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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Malang
2024-01-01
|
| Series: | English Learning Innovation |
| Subjects: | |
| Online Access: | https://ejournal.umm.ac.id/index.php/englie/article/view/31569 |
| _version_ | 1797279731881607168 |
|---|---|
| author | Muhammad Nur Arifin Eko Heriyanto Didit Kurniadi Indah Arvianti |
| author_facet | Muhammad Nur Arifin Eko Heriyanto Didit Kurniadi Indah Arvianti |
| author_sort | Muhammad Nur Arifin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-07T16:30:14Z |
| format | Article |
| id | doaj.art-1fccb317c12c4d5ab805393672d28e8e |
| institution | Directory Open Access Journal |
| issn | 2723-7400 2723-7419 |
| language | English |
| last_indexed | 2024-03-07T16:30:14Z |
| publishDate | 2024-01-01 |
| publisher | Universitas Muhammadiyah Malang |
| record_format | Article |
| series | English Learning Innovation |
| spelling | doaj.art-1fccb317c12c4d5ab805393672d28e8e2024-03-03T10:59:58ZengUniversitas Muhammadiyah MalangEnglish Learning Innovation2723-74002723-74192024-01-0151263710.22219/englie.v5i1.3156929422Analyzing grammar errors among Hellotalk users and proposing effective correction strategiesMuhammad Nur Arifin0Eko Heriyanto1Didit Kurniadi2Indah Arvianti3Language and Culture Faculty, AKI University, Semarang, IndonesiaLanguage and Culture Faculty, AKI University, Semarang, IndonesiaLanguage and Culture Faculty, AKI University, Semarang, IndonesiaLanguage and Culture Faculty, AKI University, Semarang, IndonesiaHelloTalk 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.https://ejournal.umm.ac.id/index.php/englie/article/view/31569hellotalkgrammarerrorscorrectionstrategies |
| spellingShingle | Muhammad Nur Arifin Eko Heriyanto Didit Kurniadi Indah Arvianti Analyzing grammar errors among Hellotalk users and proposing effective correction strategies English Learning Innovation hellotalk grammar errors correction strategies |
| title | Analyzing grammar errors among Hellotalk users and proposing effective correction strategies |
| title_full | Analyzing grammar errors among Hellotalk users and proposing effective correction strategies |
| title_fullStr | Analyzing grammar errors among Hellotalk users and proposing effective correction strategies |
| title_full_unstemmed | Analyzing grammar errors among Hellotalk users and proposing effective correction strategies |
| title_short | Analyzing grammar errors among Hellotalk users and proposing effective correction strategies |
| title_sort | analyzing grammar errors among hellotalk users and proposing effective correction strategies |
| topic | hellotalk grammar errors correction strategies |
| url | https://ejournal.umm.ac.id/index.php/englie/article/view/31569 |
| work_keys_str_mv | AT muhammadnurarifin analyzinggrammarerrorsamonghellotalkusersandproposingeffectivecorrectionstrategies AT ekoheriyanto analyzinggrammarerrorsamonghellotalkusersandproposingeffectivecorrectionstrategies AT diditkurniadi analyzinggrammarerrorsamonghellotalkusersandproposingeffectivecorrectionstrategies AT indaharvianti analyzinggrammarerrorsamonghellotalkusersandproposingeffectivecorrectionstrategies |