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 22, 2024, https://igi.indrastra.com/items/show/2093

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