A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts

Phetogo Susan Mangole; Abejide Ade-ibijola

doi:10.53850/joltida.1573362

EN

A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts

Abstract

Globally, personalised learning platforms (PLPs) are increasing in significance and usage, making them today’s most preferred tools to offer tailored learning experiences. Artificial Intelligence (AI) has turned personalised learning into a powerful learning force, thus helping to catalyse the customization and adaptation of learning methods and content to maximize learning outcomes. This study aims to assess the role of PLPs in driving the skills development of small firms in South Africa. The design research science (DSR) method was used to guide the conceptualization, design, and evaluation of the Bus-Ad-Coach Personal Learning Platform (BA-PLP). The platform was developed with four aims in mind, i.e., (a) to champion the personalisation and adaptation of business education content and methodologies, (b) to drive the embedment of real-time feedback and self-assessment of learners, (c) to guarantee seamless access to business education, and (d) to make learning a captivating and rewarding experience. The prototype was evaluated to gauge its usability, functionality, and performance in a real-world context. Seventy-one (71) first-time prototype users took part in its evaluation using a structured tool. Out of the 426 responses collected from 71 users, 200 responses (46,9%) strongly approved of the platform's features and acknowledged its educational and informational effect, and 41% enormously appreciated the relevance of its educational content. The study found that recent endeavours to uniquely blend game mechanics, chatbots and AI-generated texts into the PLP mix can make the knowledge acquisition journey an extremely customised, reflective, and captivating experience. The findings of this study revealed that personalised learning platforms are an indispensable element in the training processes of small businesses.

Keywords

personalized learning, personalized learning platform, text generation, chatbots, gamification, business administration

Supporting Institution

None

Ethical Statement

The authors confirm and assure that this manuscript is their original work, which has not been previously published elsewhere. This research was conducted with an ethic of respect for the individual/person and independent knowledge following an ethical approval granted by the University of Johannesburg ethics committee.

Thanks

The authors would like to thank the University of Johannesburg -Johannesburg Business School and the software developers who gave inputs in the designing and testing of the Personalised Learning Platform.

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Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Authors

Phetogo Susan Mangole ^*
0009-0006-7080-708X
South Africa

Abejide Ade-ibijola This is me
0000-0001-9507-0455
South Africa

Publication Date

July 2, 2025

Submission Date

November 12, 2024

Acceptance Date

March 9, 2025

Published in Issue

Year 2025 Volume: 10 Number: 2

DOI

https://doi.org/10.53850/joltida.1573362

IZ

https://izlik.org/JA39DB45TK

APA

Mangole, P. S., & Ade-ibijola, A. (2025). A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts. Journal of Learning and Teaching in Digital Age, 10(2), 170-186. https://doi.org/10.53850/joltida.1573362

AMA

1.Mangole PS, Ade-ibijola A. A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts. JOLTIDA. 2025;10(2):170-186. doi:10.53850/joltida.1573362

Chicago

Mangole, Phetogo Susan, and Abejide Ade-ibijola. 2025. “A Personalised Learning Platform With Text Generation, Games, and Chatbots for Mastering Business Administration Concepts”. Journal of Learning and Teaching in Digital Age 10 (2): 170-86. https://doi.org/10.53850/joltida.1573362.

EndNote

Mangole PS, Ade-ibijola A (July 1, 2025) A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts. Journal of Learning and Teaching in Digital Age 10 2 170–186.

IEEE

[1]P. S. Mangole and A. Ade-ibijola, “A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts”, JOLTIDA, vol. 10, no. 2, pp. 170–186, July 2025, doi: 10.53850/joltida.1573362.

ISNAD

Mangole, Phetogo Susan - Ade-ibijola, Abejide. “A Personalised Learning Platform With Text Generation, Games, and Chatbots for Mastering Business Administration Concepts”. Journal of Learning and Teaching in Digital Age 10/2 (July 1, 2025): 170-186. https://doi.org/10.53850/joltida.1573362.

JAMA

1.Mangole PS, Ade-ibijola A. A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts. JOLTIDA. 2025;10:170–186.

MLA

Mangole, Phetogo Susan, and Abejide Ade-ibijola. “A Personalised Learning Platform With Text Generation, Games, and Chatbots for Mastering Business Administration Concepts”. Journal of Learning and Teaching in Digital Age, vol. 10, no. 2, July 2025, pp. 170-86, doi:10.53850/joltida.1573362.

Vancouver

1.Phetogo Susan Mangole, Abejide Ade-ibijola. A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts. JOLTIDA. 2025 Jul. 1;10(2):170-86. doi:10.53850/joltida.1573362

Journal of Learning and Teaching in Digital Age 2023. This is an Open Access journal distributed under the terms of the Creative Commons Attribution International 4.0 (CC BY 4.0) license.

Journal of Learning and Teaching in Digital Age. Open Access Journal, 2023. ISSN:2458-8350

Abstract

A Personalised Learning Platform with Text Generation, Games, and Chatbots for Mastering Business Administration Concepts

Abstract

Keywords

Supporting Institution

Ethical Statement

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Acceptance Date

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DOI

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