Open AccessDevelopment of distance learning devices based on the elicit, confront, identify, resolve, reinforce (ECIRR) model on Newton’s law material
Author(s) -
Vina Serevina,
N. A. Khaerunisa
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1876/1/012075
Subject(s) - globe , distance education , government (linguistics) , addie model , computer science , covid-19 , mathematics education , law , operations research , mathematics , psychology , political science , curriculum , medicine , linguistics , philosophy , disease , pathology , neuroscience , infectious disease (medical specialty)
The Outbreak COVID 19 that struck all parts of the country made the government implement several policies to stop the spread of the epidemic, including learning activities carried out at home with online systems or distance learning. This study aims to develop teaching materials based on the ECIRR learning model in distance learning which is being applied by all schools due to the pandemic that is sweeping across the globe. The learning model applied has five steps, namely Elicit, Confront, Identify, Resolve, Reinforce . This type of research is R n D (research and development) research with the ADDIE research model with five steps, namely analysis, design, development, implementation , and evaluation. In this study only at the stagefourth, namely implementation . The material in this study, namely Newton’s Law material held at SMKN 53 Jakarta. This is done because based on the results of the analysis of the needs of students at SMK 53 Jakarta, 53% of students feel they don’t understand Newton’s Law concept properly. The results of the study this, namely the results of the analysis of the validation of material experts obtained an average percentage of 81% in the very high category, the results of the analysis of learning experts obtained an average percentage of 83% with a very high category, the results of the analysis of the media expert obtained a percentage of 96% with a very high, the results of the teacher validation analysis obtained an average percentage of 84% with a very high category.