THE RELATIONSHIP BETWEEN COGNITIVE SELF-REGULATED LEARNING AND COMPUTER ARCHITECTURE ACHIEVEMENT

Authors

  • Zulkifli
  • Astuti Masdar

Keywords:

Cognitive, Quantitative, Independent, Significant, Achievements

Abstract

Education has a special role in improving the cognitive skills of students; to enhance and develop the student's cognitive is not enough if the only formal education alone but needed independent study.  The strategy with the independent study to enhance cognitive skills and learning achievements of students on courses of computer architectures can be measured by the correlation coefficient calculation technique is to know the positive and significant relationship between independent study and student learning outcomes. This quantitative study, data were taken as much as 24% of the student population of 112 computer engineering and informatics Courses in STT Payakumbuh by using the Purposive Sampling technique. The results of this research show that the independent study for students who take the courses of architecture or organization computer is at a high percentage of category 59.3%, with an average score of 75.2 of the now that earnings are on the score 66-80. Based on the calculation of the correlation coefficients obtained the value of 0.152. The correlation Coefficient value of the interval (0.00-0.19) with the very low category with the highest coefficient of determination of 8%, and based on the results of the test t, retrieved the value t-calculate of 1.478. On a significant level of 5% obtained grades t-table of 2.060, so t-calculate < 2,060 t-table then H0 is accepted and the H1 is rejected. This then there is a positive and significant relationship between independent study with cognitive learning achievements of students on architecture or organization computer courses.

Downloads

Published

2019-10-28

How to Cite

Zulkifli, & Astuti Masdar. (2019). THE RELATIONSHIP BETWEEN COGNITIVE SELF-REGULATED LEARNING AND COMPUTER ARCHITECTURE ACHIEVEMENT. GEOMATE Journal, 17(62), 119–124. Retrieved from https://geomatejournal.com/geomate/article/view/672