인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
The increasing importance of early prediction of student performance has led to research into machine learning models that can be used to assess student outcomes more accurately.This study focused on developing a predictive model based on machine learning algorithms to evaluate student performance and provide early intervention mechanisms. Create a new predictive model using machine learning algorithms to assess student performance and identify the key variables that influence success. The proposed model aims to serve as an early warning system to detect potential academic failures and suggest interventions. A questionnaire was developed to collect data from the students. Four machine learning algorithms, C5.0, CART, Support Vector Machine (SVM) and Random Forest, were used to analyze the data. The effectiveness of each algorithm was evaluated with a focus on performance accuracy. Among the four algorithms, Random Forest achieved the most consistent results in the cross-validation metrics. However, C5.0 provided higher accuracy on the test set and CART showed the highest training performance, indicating performance conflicts, which are analyzed in more detail in the Discussion section. Based on these findings, a new classification model is proposed that includes the most important variables that significantly influence student success. This model was developed to detect academic failure at an early stage and enable timely intervention. The proposed predictive model provides a valuable tool for early identification of at-risk students and can support formative assessments. By identifying students who are likely to fail, the model provides opportunities for interventions to improve their academic outcomes. It is expected to help educators respond more effectively to student needs, ensure equity in the classroom, and provide cost-effective solutions for education policymakers.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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