Leadership Strategies to Artificial Intelligence-Driven Entrepreneurship Education: Challenges, Opportunities and Best Practices for Students Self-Reliance in Rivers State

Main Article Content

Okwu Francis Bogbula, PhD
Soli Roger
Nwadike Ikechukwu Shedrack, PhD.

Abstract

The integration of Artificial Intelligence (AI) in entrepreneurship education holds transformative potential for fostering student self-reliance, particularly in higher institutions of Rivers State, Nigeria. As digital technologies evolve, educational leaders must adopt strategic approaches to harness AI-driven tools that can enhance entrepreneurship skills, promote innovation, and equip students with the necessary competencies to thrive in self-sufficient careers. This paper examines the challenges and opportunities in integrating AI into entrepreneurship education in Rivers State and proposes best practices for educational leaders to foster student self-reliance. Anchored in transformational leadership theory, the study emphasizes the need for visionary leadership to drive change and adapt to the demands of the digital economy, while addressing barriers such as infrastructure limitations, resistance to change, and inadequate expertise in AI applications. The implications of the research offer policy recommendations and curriculum development strategies to guide leaders in navigating the complexities of AI adoption in entrepreneurship education.

Article Details

Section

Articles

Author Biographies

Okwu Francis Bogbula, PhD

Department of Educational Management, Faculty of Education, Rivers State University, Nigeria

Soli Roger

Department of Educational Management, Faculty of Education, Rivers State University, Nigeria

Nwadike Ikechukwu Shedrack, PhD.

Institute of Education, Rivers State University, Nigeria.

How to Cite

Leadership Strategies to Artificial Intelligence-Driven Entrepreneurship Education: Challenges, Opportunities and Best Practices for Students Self-Reliance in Rivers State. (2025). International Journal of Educational Management, Rivers State University., 1(2), 305-312. https://ijedm.com/index.php/ijedm/article/view/61

Similar Articles

You may also start an advanced similarity search for this article.