■ 학력
한양대학교 사범대학 교육공학과 박사 (교수설계 및 이러닝)
■ 경력
(현) 한양대학교 사범대학 교육공학과 조교수
(현) 한양대학교 공과대학 컴퓨터소프트웨어학부 조교수(Joint
Appointment)
(전) 단국대학교 자유교양대학 코딩교과 조교수
■ 관심연구분야
교수설계, 이러닝, 컴퓨터 기반 협력학습(CSCL), SW교육, AI리터러시
■ 주요연구실적
Shin, Y., Song, D. (In press). The effects of self-regulated
learning support on learners’ task performance and cognitive load in
computer programming.
Journal of Educational Computing Research.
Shin, Y., Kim, D., & Song, D. (2020). Types and timing of
scaffolding to promote meaningful peer interaction and increase learning
performance in computer-supported collaborative learning environments.
Journal of Educational Computing Research, 58(3), 640-661.
Shin, Y., & Jung, J. (2020). The effects of a visible-annotation
tool for sequential knowledge construction on discourse patterns and
collaborative outcomes.
Australasian Journal of Educational Technology, 36(4), 57-71.
Jung, J., Shin, Y.*, & Zumbach, J. (2019). The effects of
pre-training types on cognitive load, collaborative knowledge construction
and deep learning in a computer-supported collaborative learning
environment. Interactive Learning Environments, 1-13. *Corresponding
author.
Jung, H., Kim, Y., Lee, H., & Shin, Y. (2019). Advanced
instructional design for successive E-learning: Based on the successive
approximation model (SAM).
International Journal on E-learning, 18(2), 191-204.
Shin, Y., Kim, D., & Jung, J. (2018). The effects of representation
tool (visible-annotation) types to support knowledge building in
computer-supported collaborative learning.
Journal of Educational Technology & Society, 21(2), 98-110.
Song, D., Shin, Y., & Hong, H. (In press). Learning Analytics as an
integrated approach in mixed methods research. In J. Hitchcock & A.
Onwuegbuzie (Eds.),
Routledge Handbook for Advancing Integration in Mixed Methods Research. New York. NY: Routledge.
■ 기타
단국대학교 2019년 Best Teaching Award 수상 (강의평가 부문)
한국연구재단 Global Ph.D. Fellowship Program 선정 (‘컴퓨터 기반
협력학습(CSCL)에서 공유지식 형성을 지원하기 위한 스크립트 설계 및 개발’ 과제
수행)