The Study of the Factors and Development of Educational Model: The Relationship between the Learner Context and the Curriculum Context in Higher Education
DOI:
https://doi.org/10.3991/ijet.v14i21.11034Keywords:
Data Mining in Education, Educational Recommendation System, Learning Analytics Model, Student ModelAbstract
The objectives of this research were 1) to study the factors of the relationship between the learner context and the curriculum in higher education, 2) to construct of the model relationship between the learner context and the curriculum in higher education, and 3) to test the quality and accuracy after having the model and prototype application of the relationship between the learner context and the curriculum in higher education. Seven instruments were used in this research, including mean, standard deviation, percentages, decision tree, text mining, cross validation, and confusion matrix. The research findings are as follows; 1) The factors that are important to the learner’s continuing studying consist of two factors: education system, and interest in studying. 2) The results of the model performance showed that the model has a high level of accuracy (76.50%). 3) The result of the prototype test application by the user is also acceptable, with 68.98 percent accuracy from 1,109 testers. In the future, the researcher has the expectation to develop more accurate predictions.
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