Analisis Kebutuhan Guru terhadap Asesmen Autentik PAUD Berbasis Artificial Intelligence dengan Pendekatan Human-in-the-Loop

Authors

  • Kulsum Nur Hayati UIN Sunan Kalijaga, Indonesia
  • Khamim Zarkasih Putro UIN Sunan Kalijaga Yogyakarta, Indonesia
  • Pria Dita Anis Wari UIN Sunan Kalijaga Yogyakarta, Indonesia

DOI:

https://doi.org/10.24256/tunascendekia.v10i1.12926

Keywords:

asesmen autentik, PAUD, artificial intelligence, human-in-the-loop, analisis kebutuhan

Abstract

Asesmen autentik dalam Pendidikan Anak Usia Dini (PAUD) menghasilkan beragam data perkembangan anak yang perlu diorganisasikan dan diinterpretasikan secara sistematis untuk mendukung penyusunan laporan perkembangan. Namun, pengelolaan data asesmen yang terkumpul selama satu semester dan penyusunan narasi perkembangan masih menjadi tantangan bagi guru. Penelitian ini bertujuan menganalisis kebutuhan guru dalam penerapan asesmen autentik berbasis Artificial Intelligence (AI) dengan pendekatan Human-in-the-Loop (HITL). Penelitian menggunakan pendekatan Research and Development (R&D) dengan model ADDIE yang dibatasi pada tahap Analysis. Data dikumpulkan melalui Focus Group Discussion (FGD) dengan melibatkan dua orang kepala sekolah dari dua satuan PAUD dan dianalisis secara kualitatif melalui kondensasi data, penyajian data, penarikan kesimpulan dan verifikasi, serta analisis lintas lokasi. Hasil penelitian mengidentifikasi dua kebutuhan utama, yaitu pengorganisasian data asesmen yang terkumpul selama satu semester dan penyusunan narasi perkembangan anak secara sistematis. Guru membutuhkan dukungan AI untuk mengelompokkan data dari catatan anekdot, hasil karya, dan dokumentasi berdasarkan topik, subtopik, dan aspek perkembangan, serta menghasilkan draf awal narasi perkembangan. Namun, guru tetap perlu memiliki kewenangan untuk memeriksa, menyunting, menyetujui, menolak, dan mengambil alih keluaran AI. Penelitian ini menghasilkan peta kebutuhan pengguna dan persyaratan awal sistem sebagai dasar perancangan asesmen autentik berbasis AI-HITL. Temuan ini menegaskan bahwa integrasi AI dalam asesmen PAUD perlu berorientasi pada dukungan pengolahan data dengan tetap mempertahankan guru sebagai pengambil keputusan profesional.

References

Anggereni, D. T. (2025). Pentingnya Asesmen Berbasis Perkembangan dalam Pendidikan Anak Usia Dini. 5(1).

Arslan, N., & Akar, H. (2026). Teachers’ Views on Workload: Effects and Expectations. International Journal of Progressive Studies in Education, 4(1). https://doi.org/10.5281/zenodo.21082164

Bittner, K., Highfield, K., & Thompson, N. (2026). Digital Technologies for Early Childhood Assessment and Evaluation: Emerging Implications in a GenAI World. AI, Brain and Child, 2. https://doi.org/10.1007/s44436-026-00032-8

Branch, R. M. (2009). Instructional Design: The ADDIE Approach. Springer. https://doi.org/10.1007/978-0-387-09506-6

Fadlilah, A. N. (2021). Hambatan Pelaksamaan Asesmen Informal dalam Pembelajaran PAUD. Cakrawala Dini: Jurnal Pendidikan Anak Usia Dini, 12(1), 62–72. https://doi.org/10.17509/cd.v12i1.28675

Harahap, U. M., Harefa, S., Sinambela, E. T., & Yus, A. (2026). Optimalisasi Asesmen Anekdot untuk Penilaian Autentik Perkembangan Anak Usia Dini. Jurnal Tematik, 15(1). https://doi.org/10.24114/jt.v15i1.69859

He, C., Huang, Y., Lan, H., He, J., Fan, X., Zhang, D., Lin, J., Liao, M., & Wang, C. (2026). AI-assisted assessment of higher education quality: A visual analytical approach. Visual Informatics, 10(3), 100306. https://doi.org/10.1016/j.visinf.2026.100306

Hidayat, W., & Andriani, A. (2020). Pelaksanaan Penilaian Autentik Guru Pendidikan Anak Usia Dini. Cakrawala Dini: Jurnal Pendidikan Anak Usia Dini, 11(2), 88–95. https://doi.org/10.17509/cd.v11i2.24922

Judijanto, L., Muhammadiah, M., & Utami, R. N. (2024). Metodologi Research and Development (Teori dan Penerapan Metodologi RnD). PT. Sonpedia Publishing Indonesia.

Knauf, H. (2020). Documentation Strategies: Pedagogical Documentation from the Perspective of Early Childhood Teachers in New Zealand and Germany. Early Childhood Education Journal, 48(1). https://doi.org/10.1007/s10643-019-00979-9

Krueger, R. A., & Casey, M. A. (2015). Focus Groups: A Practical Guide for Applied Research (5th edn). SAGE Publications.

Lee, S., & Han, J. (2026). Scaling Early Literacy Screening for Sustainable Education: A Cloud-Native Architecture Integrating Machine Learning and Human-in-the-Loop Validation. Sustainability, 18(10), 5142. https://doi.org/10.3390/su18105142

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education (Open Ideas No. 3). Pearson Education. https://www.pearson.com/corporate/about-pearson/what-we-do/innovation/smarter-digital-tools/intelligence-unleashed.html

Mastikawati, M., Baharun, H., Wahid, A. H., Solehatin, S., & Adawiyah, R. (2022). Strengthening Early Childhood Learning Outcomes through Authentic Assessment of Students. Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini, 6(5), 4547–4556. https://doi.org/10.31004/obsesi.v6i5.2525

Mi, Y. (2026). PreEduAI: A Multi-Agent Collaborative Framework for Automated Preschool Curriculum Development. IEEE Access, 14, 5255–5267. https://doi.org/10.1109/ACCESS.2025.3646282

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (Edition 3). Sage.

Mosqueira-Rey, E., Hernández-Pereira, E., Alonso-Ríos, D., Bobes-Bascarán, J., & Fernández-Leal, Á. (2023). Human-in-the-loop machine learning: A state of the art. Artificial Intelligence Review, 56(4), 3005–3054. https://doi.org/10.1007/s10462-022-10246-w

Nabilah, N., Karma, I. N., & Husniati, H. (2021). Identifikasi Kesulitan Guru dalam Melaksanakan Penilaian Autentik pada Kurikulum 2013 di SDN 50 Cakranegara. Jurnal Ilmiah Profesi Pendidikan, 6(4), 617–622. https://doi.org/10.29303/jipp.v6i4.298

National Association for the Education of Young Children. (2020). Developmentally Appropriate Practice. NAEYC. https://www.naeyc.org/sites/default/files/globally-shared/downloads/PDFs/resources/position-statements/dap-statement_0.pdf

Palmin, B., Anwar, M. R., & Ndeot, F. (2019). Analisis Kesulitan Guru TK dalam Mengimplementasikan Penilaian Autentik Kurikulum 2013 di Kecamatan Langke Rembong. Jurnal AUDI: Jurnal Ilmiah Kajian Ilmu Anak Dan Media Informasi PAUD, 4(2). https://doi.org/10.33061/jai.v4i2.3322

Romeo, G., & Conti, D. (2026). Exploring Automation Bias in Human–AI Collaboration: A Review and Implications for Explainable AI. AI & Society, 41. https://doi.org/10.1007/s00146-025-02422-7

Rosidah, Pramulia, P., & Susiloningsih, W. (2021). Analisis Kesiapan Guru Mengimplementasikan Asesmen Autentik dalam Kurikulum Merdeka Belajar. Jurnal Pendidikan Dasar, 12(01), 87–103. https://doi.org/10.21009/jpd.v12i01.21159

Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049

Tretow-Fish, T., & Møller, A. K. (2026). Generative AI in Student Project Reports: Preliminary insights on Patterns of Use and Documentation in Higher Education. Proceedings of the International Conference on Networked Learning, 15. https://doi.org/10.54337/nlc.v15.10869

Varier, D., & Yun, S. (2023). A review of research on assessment use: Implications for preparing early childhood educators for data-informed decision-making. Journal of Early Childhood Teacher Education, 44(4). https://doi.org/10.1080/10901027.2023.2257157

Wen, J. (2026). Implementing an AI-Assisted Teacher Observation System: A Case Study on Enhancing Preschool Education Quality in Mashan County. Journal of Cases on Information Technology, 28(1), 1–17. https://doi.org/10.4018/JCIT.400705

Wickens, C. D., Clegg, B. A., Vieane, A. Z., & Sebok, A. L. (2015). Complacency and Automation Bias in the Use of Imperfect Automation. Human Factors, 57(5). https://doi.org/:%2010.1177/0018720815581940

Wijayanti, T. D. (2021). Analisis Kesulitan Penilaian Autentik dalam Pembelajaran Daring PAUD selama Pandemi Covid-19. Jurnal Satya Widya, 37. https://doi.org/10.24246/j.sw.2021.v37.i2.p101-115

Wong, J. M. S. (2026). Designing Trustworthy AI for the Youngest Learners: An Integrated Ethical Framework and Implementation Roadmap. Early Childhood Education Journal, 54(5), 3827–3837. https://doi.org/10.1007/s10643-026-02138-3

Yang, W., Li, H., & Lee, J. C.-K. (2025). Tailoring AI agents for early learning: The Creative Project Approach. Computers and Education: Artificial Intelligence, 9, 100473. https://doi.org/10.1016/j.caeai.2025.100473

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Published

2026-10-25

How to Cite

Kulsum Nur Hayati, Khamim Zarkasih Putro, & Anis Wari, P. D. (2026). Analisis Kebutuhan Guru terhadap Asesmen Autentik PAUD Berbasis Artificial Intelligence dengan Pendekatan Human-in-the-Loop. Tunas Cendekia : Jurnal Program Studi Pendidikan Anak Usia Dini, 10(1), 26–38. https://doi.org/10.24256/tunascendekia.v10i1.12926

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