TY - JOUR
AU - Srikoon, Sanit
AU - Punsrigate Khonjaroen, Ketsaraphan
PY - 2020/04/16
Y2 - 2024/11/15
TI - The Investigation of Working Memory Imfluencing on Mathematics Achievement
JF - Journal of Arts Management
JA - JAM
VL - 4
IS - 1
SE - Research Articles
DO -
UR - https://so02.tci-thaijo.org/index.php/jam/article/view/240312
SP - 140-151
AB - <p>The purpose of this research was to investigate the working memory influencing mathematics achievement. Using research model to be quantitative research to present like description, to use conceptual based on Neuroscience to be theory basically, to prepare learning class for being research framework. Population were the secondary students in level mathayom 3 of Primary Educational Service Area 32, semester 2560 totally 10,292 students, sample group tatally 1,504 students. to select classify by dividing to be size of schools; small, medium, large and extra size; there were 2 tools were 1) using software like measuring abilities as constructivism with attention and memory to work a while. 2) Mathematics achievement Test to be examined by experts follow to criterion, analyze data by statistics basically, mean, standard deviation, relative Variation, minimum, maximum, and correlation coefficient. The Investigation of Working Memory Influencing on Mathematics by using Multiple Regression Analysis</p><p> The results of research were found that the memory during work could predict Mathematics achievement to be at 97 percentiles and there were forecasting by raw score and standard score. The sample to be 1,504 students in Grade 9. The tool includes (1) Cognitive Ability Test Software: Attention and Working Memory (2) Mathematics Achievement Test. Multiple linear regression analysis was used to analyze data.</p><p>The raw score equation</p><p> Y = 0.094 + 0.258 (BWMA) + 0.250 (SWMA) + 0.247 (UWMA) + 0.246 (IWMA)</p><p>The standard score equation</p><p> Y<sup>/</sup> = 0.291 (BWMA) + 0.331 (SWMA) + 0.297 (UWMA) + 0.289 (IWMA) </p><p><strong> </strong></p>
ER -