International Electronic Journal of Mathematics Education

An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Tsubaki M, Ogawara W, Tanaka K. An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions. INT ELECT J MATH ED. 2020;15(3), em0584. https://doi.org/10.29333/iejme/7840
APA 6th edition
In-text citation: (Tsubaki et al., 2020)
Reference: Tsubaki, M., Ogawara, W., & Tanaka, K. (2020). An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions. International Electronic Journal of Mathematics Education, 15(3), em0584. https://doi.org/10.29333/iejme/7840
Chicago
In-text citation: (Tsubaki et al., 2020)
Reference: Tsubaki, Michiko, Wataru Ogawara, and Kenta Tanaka. "An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions". International Electronic Journal of Mathematics Education 2020 15 no. 3 (2020): em0584. https://doi.org/10.29333/iejme/7840
Harvard
In-text citation: (Tsubaki et al., 2020)
Reference: Tsubaki, M., Ogawara, W., and Tanaka, K. (2020). An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions. International Electronic Journal of Mathematics Education, 15(3), em0584. https://doi.org/10.29333/iejme/7840
MLA
In-text citation: (Tsubaki et al., 2020)
Reference: Tsubaki, Michiko et al. "An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions". International Electronic Journal of Mathematics Education, vol. 15, no. 3, 2020, em0584. https://doi.org/10.29333/iejme/7840
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Tsubaki M, Ogawara W, Tanaka K. An Analysis for the Qualitative Improvement of Education and Learning based on the Way of Learner Errors in Descriptive Questions. INT ELECT J MATH ED. 2020;15(3):em0584. https://doi.org/10.29333/iejme/7840

Abstract

This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners’ comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed and examined a method for extracting answer characteristics from the answers to the questions in probability and statistics as variables. Second, we proposed a method for obtaining answer characteristics to accurately describe learners’ comprehension of each problem and indicate learning and educational policies for learners to improve learning by using regression trees. In addition, the relationship between learners’ general ability and answer characteristics was visualized in an item characteristic chart to indicate the general comprehension of the learners. Further, the relationship between learners’ learning strategy and answer characteristics was structuralized using Bayesian network models, and effective learning strategies for both learners as a whole and individual learners were extracted and evaluated towards the qualitative improvement of their comprehension using probabilistic reasoning. Our findings showed that the effectiveness of a learning strategy varies with each concept treated in a given problem; with the degree of basical or applied answer characteristics, indicating that the required learning strategy varies according to a given learner’s stage of learning. Moreover, the improvement of hours studying dispersion for both mid-term and final examinations was revealed as effective for a wide range of subjects.

References

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.