A practical approach for constructing an adaptive tutoring model based on concept map

Author

Hung, Chun-Ling ; Hung, Ya-Wen

Author_Institution

Dept. of Ind. Educ. & Technol., Nat. Changhua Univ. of Educ., Changhua

fYear

2009

fDate

11-13 May 2009

Firstpage

298

Lastpage

303

Abstract

The study proposes a complete and practical adaptive tutoring learning model (ATM). ATM calculates every learners score of each concept and indicates his/her misconceptions. Then apply fuzzy association rule mining approach to find out all the prerequisite relationship between concepts and concepts, and to construct a concept map. Based on the constructed concept map and misconceptions, ATM determines his/her main learning barriers. Finally, for solving learning barriers, ATM will suggest the learner an adaptive learning material by analyzing the ratios of the concepts contained in each material.

Keywords

data mining; fuzzy set theory; intelligent tutoring systems; adaptive tutoring learning model; concept map; fuzzy association rule mining approach; intelligent tutoring system; learner score calculation; learning barrier diagnosis; Adaptive systems; Anthropometry; Association rules; Automatic testing; Data mining; Educational technology; Fuzzy set theory; Information technology; Learning systems; Virtual environment; adaptive suggestion; association rule; concept map; diagnosis of learning barrier;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Environments, Human-Computer Interfaces and Measurements Systems, 2009. VECIMS '09. IEEE International Conference on

Conference_Location

Hong Kong

ISSN

1944-9410

Print_ISBN

978-1-4244-3808-2

Electronic_ISBN

1944-9410

Type

conf

DOI

10.1109/VECIMS.2009.5068912

Filename

5068912