The Effectiveness of Mobile Learning Based Android in Learning English Vocabularies

Dublin Core

Title

The Effectiveness of Mobile Learning Based Android in Learning English Vocabularies

Subject

Mobile learning
Students’ vocabulary
Android

Description

This study aims to determine the effectiveness of mobile learning based android in learning vocabulary at the seventh-grade students of SMP Batara Gowa. This type of research is pre-experimental. The research design used was pre-experimental design, namely one group pre-test post-test design. The populations in this study were all seventh-grade students of SMP Batara Gowa, and the sample was class VII.1 as the experimental class which was chosen by using purposive sampling. The results of the data analysis show that the mean score of post-test (70.55) was higher than the mean score of pre-test (34.65). The result of the t-test was 30.117 and t-table 2.093. It could be indicated that the null hypothesis (H0) was rejected and the alternative hypothesis (H1) was accepted. Based on the effectiveness criteria, generally using mobile learning based android was effective in learning vocabulary at the seventh-grade students of SMP Batara Gowa.

Creator

Wijaya, Iriany Kesuma
Bakri, Rina Asrini
Wutun, Antonius Ali
Fitriani, Fitriani
Mattoliang, Achsan Andi

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 226-235
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2019-12-18

Rights

Copyright (c) 2019 IRIANY KESUMA WIJAYA, Rina Asrini Bakri, Antonius Ali Wutun, Fitriani Fitriani, Achsan Andi Mattoliang

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Iriany Wijaya Kesuma et al., The Effectiveness of Mobile Learning Based Android in Learning English Vocabularies, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 25, 2024, https://igi.indrastra.com/items/show/1520

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