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The Impact of Online Technology on Increase of Learning Motivation of Information System Student During Covid-19 Pandemic

  • Jerald Glad
  • , Ardi Satyo Ramadhan
  • , Ikrar Gama Raditya
  • , Ford Lumban Gaol
  • , Tokuro Matsuo

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Student motivation to learn becomes the encouragement that comes from himself. This encouragement makes students able to perform the learning activities to increase their knowledge. However, during this pandemic, students are studied at home using video conferencing facilities which could affect students’ learning motivation. This is the motivation of this paper to analyze the learning motivation of junior high school students in Information Systems during Covid-19. This study aims to determine the student’s learning outcomes, one of which is the learning motivation. The method used in this research is a survey method, wherein the data is collected from a sample or respondents of a population to represent the entire population using a questionnaire or interview. After the data needed is collected, in the form of a questionnaire, the analysis is discussed to determine the learning motivation. Likert scale is used to assist in analyzing the data. Based on the analysis of the data that has been collected, it is observed that junior high school students majoring in Information Systems during Covid-19 have relatively strong learning motivation. They have the willingness to succeed, have a driving force and need to learn, have hopes and dreams for the future, have an appreciation for learning, have learning activities that are interesting, and have a conductive learning environment, which allow the students to perform well.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages715-728
Number of pages14
DOIs
Publication statusPublished - 2023
Externally publishedYes

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume171
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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