Providing supplemental teaching materials in order based on the rough set theory

Author

Cheng, Kun-Fa ; Chang, Maiga ; Maiga Chang ; Heh, Jia-Sheng

Author_Institution

Dept. of Inf. & Comput. Eng., Chung-Yuan Christian Univ., Taiwan

fYear

2005

fDate

5-8 July 2005

Firstpage

679

Lastpage

681

Abstract

Nowadays, problem-based learning (PBL for short) is a popular teaching strategy for teachers. In the PBL environment students can learn how to solve the real life problems by discussing with their teammates and developing their brainstorm map. How a teacher decides what kinds of teaching materials are appropriate to students according to their learning performance is an important issue. Therefore, this paper proposes a sequencing mechanism to provide the teacher recommendatory sequence of remedial teaching for each group. In this paper the rough set theory is used to discover the hidden data pattern in the tree-like concept map which is transformed from the brainstorm map constructed by the students.

Keywords

computer aided instruction; rough set theory; teaching; PBL environment; brainstorm map; hidden data pattern; learning performance; problem-based learning; remedial teaching; rough set theory; supplemental teaching material; teacher recommendatory sequence; tree-like concept map; Cognitive science; Education; Electronic learning; Materials science and technology; Pattern analysis; Set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on

Print_ISBN

0-7695-2338-2

Type

conf

DOI

10.1109/ICALT.2005.228

Filename

1508788