Development of multiple representation learning model based on HOTS students in straight motion material

Abstract

This study aims to examine the validity and effectiveness of HOTS-based multiple representation learning models on straight-motion material. The method used is in the form of research and development with the ADDIE model. The study design used pre-experimental design in the way of one group pretest post-test design. The sampling technique is purposive sampling. Documents on learning development tools based on the KKNI SN -DIKTI, HOTS-based multiple representation model design, pretest/post-test straight-motion material sheets, and student response sheets for HOTS-based multiple representation learning models on straight-motion material was validated with each has the result of rcount (1) > rtable (0.999) with a significance level of 1%, meaning that all instruments can be said to be valid. The results of the validity of the instrument test for each item were declared valid with a total score of rcount (1) > rtable (0.707sig 5%; 0.834sig 1%). The reliability test results of the test instruments were declared reliable with alpha (0.839) > rtable (0.834). It was found that the HOTS-based multiple representation learning model on straight-motion material effectiveness was achieved as expected in this study, which were seen from the results of the comparison of scores obtained (507.5) with the predicted score (486) the results of effectiveness (1.04) > 1 with an average pretest result of 27.1 and post-test of 84.6. Student responses as reinforcement of the results of effectiveness show a percentage value of 93.3% with an excellent category. This research is expected to be a reference for research on other material.