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The Effectiveness of Auditory Intellectually Repetition (AIR) on Listening Skill Ability Through Podcasts Haifa, Haifa; Athena, Tera; Maria Ulfa, Siti
English Teaching Journal : A Journal of English Literature, Language and Education Vol. 12 No. 2 (2024)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/etj.v12i2.21597

Abstract

This study investigates the impact of the Auditrory Intellectually Repetition (AIR) learning model implemented through podcasts on Class XI students’ listening skills. The research aims to enhance students’ listening comprehension and engagement, with a focus on the effectiveness of the AIR model. A pre-test was conducted on 28 students in the experimental group to assess their intial listening skills. The results indicated varying levels of proficiency among the students. Following treatment with the AIR learning model through podcasts, a significant improvement in listening comprehension was observed in the comparison of the experimental group with the control group. The findings support the efficacy of the AIR learning model in enhancing students’ listening abilities, aligning with previous research in the field. The study contributes to the existing literature on the importance of listening ability in language education it also underscores the potential benefits of utilizing podcasts for improving listening comprehension.
Integrating AI-Based Tools to Support Students’ Argumentative Writing Development Siti Maria Ulfa; Tera Athena; Mariyatul Kiptiyah; Iin Rachmawati; Maulana Yusuf Aditya
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.154

Abstract

This study explores the integration of Artificial Intelligence (AI)-based tools in supporting university students’ development of argumentative writing skills in an English as a Foreign Language (EFL) context. Writing an argumentative text requires students to construct clear thesis statements, justify arguments with credible evidence, and ensure logical coherence throughout the text. A qualitative descriptive design was employed involving undergraduate EFL students who utilized AI-supported applications, such as AI writing assistants and automated feedback tools, during a series of writing activities. Data were gathered through students’ written products, classroom observations, and semi-structured interviews. The results show that the use of AI-based tools enhances students’ accuracy, idea organization, and lexical choices, particularly in improving their argument clarity and cohesion. However, the findings also reveal students’ dependency on AI suggestions, indicating the need for critical awareness in using AI responsibly. The study concludes that AI-based tools can serve as effective learning support when used under guided instruction, promoting students’ argumentative writing competence and autonomy.