Chinese Journal of Science Education


Vol. 11 No. 4 , Pages 351 - 372 , 2003

A Research Model for the Study of Senior High School Students’ Multiple Intelligences (Article written in chinese)

Ying-Shao HSU & Shih-Yi LIN

Abstract

The study aims to build a model to investigate the factors that affect high school students’ multiple intelligence (MI) performances. The method of the case study was chosen for data collection and analysis. The selected case was a class including 42 students who were observed for a semester at a senior high school in Taipei, Taiwan. In order to map out or explain more fully, triangulation was used and a variety of data were analyzed such as documents, video-typing data, interview data and survey data. The model developed from the data analysis found four factors to influence students’ multiple intelligence performances: (1) the curriculum factor: the types of lessons affect students’ MI performances because the different lessons were designed for students to perform different categories of MI. (2) the predictive factor: the teacher’s rationale about science education and her MI preferences lead to students’ different MI performances. (3) the situation factor: student attributes and teaching environments influence students’ MI performances. (4) the process factor: the different interactions between the teacher and students lead to students’ different MI performances. The data also showed that the teacher characteristics in this case could lead the direction of curriculum design and the setting of teaching environment. Therefore, we add some new relations into this model: (1) Teacher characteristics in predictive factor influence the design of lesson plans in the curriculum factor and the teaching environment in the situation factor. (2) Feedback from the teacher and students helps to modify the design of lesson plans in the curriculum factor and to improve the teaching environment in the situation factor.

Keywords: multiple instruction; multiple intelligences; multiple assessment; earth sciences; case study

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