Articulate Storyline (AS) is a learning media creation software that presents materials with storylines. The presence of added characters makes the learning media more interactive and more immersed in the story presented. The use of characters is expected to appeal to students learning. The topic used in the learning media developed is Dynamic Fluid. The purpose of this research is to design a physics learning medium that implements Dynamic Fluid theories into a storyline using an Articulate Storyline. According to contextual learning theory, good learning is learning that is applicable to daily life. For further media development, researchers plan to raise the life of a plumber and associate it with Dynamic Fluid materials according to the High School Curriculum. The method used in this study is Research and Development (R&D). Media can be used via web and android. This study stated that the learning media developed is worth using with a validity value of 90.71% classified as very valid. The positive response of students to the media by 99.16%, which belongs to the category, is very good. The percentage of learning activities completed through the comprehension test was 84.4%, which falls into the category of very good. Dynamic fluid learning media based on the Articulate Storyline is suitable for use as a learning resource and as a learning companion for grade 11 high school students.
Currently, all Indonesian regions are experiencing a severe pandemic condition that affected all fields, including the education sector. The education system that is usually face-to-face has to turn online, which forces students with teaching staff to carry out the learning process from home. With online-based learning, teachers and students can take advantage of online learning-based platforms, like Google Classroom, to implement Self-Directed Learning (SDL), where there are adjustments to learning devices and material to be taught online and achieve the competencies to be trained. By using the preexperimental design method, the type of research used was one group pretest-posttest design. This article aims to apply Self-Directed Learning (SDL) in online-based high school physics learning on the subject of Newton's Law. The data analysis technique used is implementation of the learning process, normality test, paired t-test, and n-gain analysis. The application of Self-Directed Learning (SDL) is declared effective if the value on the final test (posttest) has a high value compared to the value of the initial test (pretest), as well as an increase in the results of the application of Self-Directed Learning (SDL) which is shown from the n-test. gain in the high category. In conclusion, the results of the application of Self-Directed Learning (SDL) can be done practically and are categorized as very good. The application of SDL is able to improve students' cognitive abilities in online-based physics learning for Newton's Law material.
This paper aims to analyse the research trend of erbium-doped tellurite glasses. To this aim, this paper applied bibliometric analysis. The comprehensive research document on the topic of erbium-doped tellurite glasses in the Scopus database is 695 documents. The result revealed that scientific publication on erbium-doped tellurite glasses has been increasing. China contributed the most documents on erbium-doped tellurite glasses. The visualization of the research trend on erbium-doped tellurite glasses assisted with VOSviewer software and resulted in four primary clusters: (1) the red cluster show the keywords about the synthesized and fabrication, (2) the blue cluster show the keywords about the characterization, (3) the green cluster show the user or the application of the glass with each characteristic of materials, (4) the yellow cluster show the way to analyse energy based on the parameters owned by erbium-doped tellurite glasses. The research findings are the networking of the keywords on the research of erbium doped tellurite glasses in all clusters. It means that this research is comprehend knowledge and need to be more investigate to further research.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.