생명과학 학습에서 디지털 콘텐츠의 유형에 따라 생성된 과학적 의문의 분석

Analysis of Scientific Questions Generated by Types of Digital Contents in Learning Biology

In previous studies on smart education with digital contents, they have been focused on the result of learning, such as problem solving ability, creativity ability, self-regulated learning ability, and etc. By the way, there is not concern about the detailed study on the type of digital contents. So, this study analyzed the characteristics of question generated by the types digital contents during learning biology. The digital contents used in this study were movie, 3D and fixed image types with 6 topics on biology structure. Twenty college students generated scientific questions during their learning with the digital contents during 60 minutes. The scientific questions generated in each of three content types was analyzed by type, level, objectivity, diversity and quotient of questioning ability. The results show that conjectural questions were shown to have significantly higher frequencies in learning with the digital content type of fixed image. The 3D digital content were significantly shown more generation of predictive and subjective question then other content types. Frequency and diversit of quantitative question had significantly been higher in learning with the content type of movie. This study suggested that digital contents were more effective content type to improve students questioning ability then fixed image as traditional content type in textbook. It also suggested that the necessity of providing a smart type of digital contents for students diverse generating of question biology learning.