DocumentCode :
2011355
Title :
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
Link To Document :
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