PENGEMBANGAN AUTOMATIC FEEDBACK BERBASIS ARTIFICIAL INTELLIGENCE PADA ONLINE COURSE MATA PELAJARAN SEJARAH KELAS XI SMA NEGERI 2 BAJAWA

LIBERIUS SABINUS KOE, . (2025) PENGEMBANGAN AUTOMATIC FEEDBACK BERBASIS ARTIFICIAL INTELLIGENCE PADA ONLINE COURSE MATA PELAJARAN SEJARAH KELAS XI SMA NEGERI 2 BAJAWA. Magister thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini mengembangkan dan mengevaluasi automatic feedback berbasis kecerdasan buatan (AI) yang terintegrasi dalam kursus online pembelajaran sejarah kelas XI di SMA Negeri 2 Bajawa. Pengembangan menggunakan Google Cloud NLP serta OpenAI, untuk menganalisis teks dan memberikan umpan balik otomatis. Model yang digunakan adalah Integrated Learning Design Framework (ILDF), yang mencakup tahap eksplorasi, perwujudan, dan evaluasi dengan menggunakan data dari wawancara, observasi, kuesioner, dan uji efektivitas. Hasil menunjukkan automatic feedback mampu memberikan feedback instan yang mencakup beberapa aspek seperti; koreksi tata bahasa, relevansi jawaban, saran perbaikan dan sebagainya. Evaluasi formatif dengan para ahli, uji one to one dan small group menunjukkan bahwa automatic feedback layak digunakan. Uji efektivitas menunjukkan bahwa automatic feedback efektif dalam meningkatkan pemahaman siswa terhadap materi, serta mendorong refleksi atas jawaban mereka. Kesimpulannya, automatic feedback dapat menjadi alat yang efektif dalam mendukung pembelajaran sejarah secara daring, terutama dalam memberikan umpan balik yang cepat, objektif, dan bermanfaat bagi siswa maupun pengajar. ***** This study develops and evaluates an AI-based automatic feedback system integrated into an online history learning course for Grade XI students at SMA Negeri 2 Bajawa. The development utilizes Google Cloud NLP and OpenAI to analyze text and provide automatic feedback. The model employed is the Integrated Learning Design Framework (ILDF), which consists of exploration, enactment, and evaluation phases, utilizing data from interviews, observations, questionnaires, and effectiveness testing. The results indicate that the automatic feedback system can provide instant feedback, covering various aspects such as grammar correction, answer relevance, and improvement suggestions. Formative evaluations conducted with experts, one-to-one trials, and small group testing confirmed that the system is feasible for use in online learning environments. Effectiveness testing further demonstrated that the automatic feedback system significantly enhances students' comprehension of the material and encourages self-reflection on their responses. In conclusion, the automatic feedback system can serve as an effective tool for supporting online history learning, particularly in providing fast, objective, and constructive feedback that benefits both students and educators.

Item Type:	Thesis (Magister)
Additional Information:	1). Prof. Dr. Eveline Siregar, M.Pd. ; 2). Dr. Cecep Kustandi, M.Pd.
Subjects:	Teknologi dan Ilmu Terapan > Teknologi (umum) > Teknologi Pendidikan
Divisions:	FIP > S2 Teknologi Pendidikan
Depositing User:	Users 26457 not found.
Date Deposited:	19 Feb 2025 01:40
Last Modified:	19 Feb 2025 01:40
URI:	http://repository.unj.ac.id/id/eprint/53082

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