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All Journal Journal of Smart Technology and Engineering
Nicholas Rudy
Program Studi Teknik Informatika, Fakultas Teknologi dan Rekayasa Cerdas, Universitas Kristen Maranatha
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Pengembangan Sistem Evaluasi Adaptif Berbasis LLM dalam Smart Tutor Menggunakan Bloom’s Taxonomy Nicholas Rudy; Hapnes Toba
Journal of Smart Technology and Engineering Vol. 2 No. 2 (2026):
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jste.v2i2.13159

Abstract

This research aims to improve adaptive learning systems by developing a Smart Tutor platform enhanced with Large Language Models (LLMs). Traditional systems that rely on keyword matching or cosine similarity often fail to accurately assess student responses due to their lack of semantic understanding. To address this, we propose a semantic-based evaluation system using BERTScore and TF-IDF to analyze student answers more contextually.
Co-Authors Hapnes Toba