Computational thinking is thinking process that is needed in formulating problems and solutions, so that these solutions can be effective information processing agents in solving problems. Indicators of computational thinking consist of problem decomposition, algorithmic thinking, pattern recognition, abstraction and generalization. To improve higher-order thinking skills, we apply RBL learning integrated with STEM approach. To improve students’ thinking skills, it is necessary to develop tools that support the success of learning activities. The learning tools that have been developed meet the criteria of valid, practical, and effective. The validity scores obtained by each device are 3.5 for the face-to-face plan, 3.41 for the student worksheet, and 3.56 for the learning outcomes test. The observation result of the learning implementation score was 3.8 with a percentage of 95%. There were 23 students who completed or around 88,46%, percentage of average score of student activities was 94.17%, and as many as 94.47% of students gave a positive response.
Let [Formula: see text] be a simple graph and connected. A function [Formula: see text] is called vertex irregular [Formula: see text]-labeling and [Formula: see text] where [Formula: see text] The function of [Formula: see text] is called local irregular vertex coloring if every [Formula: see text] and [Formula: see text] vertex irregular labeling}. The local irregular chromatic number is denoted by [Formula: see text] In this paper, we study local irregular vertex coloring of [Formula: see text], and [Formula: see text]
The waste problem is still a global issue that significantly impacts environmental damage. One of the reasons for the high waste production rate is the need for more public awareness and concern for waste management. Creating an urgency for protecting waste education from an early age is crucial. In children's education, it is necessary to have supporting media so that the stimulation provided can be more optimal. The medium that is quite effective and also interesting for early childhood education is using songs. This study aims to analyze garbage educational songs as a learning media to build environmental care characters in early childhood. The research method used is development research which refers to the ADDIE model. One PAUD media, linguist, and music expert conducted song validation tests. The trial was conducted on 20 kindergarten students. Data were collected through interviews, recording, and filling out questionnaires. Data were analyzed using qualitative descriptive analysis techniques and quantitative descriptive statistics. The results of the study obtained a score of 92% on the PAUD media expert test, 80% on the language media expert test, 82% on the music expert test, 94% on the teacher assessment, and 90% assessment from students' parents. With these results, this song media is very good and appropriate for waste education media to be applied at school or home. This research implies that the developed garbage education songs are suitable as a learning media to build environmental care character.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.