Abstract

Knowing the ability of students is something that is important to formulate exam questions correctly, namely questions with the appropriate level of difficulty. However, in general, exam questions are prepared with the assumption that students' abilities are the same, so the results obtained do not reflect the actual abilities of students. This study focuses on predicting the ability of grade 6 students in mathematics. The data was obtained from 400 exam questions with 8 materials done by 23 students. Students' ability categories are grouped into 3, namely high ability, medium ability, and low ability. The difficulty of the questions is grouped into difficult questions, medium questions, and easy questions based on the assessments of 5 different class teachers. Our research uses the linear regression method and successfully shows that there is a close relationship between students' abilities and the level of difficulty of the questions. The difficulty level of the questions contributed 63% to the students' abilities. The standard error of 0.04905 means that the regression model is the right model in determining students' abilities.

References

1. . U. L. Yuhana, R. G. Mangowal, S. Rochimah, E. M. Yuniarno, and M. H. Purnomo, “Predicting Math performance of children with special needs based on serious game,” 2017 IEEE 5th Int. Conf. Serious Games Appl. Heal. SeGAH 2017, 2017, doi: 10.1109/SeGAH.2017.7939276.
2. . A. Mohamed, W. Husain, and A. Rashid, “The Third Information Systems International Conference A Review on Predicting Student ’ s Performance using Data Mining Techniques,” Procedia - Procedia Comput. Sci., vol. 72, pp. 414–422, 2015, doi: 10.1016/j.procs.2015.12.157.
3. . C. Zhang and F. Wang, “Research on correlation analysis between test score and classroom attendance based on linear regression model,” ICIMA 2010 - 2010 2nd Int. Conf. Ind. Mechatronics Autom., vol. 1, pp. 545–548, 2010, doi: 10.1109/ICINDMA.2010.5538079.