math application
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2020 ◽  
pp. 073428292095014
Author(s):  
Giancarlo A. Anselmo ◽  
Jamie L. Yarbrough ◽  
Van Vi N. Tran

This study analyzed the relationship between benchmark scores from the newly published Dynamic Indicators of Basic Early Literacy Skills Math (i.e., Acadience™) math probes and student performance on math and reading sections of a state-mandated high-stakes test. Participants were 420 students enrolled in third, fourth, and fifth grades in a rural southeastern school district. Specific to this study was the calculation of the predictive validity of benchmark scores obtained in the spring from curriculum-based measurement probes measuring math computation, math application skills, and reading ability. Results of the study suggest that math application probes have strong predictive validity. The study also provides evidence that even at early grades the skill of reading is associated with performance on a high-stakes math test. The study provides some evidence that calculation skills are needed, but do not account for as much of the variance as reading ability does in grades as low as third grade. Implications for practice are discussed as it relates to multiple gating screening procedures at the elementary level.


2019 ◽  
Vol 2 (1) ◽  
pp. 25-36
Author(s):  
Heny Sri Astutik ◽  
Putri Aniningsih

This study was conducted aimed at testing the effectiveness of the Problem Based Learning (PBL) learning model. The subjects of this study were eighth grade students of Muhammadiyah Middle School Aimas, Sorong Regency. The research method used was quasi-experimental. Data collection techniques in this study were observation, tests and questionnaires. The test instrument consisted of learning outcomes tests and students' logical thinking abilities. Questionnaires here contain questionnaires for students' responses to PBL learning using the VR Math application. The results of the study concluded that the experimental class had been given a Problem Based Learning (PBL) model using the VR Math application. The results of the sample obtained the highest learning outcomes scores of learning outcomes 72 and low 56, and the highest logical thinking ability 12 and low scores. 6. The values obtained were analyzed using one mathematical software obtained (1) the significance of 0.447 <0.05 and t count <t table (-0.777 <1.740) so that H0 is accepted and Ha is rejected so PBL learning models using VR Math applications are not effectively reviewed from student learning outcomes. (2) the results of the effectiveness tests of logical thinking abilities obtained a significance of 0,000 <0,05 and t count <t table (-9,160 <1,740) so that the PBL learning model uses the VR Math application effectively in terms of students' logical thinking abilities (3) test significance results Trace Hotteling is obtained sig. 0,000 <0,05 so that the PBL learning model uses the VR Math application effectively in terms of learning outcomes and students' logical thinking abilities.


2001 ◽  
Vol 94 (4) ◽  
pp. 278-286
Author(s):  
James Metz

Compound interest is very much a part of the life of every student. Albert Einstein once called the compound interest formula the most important formula in mathematics. Unfortunately, many students never see the formula unless they take enough mathematics to encounter it in their study of exponential functions. Even then, they may experience it only algebraically, not graphically. Its predecessor, the simple interest formula, is usually studied in isolation, often in a “consumer math” application as an exercise in arithmetic or perhaps in algebra. Few students realize that the simple interest formula can be modeled with the graph of a linear equation when the principal and interest rate are held constant. In a similar way, the compound interest formula can be modeled graphically as an exponential curve. Any student who can make tables and plot points can graph the future value of an account using simple and compound interest and can thereby come to appreciate the meaning of the variables in each formula and how those variables contribute to the growth of an account.


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