ESL University Students’ Attitudes Towards Using WhatsApp in Academic Writing

ESL University Students’ Attitudes Towards Using WhatsApp in Academic Writing

Joel M. Magogwe

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Olumide Jaiyeoba

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ESL University Students’ Attitudes Towards Using WhatsApp in Academic Writing

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Abstract

This study examined the relationship between behavioural intention and the Technology Acceptance Model (TAM) variables: Perceived usefulness, ease of use and attitudes towards WhatsApp tool in teaching and learning academic writing skills in Botswana. This study accurately hypothesized a positive and significant relationship between behavioural intention to use WhatsApp in academic writing and dimensions of usefulness, and extent of use of WhatsApp. However, there was no significant relationship between ease of use and behavioural intention (0.436); and perceived web based privacy (0.878). 120 questionnaires were distributed with a response rate of 85%. 70 questionnaires were administered at the University of Botswana and 50 at Botho University also in Botswana. The questionnaire consisted of a 5-Point Likert Scale. The data were subjected to validity and reliability in order to explicate the psychometric competence of the scale items in the Botswana context. Correlation and regression analysis established the association and relationship of the hypothesized sub-constructs in this study. Simple random probability sampling technique was adopted in this empirical study. Scale items were adapted from Davis’s (1989) TAM model.

References

18 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Joel M. Magogwe. 2019. \u201cESL University Students’ Attitudes Towards Using WhatsApp in Academic Writing\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G1).

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GJCST Volume 19 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-G Classification F.2.2

Submission ReceivedDecember 10, 2018
Peer Review Double Blind
Handling Editor
Accepted January 4, 2019
Published January 15, 2019

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v1.2

Issue date

May 7, 2019

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Article Matrices

Total Score: 102

Country: Botswana

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: Joel M. Magogwe, Olumide Jaiyeoba (PhD/Dr. count: 0)

View Count (all-time): 299

Total Views (Real + Logic): 5250

Total Downloads (simulated): 1449

Publish Date: 2019 05, Tue

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Total Views: 5250

Total Downloads: 1449

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