge to communicate and improve their second language (L2) skills. This study focuses on grammatical errors made by users on the HelloTalk app during English interactions. Employing the observation method. Employing a qualitative approach, the study conducted a comprehensive analysis of 357 instances across 280 posts, showcasing a nuanced understanding of the challenges faced by users in their language learning journey. The identified strategies for addressing these errors encompasses several ways such as providing corrective feedback (CF), categorizing errors, utilizing language learning apps for English, and implementing a systematic approach to monitoring and tracking progress. The study's findings provided valuable insights for educators, language learners, and app developers, offering a basis for targeted interventions. Additionally, future research may explore integrating emerging technologies like artificial intelligence and natural language processing to enhance error correction efficiency and personalized feedback on language learning platforms.
doi_str_mv 10.22219/englie.v5i1.31569
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_1fccb317c12c4d5ab805393672d28e8e</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_1fccb317c12c4d5ab805393672d28e8e</doaj_id><sourcerecordid>oai_doaj_org_article_1fccb317c12c4d5ab805393672d28e8e</sourcerecordid><originalsourceid>FETCH-LOGICAL-c109e-120d3c5135074c052325178f44a00922fd3fbf71a266e1d520f856160db5ba753</originalsourceid><addsrcrecordid>eNo9kNFKwzAUhoMoOOZewKu-wObJSdO0l2OoGwy80TshpMlJ6eyakVRhPr3rJrs6Pz_8H5yPsUcOC0Tk1RP1TdfS4ke2fCG4LKobNkGFYq5yXt1eM8A9m6W0AwCsMAcUE_a57E13_G37Jmui2e9NzCjGEFNm9uFUrqnrwmC6r-w70dj2LjvEcAhpnJD3ZIf2hzIbYhxj6LM0RDNQ01J6YHfedIlm_3fKPl6e31fr-fbtdbNabueWQ0VzjuCElVxIULkFiQIlV6XPcwNQIXonfO0VN1gUxJ1E8KUseAGulrVRUkzZ5sJ1wez0IbanN446mFafixAbbeLQ2o4099bWgivL0eZOmroEKSpRKHRYUkknFl5YNoaUIvkrj4M-69YX3XrUrc-6xR-N_3XX</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Analyzing grammar errors among Hellotalk users and proposing effective correction strategies</title><source>DOAJ Directory of Open Access Journals</source><creator>Arifin, Muhammad Nur ; Heriyanto, Eko ; Kurniadi, Didit ; Arvianti, Indah</creator><creatorcontrib>Arifin, Muhammad Nur ; Heriyanto, Eko ; Kurniadi, Didit ; Arvianti, Indah</creatorcontrib><description>HelloTalk is a popular social media platform where users from diverse linguistic backgrounds converge to communicate and improve their second language (L2) skills. This study focuses on grammatical errors made by users on the HelloTalk app during English interactions. Employing the observation method. Employing a qualitative approach, the study conducted a comprehensive analysis of 357 instances across 280 posts, showcasing a nuanced understanding of the challenges faced by users in their language learning journey. The identified strategies for addressing these errors encompasses several ways such as providing corrective feedback (CF), categorizing errors, utilizing language learning apps for English, and implementing a systematic approach to monitoring and tracking progress. The study's findings provided valuable insights for educators, language learners, and app developers, offering a basis for targeted interventions. Additionally, future research may explore integrating emerging technologies like artificial intelligence and natural language processing to enhance error correction efficiency and personalized feedback on language learning platforms.</description><identifier>ISSN: 2723-7400</identifier><identifier>EISSN: 2723-7419</identifier><identifier>DOI: 10.22219/englie.v5i1.31569</identifier><language>eng</language><publisher>Universitas Muhammadiyah Malang</publisher><subject>correction ; errors ; grammar ; hellotalk ; strategies</subject><ispartof>English Learning Innovation, 2024-01, Vol.5 (1), p.26-37</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2102,27924,27925</link.rule.ids></links><search><creatorcontrib>Arifin, Muhammad Nur</creatorcontrib><creatorcontrib>Heriyanto, Eko</creatorcontrib><creatorcontrib>Kurniadi, Didit</creatorcontrib><creatorcontrib>Arvianti, Indah</creatorcontrib><title>Analyzing grammar errors among Hellotalk users and proposing effective correction strategies</title><title>English Learning Innovation</title><description>HelloTalk is a popular social media platform where users from diverse linguistic backgrounds converge to communicate and improve their second language (L2) skills. This study focuses on grammatical errors made by users on the HelloTalk app during English interactions. Employing the observation method. Employing a qualitative approach, the study conducted a comprehensive analysis of 357 instances across 280 posts, showcasing a nuanced understanding of the challenges faced by users in their language learning journey. The identified strategies for addressing these errors encompasses several ways such as providing corrective feedback (CF), categorizing errors, utilizing language learning apps for English, and implementing a systematic approach to monitoring and tracking progress. The study's findings provided valuable insights for educators, language learners, and app developers, offering a basis for targeted interventions. Additionally, future research may explore integrating emerging technologies like artificial intelligence and natural language processing to enhance error correction efficiency and personalized feedback on language learning platforms.</description><subject>correction</subject><subject>errors</subject><subject>grammar</subject><subject>hellotalk</subject><subject>strategies</subject><issn>2723-7400</issn><issn>2723-7419</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNo9kNFKwzAUhoMoOOZewKu-wObJSdO0l2OoGwy80TshpMlJ6eyakVRhPr3rJrs6Pz_8H5yPsUcOC0Tk1RP1TdfS4ke2fCG4LKobNkGFYq5yXt1eM8A9m6W0AwCsMAcUE_a57E13_G37Jmui2e9NzCjGEFNm9uFUrqnrwmC6r-w70dj2LjvEcAhpnJD3ZIf2hzIbYhxj6LM0RDNQ01J6YHfedIlm_3fKPl6e31fr-fbtdbNabueWQ0VzjuCElVxIULkFiQIlV6XPcwNQIXonfO0VN1gUxJ1E8KUseAGulrVRUkzZ5sJ1wez0IbanN446mFafixAbbeLQ2o4099bWgivL0eZOmroEKSpRKHRYUkknFl5YNoaUIvkrj4M-69YX3XrUrc-6xR-N_3XX</recordid><startdate>20240118</startdate><enddate>20240118</enddate><creator>Arifin, Muhammad Nur</creator><creator>Heriyanto, Eko</creator><creator>Kurniadi, Didit</creator><creator>Arvianti, Indah</creator><general>Universitas Muhammadiyah Malang</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20240118</creationdate><title>Analyzing grammar errors among Hellotalk users and proposing effective correction strategies</title><author>Arifin, Muhammad Nur ; Heriyanto, Eko ; Kurniadi, Didit ; Arvianti, Indah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c109e-120d3c5135074c052325178f44a00922fd3fbf71a266e1d520f856160db5ba753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>correction</topic><topic>errors</topic><topic>grammar</topic><topic>hellotalk</topic><topic>strategies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arifin, Muhammad Nur</creatorcontrib><creatorcontrib>Heriyanto, Eko</creatorcontrib><creatorcontrib>Kurniadi, Didit</creatorcontrib><creatorcontrib>Arvianti, Indah</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>English Learning Innovation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arifin, Muhammad Nur</au><au>Heriyanto, Eko</au><au>Kurniadi, Didit</au><au>Arvianti, Indah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing grammar errors among Hellotalk users and proposing effective correction strategies</atitle><jtitle>English Learning Innovation</jtitle><date>2024-01-18</date><risdate>2024</risdate><volume>5</volume><issue>1</issue><spage>26</spage><epage>37</epage><pages>26-37</pages><issn>2723-7400</issn><eissn>2723-7419</eissn><abstract>HelloTalk is a popular social media platform where users from diverse linguistic backgrounds converge to communicate and improve their second language (L2) skills. This study focuses on grammatical errors made by users on the HelloTalk app during English interactions. Employing the observation method. Employing a qualitative approach, the study conducted a comprehensive analysis of 357 instances across 280 posts, showcasing a nuanced understanding of the challenges faced by users in their language learning journey. The identified strategies for addressing these errors encompasses several ways such as providing corrective feedback (CF), categorizing errors, utilizing language learning apps for English, and implementing a systematic approach to monitoring and tracking progress. The study's findings provided valuable insights for educators, language learners, and app developers, offering a basis for targeted interventions. Additionally, future research may explore integrating emerging technologies like artificial intelligence and natural language processing to enhance error correction efficiency and personalized feedback on language learning platforms.</abstract><pub>Universitas Muhammadiyah Malang</pub><doi>10.22219/englie.v5i1.31569</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2723-7400
ispartof English Learning Innovation, 2024-01, Vol.5 (1), p.26-37
issn 2723-7400
2723-7419
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_1fccb317c12c4d5ab805393672d28e8e
source DOAJ Directory of Open Access Journals
subjects correction
errors
grammar
hellotalk
strategies
title Analyzing grammar errors among Hellotalk users and proposing effective correction strategies
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T05%3A45%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analyzing%20grammar%20errors%20among%20Hellotalk%20users%20and%20proposing%20effective%20correction%20strategies&rft.jtitle=English%20Learning%20Innovation&rft.au=Arifin,%20Muhammad%20Nur&rft.date=2024-01-18&rft.volume=5&rft.issue=1&rft.spage=26&rft.epage=37&rft.pages=26-37&rft.issn=2723-7400&rft.eissn=2723-7419&rft_id=info:doi/10.22219/englie.v5i1.31569&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_1fccb317c12c4d5ab805393672d28e8e%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c109e-120d3c5135074c052325178f44a00922fd3fbf71a266e1d520f856160db5ba753%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true