Research Article
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Year 2025, Volume: 10 Issue: 2, 170 - 186, 02.07.2025
https://doi.org/10.53850/joltida.1573362

Abstract

References

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

Year 2025, Volume: 10 Issue: 2, 170 - 186, 02.07.2025
https://doi.org/10.53850/joltida.1573362

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.

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.

Supporting Institution

None

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.

References

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  • Ariel, R., Karpicke, J. D., Witherby, A. E., & Tauber, S. K. (2020). Do judgments of learning directly enhance learning of educational materials? Educational Psychology Review, 33(2), 693-712. https://doi.org/10.1007/s10648-020-09556-8
  • Arievitch, I. M. (2020). The vision of developmental teaching and learning and bloom's taxonomy of educational objectives. Learning, Culture and Social Interaction, 25, 100274. https://doi.org/10.1016/j.lcsi.2019.01.007
  • Atherton, P., Topham, L., & Khan, W. (2024). AI and student feedback. EDULEARN Proceedings, 1, 79-88. https://doi.org/10.21125/edulearn.2024.0042
  • Brynjolfsson E, Hui X, Liu M (2019) Does machine translation affect international trade? Evidence from a large digital platform. Management Science 65(12):5449–5460. https://doi.org/10.1287/mnsc.2019.3388
  • Bushe, B. (2019). The causes and impact of business failure among small to micro and medium enterprises in South Africa. Africa’s Public Service Delivery and Performance Review, 7(1). https://doi.org/10.4102/apsdpr.v7i1.210
  • Canhoto, A. I., & Clear, F. (2019b). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183–193. https://doi.org/10.1016/j.bushor.2019.11.003
  • Chen, S. Y., & Wang, J. (2020). Individual differences and personalized learning: a review and appraisal. Universal Access in the Information Society, 20(4), 833–849. https://doi.org/10.1007/s10209-020-00753-4
  • Corrigan, P. (1986). Book review: Literary theory: An introduction, by Terry Eagleton. Minneapolis: University of Minnesota press, 1983. Insurgent Sociologist, 13(4), 75-77. https://doi.org/10.1177/089692058601300410
  • Cole, R., Purao, S., Rossi, M., & Sein, M. (2005). Being proactive: where action research meets design research. ICIS 2005 proceedings, 27. http://aisel.aisnet.org/icis2005/27
  • Dale, J., & Hyslop-Margison, E. J. (2010). Pedagogy of humanism. Explorations of Educational Purpose, 71-104. https://doi.org/10.1007/978-90-481-9100-0_3
  • Dishman, E. (2003). Designing for the new old: Asking, observing and performing future elders. Design research: Methods and perspectives, 41-48. Massachusetts: The MIT Press.
  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A.,
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  • Eagleton, T. (2011). Literary theory: An introduction. John Wiley & Sons.
  • Epstein, Z., Hertzmann, A., Investigators of Human Creativity, Akten, M., Farid, H., Fjeld, J., ... & Smith, A. (2023). Art and the science of generative AI. Science, 380(6650), 1110-1111. DOI: 10.1126/science.adh4451
  • Fariani, R. I., Junus, K., & Santoso, H. B. (2022). A Systematic Literature Review on Personalised Learning in the Higher Education Context. Technology Knowledge and Learning, 28(2), 449–476. https://doi.org/10.1007/s10758-022-09628-4
  • Feuerriegel, S., Hartmann, J., Janiesch, C. et al. Generative AI. Business & Information Systems Engineering 66, 111–126 (2024). https://doi.org/10.1007/s12599-023-00834-7
  • Goldkuhl, G. (2013). The IT artefact: An ensemble of the social and the technical. Systems, Signs & Actions: An International Journal on Information Technology, Action, Communication and Workpractices, 7(1), 90-99
  • Goodyear, P. (2005). Educational design and networked learning: Patterns, pattern languages and design practice. Australasian Journal of Educational Technology, 21(1). https://doi.org/10.14742/ajet.1344
  • Graf, S., Liu, T., Kinshuk, Chen, N., & Yang, S. J. (2009). Learning styles and cognitive traits – Their relationship and its benefits in web-based educational systems. Computers in Human Behavior, 25(6), 1280-1289. https://doi.org/10.1016/j.chb.2009.06.005
  • Gregor, S. & Hevner, A. R. (2013). Positioning and presenting design science research for maximum impact. MIS Quarterly, 37(2): 337-355. http://www.jstor.org/stable/43825912
  • He, L., Mavrikis, M., & Cukurova, M. (2024). Designing and evaluating generative AI-based voice-interaction agents for improving L2 learners’ oral communication competence. Communications in Computer and Information Science, 327-333. https://doi.org/10.1007/978-3-031-64312-5_39
  • Hevner, March, Park, & Ram. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75. https://doi.org/10.2307/25148625
  • Hanushek, E. A., Schwerdt, G., Wiederhold, S., & Woessmann, L. (2015). Returns to skills around the world: Evidence from PIAAC. European Economic Review, 73, 103-130. https://doi.org/10.1016/j.euroecorev.2014.10.006
  • Iqbal, M., Sarwar, S., Safyan, M., & Nasralla, M. (2024). Personalized and adaptive E-learning systems for Semantic Web: A systematic review and roadmap. International Journal of Web Information Systems. https://doi.org/10.1108/ijwis-01-2024-0026
  • Johannesson, P., & Perjons, E. (2014). An introduction to design science (Vol. 10, pp. 978-3). Cham: Springer. https://doi.org/10.1007/978-3-319-10632-8
  • Kashive, N., & Mohite, S. (2022). Use of gamification to enhance the E-learning experience. Interactive Technology and Smart Education, 20(4), 554-575. https://doi.org/10.1108/itse-05-2022-0058
  • Kaluarachchi, T., Reis, A., & Nanayakkara, S. (2021). A review of recent deep learning approaches in human- centered machine learning. Sensors, 21(7), 2514. https://doi.org/10.3390/s21072514
  • Kergel, D., & Heidkamp, B. (2017). The Digital Turn in Higher Education Towards a Remix Culture and Collaborative Authorship. In Springer eBooks (pp. 15–22). https://doi.org/10.1007/978-3-658-19925-8_2
  • Kuechler, W., & Vaishnavi, V. (2008). The emergence of design research in information systems in North America. Journal of Design Research, 7(1), 1-16. https://doi.org/10.1504/JDR.2008.019897
  • Laugwitz, B., Held, T. and Schrepp, M., (2008). Construction and evaluation of a user experience questionnaire. In HCI and Usability for Education and Work: 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008. Proceedings 4 (pp. 63-76). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_6
  • Law, E. L., Roto, V., Hassenzahl, M., Vermeeren, A. P., & Kort, J. (2009). Understanding, scoping and defining user experience. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1518701.1518813
  • Lee, H.S. and Lee, J. (2021). "Applying artificial intelligence in physical education and future perspectives", Sustainability, Vol. 13 No. 1, p. 351, https://doi.org/10.3390/su13010351
  • Lee, D., Huh, Y., Lin, C. Y., Reigeluth, C. M., & Lee, E. (2021). Differences in personalized learning practice and technology use in high-and low-performing learner-centered schools in the United States. Educational Technology Research and Development, 69, 1221-1245. https://doi.org/10.1007/s11423-021-09937-y
  • Limone, P., & Toto, G. A. (2021). Psychological and emotional effects of digital technology on children in COVID-19 pandemic. Brain Sciences, 11(9), 1126. https://doi.org/10.3390/brainsci11091126
  • McLaren, B. M., & Nguyen, H. A. (2023). Digital learning games in artificial intelligence in education (AIED): A review. Handbook of Artificial Intelligence in Education, 440-484. https://doi.org/10.4337/9781800375413.00032
  • Mensah, J. T. (2024). Jobs! Electricity shortages and unemployment in Africa. Journal of Development Economics, 167, 103231. https://doi.org/10.1016/j.jdeveco.2023.103231
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Details

Primary Language English
Subjects Artificial Intelligence (Other)
Journal Section Research Article
Authors

Phetogo Susan Mangole 0009-0006-7080-708X

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

Publication Date July 2, 2025
Submission Date November 12, 2024
Acceptance Date March 9, 2025
Published in Issue Year 2025 Volume: 10 Issue: 2

Cite

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

Journal of Learning and Teaching in Digital Age 2023. This is an Open Access journal distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 19195

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