Learning Management System supported smartphone (LMS3): Online learning application in Physics for school course to enhance digital literacy of preservice Physics teacher

Rahmat Rizal, Dadi Rusdiana, Wawan Setiawan, Parsaoran Siahaan


The research aimed to describe the development process of online learning application in physics for school course using the ADDIE model. This application is called Learning Management System Supported Smartphone (LMS3). LMS3 can facilitate preservice physics teacher to enhance digital literacy. The authors analyzed need assessment based on learning objectives, designed LMS3 in the form of a flow chart system and storyboard, produced LMS3 through professional programmers, filled in LMS3 content and conducted expert validation, implemented LMS3 in physics for school course, and evaluated LMS3 during implementation. This research is a descriptive study involving media and pedagogical experts as well as 40 preservice physics teachers in Tasikmalaya. Data collection techniques were carried out by the study of literature, the expert validation, and preservice physics teacher perception questionnaires. Expert validation and preservice physics teacher perception were obtained by using a Likert scale. The validation results from the experts were processed using the validation value equation developed by Aiken. The results of the expert validation show that the validation value is 1 and met the minimum validation requirements of the application. Perception of preservice physics teacher showed positive response to LMS3. The LMS3 has good display, function, and good effect on their learning motivation and digital literacy.


Learning Management System, online learning, Physics for school, digital literacy

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DOI: http://dx.doi.org/10.3926/jotse.1049

Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Technology and Science Education, 2011-2023

Online ISSN: 2013-6374; Print ISSN: 2014-5349; DL: B-2000-2012

Publisher: OmniaScience