Research Article

Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration

Volume: 10 Number: 1 January 3, 2025
EN

Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration

Abstract

This paper critically examines the transformative potential of Artificial Intelligence (AI) in Zimbabwe’s higher education system, focusing on how AI can enhance learning outcomes and optimize administrative processes. The study employs a qualitative research approach, gathering insights from key stakeholders in the educational sector to identify the strategic opportunities and challenges posed by AI adoption. Drawing from global examples, particularly in higher education, AI technologies such as intelligent tutoring systems, predictive analytics, and automated grading are discussed for their potential to personalize learning experiences, improve student retention, and streamline institutional management. The paper also delves into the ethical and resource-based constraints surrounding AI implementation, including data privacy concerns and financial limitations, which remain significant barriers in developing contexts like Zimbabwe. Recommendations are provided for strategic AI adoption, emphasizing the alignment with national education goals and Sustainable Development Goals (SDGs) to ensure that AI fosters inclusivity and equity in education. This analysis highlights the need for a comprehensive policy framework to support responsible AI integration, thereby positioning Zimbabwean institutions for future educational innovation.

Keywords

Artificial Intelligence (AI, Higher Education, AI Readiness, Zimbabwe

Ethical Statement

Ethics and Consent: Ethics committee approval for this study was received from the Ethics Committee of Stellenbosch University - (Date:05 January 2024, Number: CUR-2024-28106).

References

  1. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  2. Luckman, S. (2016). Virginia Braun and Victoria Clarke, Successful qualitative research: A practical guide for beginners. Feminism & Psychology, 26(3), 387–391. https://doi.org/10.1177/0959353515614115
  3. Carretero, S., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use. Publications Office of the European Union. https://doi.org/10.2760/38842
  4. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage.
  5. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
  6. Eyyam, R., & Yaratan, H. S. (2014). Impact of use of technology in mathematics lessons on student achievement and attitudes. Social Behaviour and Personality: An International Journal, 42(1), 31S-42S. https://doi.org/10.2224/sbp.2014.42.0.s31
  7. Valero-Pastor, J. M., García-Avilés, J. A., & Carvajal, M. (2021). Transformational leadership and innovation in digital-only news outlets. Analysis of Quartz and El Confidencial. Journalism Studies, 22(11), 1450–1468. https://doi.org/10.1080/1461670x.2021.1927153
  8. Greenhalgh, T., Robert, G., MacFarlane, F., Bate, P., & Kyriakidou, O. (2004). Diffusion of innovations in service organizations: Systematic review and recommendations. The Milbank Quarterly, 82(4), 581–629. https://doi.org/10.1111/j.0887-378x.2004.00325.x
  9. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Centre for Curriculum Redesign.
  10. Jantjies, M., & Joy, M. (2013). Mobile learning through indigenous languages: Learning through a constructivist approach. 12th World Conference on Mobile and Contextual Learning (mLearn 2013). http://dx.doi.org/10.5339/qproc.2013.mlearn.14
APA
Tarisayi, K., & Manhibi, R. (2025). Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration. Journal of Learning and Teaching in Digital Age, 10(1), 87-93. https://doi.org/10.53850/joltida.1493508
AMA
1.Tarisayi K, Manhibi R. Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration. JOLTIDA. 2025;10(1):87-93. doi:10.53850/joltida.1493508
Chicago
Tarisayi, Kudzayi, and Ronald Manhibi. 2025. “Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration”. Journal of Learning and Teaching in Digital Age 10 (1): 87-93. https://doi.org/10.53850/joltida.1493508.
EndNote
Tarisayi K, Manhibi R (January 1, 2025) Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration. Journal of Learning and Teaching in Digital Age 10 1 87–93.
IEEE
[1]K. Tarisayi and R. Manhibi, “Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration”, JOLTIDA, vol. 10, no. 1, pp. 87–93, Jan. 2025, doi: 10.53850/joltida.1493508.
ISNAD
Tarisayi, Kudzayi - Manhibi, Ronald. “Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration”. Journal of Learning and Teaching in Digital Age 10/1 (January 1, 2025): 87-93. https://doi.org/10.53850/joltida.1493508.
JAMA
1.Tarisayi K, Manhibi R. Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration. JOLTIDA. 2025;10:87–93.
MLA
Tarisayi, Kudzayi, and Ronald Manhibi. “Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration”. Journal of Learning and Teaching in Digital Age, vol. 10, no. 1, Jan. 2025, pp. 87-93, doi:10.53850/joltida.1493508.
Vancouver
1.Kudzayi Tarisayi, Ronald Manhibi. Revolutionizing Education in Zimbabwe: Stakeholder Perspectives on Strategic AI Integration. JOLTIDA. 2025 Jan. 1;10(1):87-93. doi:10.53850/joltida.1493508