초등 음악 교육에서 학습유형과 흥미유형에 따른 인공지능 기반 학습의 효과 분석 연구
Research on the Effects of AI-Based Learning depending on Learning style and Interest type in elementary Music education
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인공지능과 분석기술의 고도화로 교육 환경에서 개별학습자를 위한 맞춤형 수업의 설계와 적용 가능성이 대두되고 있으나 인공지능 맞춤형 교육 및 융합 교육은 일부 교과에서 한정적으로 이루어지며 직접적인 시도 역시 미약하다고 볼 수 있다. 본 연구에서는 초등학교 음악교육에서 인공지능 융합 프로그램을 설계하여 적용하고 학생들의 학습유형과 흥미유형에 따른 효과를 분석하였다. 프로그램 적용 결과, 인공지능 도구를 활용하여 학습한 집단은 자기특성 이해역량, 사회적 역량, 실천 역량, 의사결정 역량에서 보다 긍정적이고 통계적으로 유의미한 변화가 있었으며 이 결과는 학습자의 세부적인 학습유형 및 흥미유형에 따라 차이가 있었다. 학습자 맞춤형 수업을 위해 개별학습자의 세분화된 유형을 고려한다면 인공지능 융합 교육의 효과성과 더불어 미래 세대에게 필요한 역량의 효율적인 향상을 기대할 수 있을 것이다.
Abstract
With the advancement of artificial intelligence and analysis technology, the possibility of designing and applying customized classes for individual learners in the educational environment is emerging, but artificial intelligence customized education and convergence education are limited to some subjects, and direct attempts can also be considered weak. In this study, we designed and applied an artificial intelligence convergence program in elementary school music education and analyzed the effects according to students' learning and interest types. As a result of applying the program, the group that learned using artificial intelligence tools had more positive and statistically significant changes in self-characteristic understanding ability, social competency, practical competency, and decision-making competency, and these results were consistent with the learner's detailed learning type and interest type. There was a difference depending on. If we consider the detailed types of individual learners for learner-tailored classes, we can expect the effectiveness of artificial intelligence convergence education and efficient improvement of the capabilities required for future generations.
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