RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기
    KCI등재

    AI 디지털교과서 활용 역량 강화를 위한 교사 연수 모델 개발 = Development of a Teacher Training Model for Enhancing AI Digital Textbook Utilization Competency

    한글로보기

    https://www.riss.kr/link?id=A109586878

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The advancement of artificial intelligence (AI) in education has led to the emergence of AI Digital Textbooks (AIDT), transforming teacher-student interactions by supporting personalized, self-directed, and collaborative learning. To effectively utilize AIDT, teachers require enhanced AI and digital literacy competencies. However, existing training programs lack a structured approach to integrating AI-based pedagogical strategies. This study develops a teacher training model that strengthens AIDT utilization by incorporating the TPACK framework, Cognitive Load Theory, and Learning Analytics. Additionally, the Forschendes Lernen (FL) approach is applied to foster inquiry-based learning, enabling teachers to explore and implement AI-driven teaching methods. The proposed model emphasizes hands-on AI teaching strategies, adaptive lesson design, and AI-assisted feedback mechanisms, overcoming the limitations of traditional training programs.
    This research provides a structured framework for AIDT-based teacher professional development and offers insights into AI integration in education. Future research should focus on empirical validation of the model’s effectiveness and continuous refinement to align with emerging AI technologies.
    번역하기

    The advancement of artificial intelligence (AI) in education has led to the emergence of AI Digital Textbooks (AIDT), transforming teacher-student interactions by supporting personalized, self-directed, and collaborative learning. To effectively utili...

    The advancement of artificial intelligence (AI) in education has led to the emergence of AI Digital Textbooks (AIDT), transforming teacher-student interactions by supporting personalized, self-directed, and collaborative learning. To effectively utilize AIDT, teachers require enhanced AI and digital literacy competencies. However, existing training programs lack a structured approach to integrating AI-based pedagogical strategies. This study develops a teacher training model that strengthens AIDT utilization by incorporating the TPACK framework, Cognitive Load Theory, and Learning Analytics. Additionally, the Forschendes Lernen (FL) approach is applied to foster inquiry-based learning, enabling teachers to explore and implement AI-driven teaching methods. The proposed model emphasizes hands-on AI teaching strategies, adaptive lesson design, and AI-assisted feedback mechanisms, overcoming the limitations of traditional training programs.
    This research provides a structured framework for AIDT-based teacher professional development and offers insights into AI integration in education. Future research should focus on empirical validation of the model’s effectiveness and continuous refinement to align with emerging AI technologies.

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼