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Hau-Kashyap approach for student's level of expertise
Journal
Open Access
Date Issued
2019
Author(s)
Maseleno A.
Huda M.
Jasmi K.A.
Basiron B.
Mustari I.
Don A.G.
Ahmad R.B.
DOI
10.1016/j.eij.2018.04.001
Abstract
The recent reviews indicated learning expertise level could be enhanced with skills, creativity and preferences.
This stage should be taken at the first stage combined highly with providing the framework in
underlying the learning expertise. This paper attempts to propose the model of Hau-Kashyap used to
describe in yielding the robust results to measure the learning expertise level. This approach was selected
to give an insight with a more accurate by examining twelve items of questionnaire applied among the
students at tertiary level to explore the representation of wide range of knowledge and skills. The results
found that the stage level of belief that ranges combined from the level of expertise 1–12 was indicated
that Hau-Kashyap approach can be determined to measure the learners’ expertise more fairly and easily.
This method is supposed to contribute providing the purposeful rule in combining the learning expertise
constructed into a single and more informative hint with related concern of the measurement.
This stage should be taken at the first stage combined highly with providing the framework in
underlying the learning expertise. This paper attempts to propose the model of Hau-Kashyap used to
describe in yielding the robust results to measure the learning expertise level. This approach was selected
to give an insight with a more accurate by examining twelve items of questionnaire applied among the
students at tertiary level to explore the representation of wide range of knowledge and skills. The results
found that the stage level of belief that ranges combined from the level of expertise 1–12 was indicated
that Hau-Kashyap approach can be determined to measure the learners’ expertise more fairly and easily.
This method is supposed to contribute providing the purposeful rule in combining the learning expertise
constructed into a single and more informative hint with related concern of the measurement.
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