The Impact of Artificial Intelligence on Educational Assessment: A Meta-Analysis
Evaluating AI-Powered Assessment Tools and Their Effectiveness in Learning Outcomes
Penulis: Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Sarah Johnson, Ph.D., Dr. Ahmad Wijaya, S.T., M.T.
Penulis Korespondensi: Prof. Dr. Mada Rahman, S.Kom., M.T.
Jurnal: Educational Technology Research and Development
Penerbit: Springer
Tanggal Publikasi: 03/09/2024
Volume: 72 , Issue: 4
Halaman: 1567-1592
Abstrak
Abstract
This meta-analysis examines the impact of artificial intelligence on educational assessment practices. We synthesize findings from 85 empirical studies published between 2018-2024 to evaluate the effectiveness of AI-powered assessment tools.
AI Assessment Applications:
- Automated essay scoring and feedback
- Adaptive testing and personalized assessment
- Learning analytics and predictive modeling
- Plagiarism detection and academic integrity
- Competency-based assessment
Meta-Analysis Results:
- Assessment accuracy improved by 28% with AI tools
- Student learning outcomes enhanced by 22%
- Assessment time reduced by 45%
- Teacher workload decreased by 35%
- Student satisfaction increased by 31%
The analysis reveals significant benefits of AI in educational assessment while highlighting important considerations for implementation.
Kata Kunci
artificial intelligence, educational assessment, meta-analysis, learning outcomes, AI assessment tools
Bidang Subjek
Education Technology
Informasi Tambahan
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Lihat Jurnal
Artificial Intelligence, Educational Assessment, Learning Analytics
Kategori: Jurnal Internasional
Diterbitkan: 29/12/2025 01:22:49