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딥러닝 기반 협력적 문제 해결력 예측 시스템 개발 연구: ICT 요인을 중심으로

A Study on Development of Collaborative Problem Solving Prediction System Based on Deep Learning: Focusing on ICT Factors

  • 투고 : 2018.02.06
  • 심사 : 2018.02.09
  • 발행 : 2018.02.28

초록

본 연구의 목적은 협력적 문제 해결력에 영향을 미치는 PISA(Programme for International Student Assessment) 2015의 ICT 요인을 바탕으로 학생들의 협력적 문제 해결력을 예측하는 시스템을 개발하는 데 있다. PISA 2015의 컴퓨터 기반 협력적 문제 해결력 평가에는 한국에서 5,581명이 참여하였다. 연구방법은 먼저 상관분석을 사용하여 유의미한 변수를 선정하였으며, 딥러닝을 사용하여 협력적 문제 해결력 예측 모델을 생성하였다. 모델 생성 결과 테스트 데이터 셋에 대해 약 95%의 정확도로 협력적 문제 해결력을 예측할 수 있었다. 이 모델을 바탕으로 협력적 문제 해결력 예측 시스템을 설계 및 구현하였으며, 해당 시스템을 사용하여 학습자의 ICT 관련 설문을 통해 협력적 문제 해결력을 예측할 수 있다. 본 연구는 교육에서 ICT 투입 및 사용에 대한 정책 결정에서 빅데이터와 인공지능을 적용할 수 있는 새로운 관점을 제공할 것으로 기대한다.

The purpose of this study is to develop a system for predicting students' collaborative problem solving ability based on the ICT factors of PISA 2015 that affect collaborative problem solving ability. The PISA 2015 computer-based collaborative problem-solving capability evaluation included 5,581 students in Korea. As a research method, correlation analysis was used to select meaningful variables. And the collaborative problem solving ability prediction model was created by using the deep learning method. As a result of the model generation, we were able to predict collaborative problem solving ability with about 95% accuracy for the test data set. Based on this model, a collaborative problem solving ability prediction system was designed and implemented. This research is expected to provide a new perspective on applying big data and artificial intelligence in decision making for ICT input and use in education.

키워드

참고문헌

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피인용 문헌

  1. 컴퓨터 기반의 협력적 문제해결력 성취를 예측하는 학생과 학교 및 ICT 요인 : 다층모형 분석을 중심으로 vol.22, pp.4, 2018, https://doi.org/10.14352/jkaie.2018.22.4.457
  2. A Study on Organizing Software Education of Special Education Curriculum for Students with Disability vol.28, pp.4, 2018, https://doi.org/10.21024/pnuedi.28.4.201812.441