ICoSMEE 2023
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

AUDIO-VISUAL MEDIA BASED ON CANVA TO SUPPORT ONLINE LEARNING IN SD 3 WERGU WETAN
Fina Fakhriyah, Siti Masfuah, Muhammad Malik Hakim

Primary Educational Teacher Department, Universitas Muria Kudus
Primary Educational Teacher Department, Universitas Muria Kudus
Department of Informatics, Diponegoro University, Central Java, Indonesia


Abstract

Learning during the Covid-19 pandemic requires special and more intense attention for an educator, especially variations in the use of learning technology. The purpose of this activity is to assist teachers in the development of learning media based on the Canva application. The stages of this activity include the initial analysis stage (field conditions), introduction to the Canva application, identification of materials, and product preparation. The data obtained were then analyzed descriptively qualitatively. The product that has been developed by SD 3 Wergu Wetan teacher is validated by an expert to see the suitability of the material content, level suitability, design completeness, media design feasibility, and attractiveness. Based on the results of expert validation, a score of 87.9 percent was obtained with a very suitable category for use. From the results of this validation, it is used as a basis by the teacher to then carry out the recording stages of learning with the help of this Canva application and upload it to the youtube platform as a means of explaining material to support online learning to students at SD 3 Wergu Wetan.

Keywords: Learning Technology- Learning Media, Canva

Topic: Technology in Education

Plain Format | Corresponding Author (Fina Fakhriyah)

Share Link

Share your abstract link to your social media or profile page

ICoSMEE 2023 - Conference Management System

Powered By Konfrenzi Ultimate 1.832M-Build6 © 2007-2024 All Rights Reserved