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The Impact of Google Gemini Artificial Intelligence–Assisted Instruction on Students’ Paragraph Writing Ability Yuliani, Sri; Mardatillah, Annisa; Shalawati, Shalawati; Hartanto, Dicki; Masrul, Masrul; Dwiyanti, Lisa
Journal of English Language and Education Vol 11, No 2 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i2.2307

Abstract

The increasing use of artificial intelligence (AI) in language education has drawn significant attention to its potential to support students’ writing development. This study investigates the impact of Gemini AI–assisted instruction on students’ paragraph writing ability using a one-shot case study experimental design. Gemini AI was integrated into the instructional process for undergraduate students enrolled in a paragraph writing course. Following the intervention, 28 students completed a post-test in the form of a paragraph writing task. Their writing was evaluated using an analytical scoring rubric focusing on coherence, organization, vocabulary use, grammatical accuracy, and unity. The findings indicate that Gemini AI provided effective scaffolding during the writing process, as students demonstrated satisfactory to strong performance, particularly in organization, idea development, and coherence. Although the one-shot design limits causal interpretation due to the absence of a pre-test and control group, the results offer initial empirical evidence of the pedagogical potential of Gemini AI in paragraph writing instruction. The study therefore recommends further research using more rigorous experimental designs and highlights the importance of integrating AI tools in a careful and pedagogically informed manner.
PENGARUH PERBANDINGAN AMPAS KOPI DAN PUPUK KANDANG TERHADAP PERTUMBUHAN TANAMAN CABAI MERAH (Capsicum annuum L.) Mardatillah, Annisa; Herlina, Nofripa; Irma, Wirdati Irma
EduNaturalia: Jurnal Biologi dan Kependidikan Biologi Vol. 7 No. 1 (2026)
Publisher : FKIP Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/edunaturalia.v7i1.97994

Abstract

Red chili (Capsicum annuum L.) is one of Indonesia’s major horticultural commodities with high economic value and an essential role in national food security. Farmers’ dependence on chemical fertilizers in the long term can reduce soil fertility and cause environmental pollution; therefore, environmentally friendly and cost-effective organic fertilizer alternatives are needed. This study aimed to analyze the effect of coffee grounds and manure ratio on the growth of red chili plants and to determine the optimal combination that supports the best vegetative performance. The research was conducted as a field experiment using a Completely Randomized Design (CRD) consisting of six treatments with three replications, namely combinations of coffee grounds and manure (P1 = 50:0 g; P2 = 40:10 g; P3 = 30:20 g; P4 = 0:20 g; P5 = 5:15 g; P6 = 10:10 g). Growth parameters observed included plant height and number of leaves, measured weekly for four weeks. Data were analyzed using the Kruskal–Wallis test followed by the Mann–Whitney test. The results showed that the combination of 30 g coffee grounds and 20 g manure (P3) produced the highest plant height, while 40 g coffee grounds and 10 g manure (P2) resulted in the greatest number of leaves. A balanced ratio of coffee grounds and manure improved soil structure and nutrient availability, thus supporting optimal vegetative growth of red chili plants.