TY - GEN
T1 - Providing supplemental teaching materials in order based on the rough set theory
AU - Cheng, Kun Fa
AU - Chang, Alex
AU - Chang, Maiga
AU - Heh, Jia Sheng
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33749042640&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2005.228
DO - 10.1109/ICALT.2005.228
M3 - Published Conference contribution
AN - SCOPUS:33749042640
SN - 0769523382
SN - 9780769523385
T3 - Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
SP - 679
EP - 681
BT - Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
T2 - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
Y2 - 5 July 2005 through 8 July 2005
ER -