Gen-AI dan Masa Depan Asesmen: Menakar Peluang, Risiko, dan Kesiapan Evaluasi Pembelajaran di Era Kecerdasan Buatan Generatif
Kata Kunci:
Gen-AI, evaluasi pembelajaran, Validitas dan Reliabilitas, Integritas Akademik, Kesiapan KelembagaanAbstrak
Selama beberapa dekade, evaluasi pembelajaran dibangun di atas empat pilar, yakni validitas, reliabilitas, objektivitas, dan kepraktisan. Tetapi kemunculan Generative Artificial Intelligence (Gen-AI) sejak akhir 2022 mengguncang tatanan tersebut secara fundamental, sementara literatur belum memadai memetakan pengaruh perubahan ini terhadap kualitas pengukuran maupun kesiapan kelembagaan untuk meresponsnya, khususnya di Indonesia. Artikel ini bertujuan menyusun sintesis konseptual yang memetakan secara berimbang peluang, risiko, dan kesiapan kelembagaan pemanfaatan Gen-AI dalam evaluasi pembelajaran. Kajian ini disusun menggunakan pendekatan tinjauan literatur naratif dengan unsur sistematis yang mengadopsi sebagian prinsip pelaporan PRISMA 2020, dengan penelusuran dilakukan pada Google Scholar dan Scopus melalui tujuh kombinasi kata kunci berbahasa Inggris dan Indonesia. Proses penyaringan menghasilkan 17 artikel terindeks Scopus dan Sinta terbitan 2023 hingga 2026 dari 57 rekaman awal, yang kemudian dianalisis melalui sintesis tematik empat tahap. Hasil kajian menunjukkan bahwa Gen-AI membawa manfaat nyata, seperti mempercepat proses penilaian, mempersonalisasi soal sesuai kebutuhan mahasiswa, dan mempercepat pemberian umpan balik. Di sisi lain, teknologi ini juga membawa sejumlah risiko, mulai dari skor esai otomatis yang tidak stabil ketika tidak menggunakan rubrik yang jelas, bias penilaian terhadap peserta didik berlatar bahasa asing, kecenderungan Gen-AI memberi skor lebih tinggi dibanding penilai manusia, hingga munculnya bentuk baru pelanggaran akademik akibat penggunaan AI tanpa pengawasan. Dari sisi kesiapan, kebijakan, literasi AI para pendidik, dan tata kelola etis di Indonesia ternyata masih berada pada tahap awal dan berbeda-beda antarjenjang pendidikan. Artikel ini menyimpulkan bahwa hubungan antara penggunaan Gen-AI dan pelanggaran akademik tidak bersifat langsung, melainkan bergantung pada konteks penggunaannya, sehingga kebijakan asesmen ke depan perlu disusun berdasarkan bukti dan menempatkan Gen-AI sebagai alat bantu yang tetap berada di bawah pengawasan manusia.
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