Multirepresentation Learning Models in the Digital Age to Improve Students' Conceptual Understanding

Abstract

This study analyzes the integrated multi-representation learning model based on digital technology to improve students' conceptual understanding. The main problem in this study is students' difficulty in understanding abstract and complex concepts. This is especially evident in science and mathematics education, where many concepts are abstract and difficult to visualize. Another problem in education is the gap between students' abilities, where some students may excel in verbal understanding, while others may excel in visual or mathematical understanding. This study aims to analyze the development of a multi-representation learning model in the digital era as an alternative effective learning model to improve students' conceptual understanding and higher-order thinking skills. Through a qualitative approach using a literature review method, this study analyzes various multi-representation learning models that have been developed and the integration of digital technology in their implementation. Data were obtained from a review of relevant journal articles related to the research topic conducted by previous researchers. The results of the study indicate that a multi-representation learning model integrated with digital technology can facilitate students' understanding of complex concepts through interactive verbal, visual, graphic, and mathematical representations. The application of this model has proven effective in improving students' multi-representation skills, problem solving, conceptual understanding, and creativity.