Development of an Intelligent, Student-Centered Process Evaluation System Based on Generative AI

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Authors: Haein Lee
Cited by: 0

Abstract

This study aims to develop SCPES, a generative AI–based student-centered process evaluation system designed to support the practical implementation of the 2022 revised Korean curriculum. SCPES automatically generates learning competency analysis, learning attitude descriptions, concept explanations, learning strategies, inquiry tasks, and constructed-response items with explanations based on selected subjects, units, achievement standards, achievement levels, and student information. The system’s core algorithms include achievement-standard semantic analysis, cognitive-demand analysis, student-level alignment, content generation, and quality verification. Application of SCPES to curriculum-based scenarios demonstrated that learning strategies, task difficulty, and inquiry activities were effectively differentiated according to student proficiency levels. These results suggest that SCPES can enhance personalized process evaluation and reduce teacher workload.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Educational Technology and Assessment

Publication details

Journal / source
Korean Institute of Smart Media
Volume
15
Issue
2
Pages
134–141
Publication date
27 February 2026
Language
EN