디지털 시민성 교수학습모형을 적용한 중학교 과학수업이 디지털 시민성과 공감에 미치는 효과.

• Authors : 이준¹ ; 유숙경¹ ; 이윤옥²

Subjects: Digital learning; Middle school students; Middle schools

• Source: Journal of Digital Convergence. 2021, Vol. 19 Issue 12, p91-102. 12p.

• Abstract: This study explored the educational effects of the digital citizenship teaching and learning model on middle school ...

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온라인 소프트웨어교육에서 직장인의 지각된 유용성, 자기조절학습능력이 학습성과에 미치는 영향 -디지털 리터러시, 만족도의 직렬다중매개모형 분석중심.

• Authors : 이은영¹

Subjects: *Computer literacy; *Employer-supported education; Education software

• Source: Journal of Digital Convergence. 2022, Vol. 20 Issue 4, p83-92. 10p.

• Abstract: With the digital transformation of the entire industry, software competency has become the core competency for the future talent. However, it ...

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포스트 코로나 영어교육을 위한 방향과 과제.

• Authors : 김혜영¹,

• Source: English Teaching; 2021 Supplement, Vol. 76, p87-105, 19p

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LMS 기반 에듀테크 교수학습 플랫폼 모형 설계 연구.

• Authors : 윤승배¹ ; 양승혁² ; 박현순³

Subjects: *Learning Management System; Educational technology; Digital learningGoogle Inc. Google Inc. Google Inc. GOOG

• Source: Journal of Digital Convergence. 2021, Vol. 19 Issue 10, p29-38. 10p.

• Abstract: Purpose: This is a study to design an optimal Edutech teaching-learning platform model that can be linked with various types ...

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청소년 비행의 잠재집단 분류 및 머신러닝 알고리즘을 활용한 주요 예측 변인 검증.

• Authors : 이재윤¹ ; 박지수²

• Source: Korean Journal of Child Studies. Nov2022, Vol. 43 Issue 4, p499-510. 12p.

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MZ세대를 위한 유튜브 이러닝의 고도화 서비스 제안.

• Authors : 하재현¹ ; 김승인²

Subjects: Likert scale; Educational change; Reference sourcesGoogle Inc. Google Inc. Google Inc. GOOG

• Source: Journal of Digital Convergence. 2022, Vol. 20 Issue 1, p309-316. 8p.

• Abstract: This study is a study on the YouTube e-learning advanced service plan in the non-face-to-face era. The trends in education ...

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디지털 리터러시 함양을 위한 교수·학습 방법 연구.

• Authors : 이철승¹ ; 백혜진²

Subjects: *Industry 4.0; *Computer literacy; *Digital communications

• Source: Journal of Digital Convergence. 2022, Vol. 20 Issue 5, p351-356. 6p.

• Abstract: The era of the 4th industrial revolution is being built on the digital revolution. In order to understand and properly utilize ...

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비용함수와 파라미터를 이용한 효과적인 디지털 데이터 기계학습 방법론.

• Authors : 지상민¹ ; 박지은²

Subjects: *Artificial intelligence; *Artificial neural networks; Cost functions

• Source: Journal of Digital Convergence. 2021, Vol. 19 Issue 10, p253-263. 11p.

• Abstract: Machine learning is the process of constructing a cost function using learning data used for

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디지털융합 기반 마이크로러닝 특성 만족도 연구.

• Authors : 한태인¹

Subjects: *Millennials; *Technology; Mobile learning

• Source: Journal of Digital Convergence. 2020, Vol. 18 Issue 6, p287-295. 9p.

• Abstract: This study defined the characteristics of micro-learning emerging by mobile learning and micro-contents in the e-

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학습률(Step-Size)변화에 따른 디지털 신호의 기계학습 방법 개선.

• Authors : 지상민¹ ; 박지은²

Subjects: *Data structures; Machine learning; Maxima & minima

• Source: Journal of Digital Convergence. 2020, Vol. 18 Issue 2, p261-268. 8p.

• Abstract: Machine learning is achieved by making a cost function from a given digital signal data and optimizing ...

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