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OPTIMALISASI PENGGUNAAN CHATGPT DALAM PENULISAN ARTIKEL MAHASISWA PENDIDIKAN BAHASA INGGRIS Utami Rosalina; Siti Sahronih; Mochamad Guntur
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.31548

Abstract

Penelitian ini menyelidiki efektivitas ChatGPT dalam memfasilitasi penulisan artikel penelitian di bidang pendidikan bahasa Inggris. Dengan menggunakan pendekatan deskriptif kualitatif, sampel data dianalisis menggunakan Turnitin untuk mendeteksi tingkat plagiarisme dalam artikel yang dihasilkan ChatGPT. Namun, penelitian ini terkendala oleh jumlah sampel;yang dibatasi karena terbatasnya sumber daya dan waktu. Penelitian bertujuan untuk mengevaluasi kegunaan ChatGPT dalam meningkatkan kualitas artikel penelitian pendidikan bahasa Inggris. Tujuan dari penelitian ini adalah untuk mendeskripsikan tentang bagaimana mengoptimalkan penggunaan ChatGPT dalam membantu proses penulisan artikel ilmiah pada bidang pendidikan Bahasa Inggris serta apakah apakah ChatGPT mampu meningkatkan kualitas dalam penulisan artikel ilmiah yang dihasilkan. Hasil dari penelitian ini diharapkan mampu memberikan kontribusi pada penelitian terbaru tentang fungsi ChatGPT dalam mendukung proses penulisan artikel ilmiah dalam penelitian pendidikan bahasa Inggris, serta memberikan masukan untuk peneliti lain atau untuk guru dan dosen dalam menggunakan ChatGPT sebagai alat bantu dalam proses penulisan artikel ilmiah.
Capability for Exploration Students in Statistical Literacy: A Case of Quantitative Reasoning Guntur, Mochamad; Retta, Allen Marga; Andriani, Nining; Siregar, Pariang Sonag
Mandalika Mathematics and Educations Journal Vol 7 No 2 (2025): Edisi Juni
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v7i2.8952

Abstract

Statistics is often considered a challenging subject, where high levels of anxiety can hinder understanding of the material, affect results, and hinder the development of statistical skills. This study aims to analyze effectiveness of four learning strategies namely tutorial learning, presenter learning, project online learning, and project face to face learning in improving students' statistical literacy skills. This study used a quantitative approach with a posttest group design research design involving 140 students who were divided into four treatment groups. The analysis technique used is MANOVA (Multivariate Analysis of Variance) with the stages of normality test, homogeneity, multiple comparisons, and Tukey HSD further test. The results show that Tutorial Learning, Presenter Learning, and Project Face to Face Learning strategies have a more significant impact on improving statistical literacy. The three strategies showed relatively balanced effectiveness in improving students' statistical skills. This finding confirms the importance of selecting appropriate learning strategies to promote a deep and meaningful understanding of statistics. This research provides an empirical contribution to the development and selection of appropriate learning strategies, especially in statistics education at the tertiary level. It also recommends further exploration of innovative, contextual, and adaptive combinations of learning strategies to students' needs.
AI-powered pedagogy for argumentative essays in tertiary ELT: Insights from focus groups Williyan, Aldha; Ilyas, Muhammad; Shahat, Salah; Guntur, Mochamad; Rosalina, Utami
Journal of General Education and Humanities Vol. 4 No. 3 (2025): August
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v4i3.423

Abstract

This study explores AI-powered pedagogy for teaching argumentative essays in tertiary English Language Teaching (ELT) through focus group discussions with six experienced ELT lecturers. The research addresses two key questions: how to develop AI-powered lesson plans for argumentative essay writing systematically, and what EFL students' perceptions of AI-powered tools' impact on specific dimensions of argumentative writing are. Using Framework Analysis of qualitative data, the study identifies four areas where AI enhances instruction: scaffolding argument development, providing real-time feedback, improving peer review, and fostering reflective revision. These insights informed the development of a structured 110-minute lesson plan integrating AI tools throughout the writing process. Student questionnaires revealed overwhelmingly positive attitudes (82-90%) toward AI-powered tools, with benefits perceived in generating better arguments, improving writing skills, structuring essays, and identifying flaws in reasoning. The findings suggest that AI, when thoughtfully integrated, can address persistent challenges in argumentative writing instruction by providing personalised support while maintaining a balance between technological assistance and learner autonomy. This research contributes to the growing discourse on AI integration in language education.