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Unveiling the Dual Nature of AI in Grading: A Systematic Review of Benefits and Mitigation Strategies for Algorithmic Bias Eko Risdianto; Rince Aida Rostika; Ahmad Zabidi Abdul Razak; Hera Anis Kartika; Jeni Fitria
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 Debi Heryanto; Teo Ramadhan Z; Liza Qona’ah; Riska Kurniani; Yeni Lestari; Rince Aida Rostika; Aulia Dwi Siputri
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.
Bibliometric Analysis of the Trend of Virtual Reality Use in Physics Learning: Focusing on the Kuula Platform and Its Impact on the Learning Outcomes of Fluid Material Rince Aida Rostika; Bodi Gunawan
Journal of Sustainable Educational Technology and Innovation Vol. 1 No. 1 (2025): Journal of Sustainable Educational Technology and Innovation
Publisher : APS-TPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jseti.v1i1.3

Abstract

Background of Study: Fluid material in physics is often difficult to understand due to its abstract nature and the need for dynamic visualization. VR technology is considered capable of providing an immersive and interactive learning experience, thereby supporting student understanding and engagement more effectively.Aims and Scope of Paper: This research aims to analyze the potential development of VR(Virtual Reality) based learning media in physics education, focusing on the use of the Kuula platform to improve student learning outcomes on fluid material in 11th-grade high school.Methods: In this study, a bibliometric analysis was conducted to explore publication trends and scientific findings related to the application of VR in physics learning, especially those relevant to the Kuula platform and fluid topics. Data were obtained from 145 Scopus-indexed articles from 2020 to 2025 and analyzed using software Biblioshiny and VOSviewer.Result: The analysis shows an increase in publications related to VR in education, with a primary focus on enhancing student engagement, learning motivation, and understanding of abstract concepts. Bibliometric visualization indicates a strong connection between VR and the fields of education, technology, and health, with China and the United States emerging as dominant contributors. However, the decline in average citations per article suggests the need to improve the quality and depth of research in this area.Conclusion: Overall, these findings affirm that VR-based physics learning media have significant potential in improving student learning outcomes on fluid topics, as well as highlighting the importance of developing a curriculum responsive to advancements in educational technology.