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All Journal Online Learning in Educational Research Jurnal Abdimas Bencoolen
Rostika, Rince Aida
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Unveiling the Dual Nature of AI in Grading: A Systematic Review of Benefits and Mitigation Strategies for Algorithmic Bias Risdianto, Eko; Rostika, Rince Aida; Razak, Ahmad Zabidi Abdul; Kartika, Hera Anis; Fitria, Jeni
Online Learning In Educational Research (OLER) Vol 5, No 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.695

Abstract

The use of Artificial Intelligence (AI) in educational evaluation optimizes learning outcomes. This research seeks to address the advantages and difficulties of implementing AI within academic evaluation frameworks with particular emphasis on the algorithmic bias problem and its implications for fairness in education. The absence of a thorough grasp of algorithmic bias, particularly how it can be utilized as a weapon against equitable education, reveals an important gap. We conduct a Systematic Literature Review (SLR) and bibliometric analysis on 121 articles sourced from Scopus published between 2021 to 2025 to trace the trends and examine the impacts and biases of AI on grading systems. The data demonstrates a significant increase in publications beginning 2018, concentrating on topics such as educational applications of AI, automated grading systems, and machine learning. The findings further indicate that though AI improves efficiency and consistency of the evaluations, it heightens the chances of biased outcomes because of non-diverse training data, prejudiced developers, and socio-cultural frameworks that could worsen the situation for already marginalized learners. In summary, this study highlights the critical gaps in bias mitigation strategies arising from the lack of ethical design frameworks, antecedent-free algorithms, and educator prep courses aimed at combating bias. These outcomes serve as benchmarks for the creation of more reliable and comprehensive AI systems for assessments and shift subsequent investigations to focus validation on different cultures and the incorporation of just AI design paradigms
PENDAMPINGAN PENGGUNAAN APLIKASI CANVA SEBAGAI MEDIA PEMBUATAN BAHAN AJAR BAGI GURU SDN 109 BENGKULU UTARA Heryanto, Debi; Ramadhan Z, Teo; Qona’ah, Liza; Kurniani, Riska; Lestari, Yeni; Rostika, Rince Aida; Siputri, Aulia Dwi
Jurnal Abdimas Bencoolen Vol. 3 No. 3 (2025)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/abdimas.3.3.73-80

Abstract

Tujuan dari pengabdian ini adalah untuk meningkatkan pengetahuan guru tentang bahan ajar dan pemanfaatan aplikasi canva dalam membuat bahan ajar pembelajaran di Sekolah dasar. Metode pelaksanaan dalam pengabdian ini adalah tahap persiapan, penyampaian materi dan Tanya jawab, pembuatan bahan ajar dan evaluasi dengan tjuan untuk mengukur keberhasilan pengabdian. Adapun hasil yang dapat pada pengabdian ini adalah dengan hasil sebagai yakni: (1) pemahaman guru tentang bahan ajar pretest 70,55 dan posttest 87,25; (2) Hasil pemahaman guru tentang pembuatan bahan ajar dengan memanfaatkan aplikasi canva pretest 75,25 dan posttest 92,50; dan (3) Hasil keterampilan guru dalam pembuatan bahan ajar menggunakan aplikasi canva pretest 70,00 dan posttest 93,75. Kesimpulan pada pengabdian ini adalah dapat meningkatkan pemahaman guru tentang bahan ajar, hasil pemahaman guru tentang pembuatan bahan ajar berbasis canva dan meningkatkan keterampilan guru dalam pembuatan bahan ajar berbasis canva.
Co-Authors Eko Risdianto Fitria, Jeni Heryanto, Debi Kartika, Hera Anis Kurniani, Riska Qona’ah, Liza Ramadhan Z, Teo Razak, Ahmad Zabidi Abdul Siputri, Aulia Dwi Yeni Lestari