Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application

This empirical study deploys a partial least squares structural equation modelling (PLS-SEM) to investigate the effects of Demographic factors such as gender, location and usage duration on Grade-12 mathematics learners’ receptiveness to Siyavula Educational Application (SEA), a learning managements...

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Main Authors: Ntuthuko Xulu, Joshua ABAH, Admire Chibisa, Anilkumar Krishnannair
Format: Article
Language:English
Published: Tanta University, Faculty of Education 2025-08-01
Series:International Journal of Instructional Technology and Educational Studies
Subjects:
Online Access:https://ijites.journals.ekb.eg/article_445818_d16dcc09bb00b59a7d5e41f61106d46e.pdf
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author Ntuthuko Xulu
Joshua ABAH
Admire Chibisa
Anilkumar Krishnannair
author_facet Ntuthuko Xulu
Joshua ABAH
Admire Chibisa
Anilkumar Krishnannair
author_sort Ntuthuko Xulu
collection DOAJ
description This empirical study deploys a partial least squares structural equation modelling (PLS-SEM) to investigate the effects of Demographic factors such as gender, location and usage duration on Grade-12 mathematics learners’ receptiveness to Siyavula Educational Application (SEA), a learning managements system (LMS) for basic schools in South Africa. The sample comprises 272 Learners in uMhlathuze circuit of King Cetshwayo District. Three of the sample schools are located in urban areas while the other three are located in rural areas. The study extended the Technology Acceptance Model (TAM) by conceptualizing perceived accessibility (PA), perceived social influence (PSI), perceived skill readiness (PSR) and computer self-efficiency (CSE), thereby developing a new integrated model (SEATAM) designed to understand the actual use of SEA by grade 12 Mathematics learners. Analysis of the results indicates that three pathways (Attitude Towards Technology effect on Actual Usage, Perceived Social Influence effect on Attitude Towards Technology, and Perceived Usefulness effect on Actual Usage) are affected by gender; two pathways (Attitude Towards Technology effect on Actual Usage, and Perceived Usefulness effect on Actual Usage) are affected by the residential location variable; and that hours spent has no significant effect on learners’ receptiveness to SEA. The implications of the findings were discussed with a recommendation for cogent LMS designs that can conveniently help rural students to be academically competitive with their urban counterparts. This study contributes further insights to the field of new technology usage, user acceptance research, LMS receptiveness, and information systems in its development of the SEATAM model.
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spelling doaj-art-361316d4d3a5437c9535a7c6cfc7b7ad2025-08-20T03:59:36ZengTanta University, Faculty of EducationInternational Journal of Instructional Technology and Educational Studies2682-39182682-39262025-08-016311610.21608/ihites.2025.404601.1255445818Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational ApplicationNtuthuko Xulu0Joshua ABAH1Admire Chibisa2Anilkumar Krishnannair3Department of Mathematics, Science and Technology Education, University of Zululand, South AfricaDepartment of Mathematics, Science and Technology Education, University of Zululand, South AfricaDepartment of Mathematics, Science and Technology Education, University of Zululand, South AfricaDepartment of Mathematics, Science and Technology Education, University of Zululand, South AfricaThis empirical study deploys a partial least squares structural equation modelling (PLS-SEM) to investigate the effects of Demographic factors such as gender, location and usage duration on Grade-12 mathematics learners’ receptiveness to Siyavula Educational Application (SEA), a learning managements system (LMS) for basic schools in South Africa. The sample comprises 272 Learners in uMhlathuze circuit of King Cetshwayo District. Three of the sample schools are located in urban areas while the other three are located in rural areas. The study extended the Technology Acceptance Model (TAM) by conceptualizing perceived accessibility (PA), perceived social influence (PSI), perceived skill readiness (PSR) and computer self-efficiency (CSE), thereby developing a new integrated model (SEATAM) designed to understand the actual use of SEA by grade 12 Mathematics learners. Analysis of the results indicates that three pathways (Attitude Towards Technology effect on Actual Usage, Perceived Social Influence effect on Attitude Towards Technology, and Perceived Usefulness effect on Actual Usage) are affected by gender; two pathways (Attitude Towards Technology effect on Actual Usage, and Perceived Usefulness effect on Actual Usage) are affected by the residential location variable; and that hours spent has no significant effect on learners’ receptiveness to SEA. The implications of the findings were discussed with a recommendation for cogent LMS designs that can conveniently help rural students to be academically competitive with their urban counterparts. This study contributes further insights to the field of new technology usage, user acceptance research, LMS receptiveness, and information systems in its development of the SEATAM model.https://ijites.journals.ekb.eg/article_445818_d16dcc09bb00b59a7d5e41f61106d46e.pdflearning management systemsiyavula educational applicationperceived accessibilityperceived social influenceperceived skill readiness
spellingShingle Ntuthuko Xulu
Joshua ABAH
Admire Chibisa
Anilkumar Krishnannair
Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
International Journal of Instructional Technology and Educational Studies
learning management system
siyavula educational application
perceived accessibility
perceived social influence
perceived skill readiness
title Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
title_full Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
title_fullStr Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
title_full_unstemmed Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
title_short Effects of Demographic Factors on Grade-12 Mathematics Learners’ Receptiveness to Siyavula Educational Application
title_sort effects of demographic factors on grade 12 mathematics learners receptiveness to siyavula educational application
topic learning management system
siyavula educational application
perceived accessibility
perceived social influence
perceived skill readiness
url https://ijites.journals.ekb.eg/article_445818_d16dcc09bb00b59a7d5e41f61106d46e.pdf
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