Open AccessDidactical design of Organic Light-Emitting Diodes based on the Nature of Science and Technology
Author(s) -
Rini Fath Marsya,
Ahmad Mudzakir,
Fitri Khoerunnisa
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/830/4/042055
Subject(s) - oled , anticipation (artificial intelligence) , computer science , relation (database) , value (mathematics) , nanotechnology , materials science , artificial intelligence , database , layer (electronics) , machine learning
Nature of science and technology (NOST) used to explain the phenomena of science and technology and to explore the relation of science, technology, and society. Organic light-emitting diodes (OLED) technology was one of the latest technologies that could be integrated into NOST aspects and could be used to improve the chemistry learning process. The purpose of this research was to develop the didactical design of OLED, including validity. The qualitative method was used in this study. The validation involved 5 experts (lecturers) as validators using a validation sheet that contain the relevancy of learning objectives, planned didactic situation, predictions of students’ responses, and the anticipation of educators. The validation analyzed using the content validity ratio (CVR) and the content validity index (CVI). The result showed that the didactical design of OLED obtained the CVR value of 1.00 and the CVI value of 1.00. Based on the results, it could be concluded that the didactical design of OLED was appropriate to be implemented in chemistry learning that integrated the chemical concepts with the latest technology.