Siregar, Epi Supriani
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PENGARUH MOTIVASI BELAJAR DAN KEMAMPUAN KOGNITIF TERHADAP KINERJA SISWA Yulianti, Rizki Pramita; Siregar, Epi Supriani; Hidayat, Ikhwan Mahfud
Jurnal Korpus Vol 6 No 2: Agustus 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jik.v6i2.23411

Abstract

Artikel ini mengkaji pengaruh motivasi belajar siswa terhadap kemampuan kognitif dalam meningkatkan prestasi akademik. Artikel ini menjelaskan peran variabel hubungan guru-siswa dan penilaian pembelajaran dalam mendorong munculnya motivasi belajar siswa di tingkat sekolah dasar. Data yang digunakan adalah data primer yang dikumpulkan dari 135 guru kelas 5 dan 6 di 17 sekolah dasar di wilayah Polonia Medan, Indonesia. Analisis data Structural Equation Modeling (SEM) menunjukkan pengaruh positif terhadap asosiasi belajar dan evaluasi kinerja siswa melalui motivasi belajar dan kemampuan kognitif dengan korelasi yang signifikan (p < 0,05). Hasil dari artikel ini menunjukkan bahwa motivasi belajar siswa merupakan perantara yang mempengaruhi kemampuan kognitif dan kinerja akademik siswa di kelas.
Development of a Digital Assessment Model for Automated Short Essay Scoring in Islamic Education Study Program Susilawati, Evi; Siregar, Epi Supriani; Ekalestari, Susi; Harahap, Evi Syuriani
Fitrah: Journal of Islamic Education Vol. 6 No. 1 (2025): Juni (2025)
Publisher : Sekolah Tinggi Agam Islam Sumatera Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53802/fitrah.v6i1.1195

Abstract

Advances in digital technology have driven the transformation of assessment systems in education, including in the Islamic Education Study Program at the Universitas Islam Sumatera Utara. The manual essay assessment process is often considered inefficient, time-consuming, and prone to subjectivity on the part of assessors. This study aims to develop a Digital Automated Short Essay Scoring Assessment Model designed to enhance the effectiveness, speed, and objectivity of essay assessment for students. This study employs a research and development approach with a four-stage model, namely the definition stage, design stage, development stage, and dissemination stage, with a focus on the first three stages. Research data were collected through interviews, observations, document reviews, digital-based essay tests, and user satisfaction questionnaires. Data analysis was conducted using qualitative and quantitative descriptive approaches. The results of the study indicate that the Automated Short Essay Scoring Digital Assessment Model is valid according to experts, feasible for use, and capable of improving the efficiency of the assessment process and student motivation. This model has positive implications by supporting adaptive learning, facilitating instructors in providing quick, accurate, and structured feedback, and encouraging improved quality of academic interaction between instructors and students.