Research Article

Data Entry Performance Assessment of Pre-service Business Teachers in Nigeria

Volume: 8 Number: 2 December 29, 2025
EN

Data Entry Performance Assessment of Pre-service Business Teachers in Nigeria

Abstract

Data entry is a crucial computer skill frequently required of business graduates by employers, so assessing students' performance in this area while still under university tutelage is essential. This study aimed to assess the data entry performance of Pre-service Business Teachers (PBT) in Nigeria. An inferential-descriptive survey approach was adopted, involving all eighty-four 3rd-year students, comprising 35 Direct Entry (DE) and 49 Fresher Entry (FE) students. A guide for Quick Access Toolbar (QAT) retrieval and placement, along with Data Entry using the FORM icon, was downloaded, adapted, and used in two rounds of pretests and posttests. Among other findings, the study revealed that the peer tutoring approach implemented was effective. Both DE and FE students showed significant improvement in QAT retrieval and placement, as well as in using it for data entry with the FORM icon. The study recommends among others that a mixture of Class-Wide Peer Tutoring (CWPT) and Cross-Age Peer Tutoring (CPT) be introduced and utilized whenever flexibility, improved achievement levels, and compatibility are desired.

Keywords

Supporting Institution

Abubakar Tafawa Balewa University, Bauchi, Nigeria

Ethical Statement

I confirm that this work is original and has not been published, nor is it currently under consideration for publication elsewhere

Thanks

All the students that participates in the research.

References

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Details

Primary Language

English

Subjects

Learning Analytics

Journal Section

Research Article

Publication Date

December 29, 2025

Submission Date

September 10, 2025

Acceptance Date

November 21, 2025

Published in Issue

Year 2025 Volume: 8 Number: 2

APA
Mohammed Inuwa, B. (2025). Data Entry Performance Assessment of Pre-service Business Teachers in Nigeria. International Journal of Computers in Education, 8(2), 73-85. https://doi.org/10.64693/ijce.1781760