Novita Kusumaning Tyas
Universitas Sains dan Teknologi Komputer

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The Role Of Artificial Intelligence (AI) In Developing English Language Learner's Communication Skills Rusmiyanto Rusmiyanto; Nining Huriati; Nining Fitriani; Novita Kusumaning Tyas; Agus Rofi’i; Mike Nurmalia Sari
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i1.2990

Abstract

In today's globalized world, the increasing need for English language ability has highlighted the necessity of good language acquisition and communication abilities. Artificial Intelligence (AI) has emerged as a viable aid in the field of education, including language acquisition, as technology advances. This study does a literature review to investigate the function of AI in the development of communication skills in English language learners. The goal of this research is to look at the existing research and literature on the use of AI-based technologies in English language learning environments. The essay opens with an overview of artificial intelligence and its possible uses in education. It then looks into the various methods in which AI might help English language learners strengthen their communication skills, including speaking, listening, reading, and writing. The findings of this literature review suggest that AI has the potential to significantly enhance English language learners' communication skills by providing personalized and interactive learning experiences. However, further research is needed to explore the long-term effects and optimal integration of AI in language learning environments. In conclusion, this article highlights the transformative role of AI in English language education and its potential to address the diverse needs of language learners. By understanding the current state of research and exploring the opportunities and challenges presented by AI in language learning, educators and policymakers can make informed decisions to harness the benefits of AI technology and maximize its impact on developing effective communication skills among English language learners.
An Error Analysis of Grammatical Errors in Students’ Descriptive Texts at Universitas Terbuka Novita Kusumaning Tyas; Ariana Oktavia
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 4 No. 1 (2025): April : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v4i1.2853

Abstract

The focus of this research is on identifying grammar errors in students’ descriptions of office spaces.Using Corder’s (1974) taxonomy, four types of errors were identified: omission, addition, misformation, and misordering. Data were collected from eight students and analyzed qualitatively. The results show that misformation was the most frequent error, followed by omission, addition, and misordering. These findings suggest that students’ writing skills are still influenced by incomplete language development and native language interference. The study recommends grammar-focused feedback and the use of authentic materials to improve students’ accuracy and fluency in English writing.
Virtual Classroom in the Hand: Adapting an E-Learning Platform for English Language Learners Nur Latifah; Nikhil Joshi; Novita Kusumaning Tyas; Nining Fitriani; Ariana Oktaviana
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1767

Abstract

Background. The development of digital technology has changed the paradigm of foreign language education, but existing e-learning platforms are still not fully able to accommodate the diversity of individual needs of students. Purpose. This study aims to develop and test the effectiveness of adaptive e-learning platforms that are able to dynamically adjust learning content based on students' characteristics, learning styles, and English language skills. Method. The results showed a significant increase in English language competence in the experimental group with an average score increase of 23.2 points. Statistical analysis revealed a positive correlation between content personalization and learning motivation (p<0.01). Adaptive platforms have been proven to be effective in lowering language anxiety and increasing students' confidence. Results. The conclusion of the study confirms the transformative potential of adaptive technology in foreign language education. A platform that integrates artificial intelligence, psychological approaches, and innovative pedagogical is able to create a personalized and meaningful learning experience. Conclusion. The study concludes that mobile-compatible e-learning platforms can effectively support ELLs, providing an engaging and accessible learning environment that enhances language proficiency. Further research is recommended to explore long-term retention rates and the impact of additional personalized features.