ENHANCING STUDENT ACHIEVEMENT THROUGH TAILORED MATHEMATICS INSTRUCTION

Abstract

The transition from online learning to limited face-to-face learning requires innovation in learning to generate student motivation and learning outcomes. There has been a decline in terms of student intake as evidenced by the presence of symptoms of achievement of classical learning objectives below 65%, many individual and group assignments are still not completed. The aim of this research is to develop differentiated mathematics learning in order to improve student learning outcomes and to determine the quality of differentiated mathematics learning. This research is research into the development of differentiated mathematics learning with differentiation of material difficulty for Trigonometry material which in its development uses the ADDIE model. The data analysis technique used in this research is that for the analysis stage a diagnostic assessment is used, while at the implementation stage product validity data analysis is used by calculating the average score, data analysis is used to measure product practicality by calculating the average score and data analysis is used to measure effectiveness. learning. The results of product validity data analysis by two experts obtained a score of 3.825, including the very valid category. The results of product practicality data analysis for the trial class were 3,095 and for the research class were 3,165, both of which are included in the practical category. The results of product effectiveness data analysis, namely in the form of student learning test results for the trial class, obtained an average of 66.5 with an increase of  11.375 and for the research class an average of 69 with an increase of 12.375.