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R. Dewi Mutia Farida
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Implementasi Artificial Intelligence (AI) dalam Penilaian Formatif: Studi Literatur tentang Peningkatan Akurasi Evaluasi Pembelajaran Dewi Agustina Solihin; Heny Fitriani; R. Dewi Mutia Farida; Ahmad Sofan Ansor; Rosdiana
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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Abstract

Penelitian ini bertujuan mensintesis bukti ilmiah mengenai implementasi Artificial Intelligence (AI) dalam penilaian formatif dan kontribusinya terhadap peningkatan akurasi evaluasi pembelajaran. Metode yang digunakan adalah studi literatur dengan desain Systematic Literature Review (SLR) pada rentang publikasi 2015–2025. Proses seleksi mengikuti tahapan identifikasi, penyaringan, penilaian kelayakan, dan inklusi, dengan fokus pada studi yang membahas AI untuk penilaian formatif serta menyertakan bukti kualitas evaluasi seperti validitas, reliabilitas/konsistensi, agreement AI–penilai manusia, dan/atau kegunaan umpan balik. Sintesis kualitatif dilakukan terhadap 10 studi kunci yang merepresentasikan spektrum implementasi, termasuk automated writing evaluation/automated essay scoring, intelligent tutoring system, pendekatan deep learning, serta large language models untuk umpan balik dan penilaian. Hasil menunjukkan bahwa AI dapat meningkatkan akurasi evaluasi melalui: (1) penguatan validitas ketika output AI selaras dengan konstruk dan rubrik, (2) peningkatan konsistensi penilaian serta efisiensi pemberian umpan balik, dan (3) dukungan diagnosis kesalahan yang membantu tindakan perbaikan belajar. Namun, efektivitas AI sangat dipengaruhi moderator implementasi, terutama kejelasan rubrik, desain siklus revisi, kualitas dan representativitas data, literasi umpan balik siswa, serta peran guru dalam human-in-the-loop. Studi juga menyoroti risiko yang dapat menurunkan akurasi, seperti bias/fairness, rendahnya transparansi, overreliance, dan isu tata kelola data. Kesimpulannya, AI paling efektif meningkatkan akurasi evaluasi pembelajaran bila diterapkan sebagai pendukung asesmen formatif yang terintegrasi pedagogis dan dikendalikan melalui verifikasi guru serta standar evaluasi yang jelas.
Learning Management System Usage and English Learning Motivation: Evidence from a Simple Linear Regression Study Aam Amaliah; Heny Fitriani; Rosdiana; R. Dewi Mutia Farida; Fitriani Yuniar
Information Technology Education Journal Vol. 4, No. 4, November (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i4.10779

Abstract

The integration of Learning Management Systems (LMS) has become an essential component of English language instruction in higher education, particularly in vocational contexts. However, empirical evidence explaining how LMS usage influences students’ learning motivation remains limited. This study aims to examine the effect of LMS usage on students’ motivation in learning English using a quantitative explanatory approach. The study involved 120 vocational higher education students enrolled in English courses, selected through proportionate stratified random sampling. Data were collected using a Likert-scale questionnaire and analyzed using simple linear regression with SPSS. The results indicate that LMS usage has a significant positive effect on students’ English learning motivation (β = 0.484, p < 0.001), with an R² value of 0.318, suggesting that LMS usage explains 31.8% of the variance in learning motivation. These findings demonstrate that structured LMS features, interactive content, and timely feedback contribute meaningfully to students’ motivational engagement in English learning. This study provides empirical evidence that LMS functions not only as a digital learning platform but also as a motivational driver in vocational English education, offering practical implications for instructors and institutions in designing effective LMS-supported learning environments.
Co-Authors Aam Amaliah Ahmad Sofan Ansor Dewi Agustina Solihin Fitriani Yuniar Heny Fitriani Rosdiana