AI-RESILIENT PROCESS-BASED ASSESSMENT AND ORAL VERIFICATION IN S2 PAI UNZAH
Keywords:
Generative AI, Process-Based Assessment, Oral Verification, Academic Integrity, Graduate Islamic EducationAbstract
This article develops an AI-resilient process-based assessment and oral-verification model for the S2 PAI Program at Universitas Islam Zainul Hasan Genggong. Generative artificial intelligence can support idea generation, language revision, and feedback, but it also weakens the validity of unsupervised written products when student contribution cannot be verified. Using qualitative descriptive library research, the study synthesizes literature and policy guidance on generative AI, authentic assessment, academic integrity, oral assessment, and feedback. The findings show that assessment validity can be strengthened by collecting process evidence such as topic decisions, source notes, draft history, prompt disclosure, verification logs, feedback responses, and reflective justification. A short oral verification can probe core concepts, sources, methodological choices, and revisions. AI use should be classified by task purpose rather than treated through a universal ban, and students must disclose how tools affected the work. The study concludes that AI resilience depends on assessment redesign, clear rules, and verification of learning, not on unreliable detection alone. Equity, privacy, accessibility, and lecturer workload must be addressed in implementation.
Downloads
References
Boud, D., & Falchikov, N. (2006). Aligning assessment with long-term learning. Assessment & Evaluation in Higher Education, 31(4), 399-413. https://doi.org/10.1080/02602930600679050
Carless, D., & Boud, D. (2018). The development of student feedback literacy: Enabling uptake of feedback. Assessment & Evaluation in Higher Education, 43(8), 1315-1325. https://doi.org/10.1080/02602938.2018.1463354
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148
Joughin, G. (1998). Dimensions of oral assessment. Assessment & Evaluation in Higher Education, 23(4), 367-378. https://doi.org/10.1080/0260293980230404
Khlaif, Z. N., Mousa, A., Hattab, M. K., Itmazi, J., Hassan, A. A., Sanmugam, M., & Ayyoub, A. (2025). Redesigning assessments for AI-enhanced learning: A framework for educational change. Education Sciences, 15(2), 174. https://doi.org/10.3390/educsci15020174
Nieminen, J. H., Bearman, M., & Ajjawi, R. (2023). Designing the digital in authentic assessment: Is it fit for purpose? Assessment & Evaluation in Higher Education, 48(4), 529-543. https://doi.org/10.1080/02602938.2022.2089627
Ramadani, S., & Sofa, A. R. (2025). Kejujuran dalam perspektif pendidikan Islam: Nilai fundamental, strategi implementasi, dan dampaknya terhadap pembentukan karakter santri di pesantren. Jurnal Manajemen dan Pendidikan Agama Islam, 3(1), 193-210.
Sholihah, N., Sofa, A. R., Bukhori, I., Aziz, A., & Islam, M. H. (2026). Implementasi Canva sebagai media evaluasi interaktif dalam pembelajaran Pendidikan Agama Islam di kelas II SD Unggulan Cahaya Cendekia Glagah Pakuniran Probolinggo. Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah, 10(2), 1154-1169.
Sofa, A. R., Harifah, N., Khofifah, N., Habibah, W., & Karimah, U. N. (2025). Pengembangan penilaian pembelajaran berbasis VEO di MAN 2 Probolinggo. JISPENDIORA: Jurnal Ilmu Sosial Pendidikan dan Humaniora, 4(2), 503-511.
TEQSA. (2023). Assessment reform for the age of artificial intelligence. Tertiary Education Quality and Standards Agency.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Wiggins, G. (1990). The case for authentic assessment. Practical Assessment, Research, and Evaluation, 2, Article 2. https://doi.org/10.7275/ffb1-mm19
Zhan, Y., Boud, D., & Dawson, P. (2025). Designing for authentic assessment: A scoping review. Higher Education. https://doi.org/10.1007/s10734-025-01588-9
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ahmad Zaini Al Ma'rufi, Ainur Rofiq Sofa, Muhammad Ichsan (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
