The Relationship Pattern of Internet Usage Frequency, Generation Z Characteristics, and Teaching Method in the Millennium Era
Dublin Core
Title
The Relationship Pattern of Internet Usage Frequency, Generation Z Characteristics, and Teaching Method in the Millennium Era
Subject
correspondence analysis
generation z
internet
teaching method
Description
Generation Z students mount challenges to develop teaching methods in the millennium era due to their diverse characteristics from the previous generation as they are proficient in utilizing the internet, less attentive to each other and the environment, prefer immediate things regardless of all complex processes they shall go through. This study aims to seek the relationship pattern between Generation Z clusters, teaching methods, and internet usage frequency. This study involved 222 junior high school students in Jakarta. The two-step cluster, cross-tabulation, and correspondence analysis were used for data analysis. The method used is correspondence analysis. The findings indicated that internet usage frequency has a significant relationship with Generation Z clusters and teaching methods. The results concluded that students who use the internet less than five hours prefer the full tutorial method and group assignments, and those who use the internet more than five hours prefer tutorial and field assignments
Creator
Budiman, Thomas
Franky, Franky
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 18 (2021); pp. 178-185
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-09-20
Rights
Copyright (c) 2021 Thomas Budiman, Franky Franky
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article
Identifier
Citation
Thomas Budiman and Franky Franky, The Relationship Pattern of Internet Usage Frequency, Generation Z Characteristics, and Teaching Method in the Millennium Era, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 6, 2024, https://igi.indrastra.com/items/show/2093