Learner Autonomy of Science Using 5E Learning Cycle

This aims to determine the effect of the 5E learning on student learning Autonomy. The research subjects are 84 PGSD students. 5E Learning applicants with the syntax of Engagement, Exploration, Exploration, Elaboration, and Evaluation were carried out in advanced science courses in the second semester. Research with the type of quasi experiment using questionnaires as a measure of student learning Autonomy. The results showed that the mean score of the control group and the experimental group had increased. The Mann-Whitney U test obtained a significance of 0.039 and the effect of the 5E learning showed a high category with score of N gain is 0.98. it can be concluded that the 5E learning affects student learner autonomy.

LEARNER AUTONOMY USING 5E LEARNING CYCLE

This resarch aims to determine the effect of the 5E learning cycle on learner autonomy. Research with the type of quasi experiment using questionnaires as a measure of learner autonomy. The research subjects are 84 PGSD students. 5E Learning Cycle applicants with the syntax of Engagement, Exploration, Exploration, Elaboration, and Evaluation were carried out in advanced science courses in the second semester.. The results showed that the mean pre-test score of the control group and the experimental group had increased. The Mann-Whitney U test obtained a significance of 0.039 and the effect of the 5E learning cycle showed a high category with score of N gain is 0.98. So that it can be concluded that the 5E learning cycle affects student learner autonomy.

Can the WRAT-4 Math Computation Subtest Predict Final Grade in College-Level Science

Seventy-one, freshman through senior undergraduate college students 28 males and 43 females, M age =22.34 yr., SD = 4.20 in 5 different science classes were administered the Wide Range Achievement Test Fourth Edition (WRAT-4) Math Computation Subtest. Predictive validity coefficients were calculated relative to the criterion of the final class grade. The validity coefficient for the pre-course WRAT score was statistically significant. The WRAT-4 Math subtest can be used by instructors to examine performance on specific items to judge the appropriateness of a student’s placement in either entry-level or advanced science courses. However, high school grades are also a good predictor of completing the college curriculum and should be used along with math computation skills scores. Also motivation to complete college level science courses and socioeconomic status may be covariates in predicting college science final grade and eventual graduation from college.