ENHANCING ARTIFICIAL INTELLIGENCE AND ROBOTICS REVOLUTIONS IN NIGERIAN EDUCATION: COUNSELLING PERSPECTIVES AND IMPLICATIONS
The ongoing integration of Artificial Intelligence (AI) and robotics into Nigerian educational system heralds transformative opportunities for teaching, learning, and student support services. From AI-driven chatbots to predictive analytics and virtual counselling platforms, these technologies promise to bridge the gaps in counsellor students and improve academic, career, and social-emotional support for students. They explore the potential benefits and implications of integrating Artificial Intelligence (AI) and robotics into Nigerian education from counselling perspectives. It discusses the opportunities for personalized learning, improved student outcomes, and enhanced counselling services on digital platforms. It is obvious that there are tremendous benefits, opportunities, professional upskillings, promotion of digital literacy and professional enhancement and promotions. However, this rapid technological shift also raises critical concerns like professional readiness, access to electricity, internet connectivity, digital gaps, and the role of human agency in guidance and counselling services. This paper explores the opportunities, challenges, and implications of AI and robotics in Nigerian educational counselling services, emphasizing the need for proactive policy frameworks, comprehensive counsellor training and re-training, ethical guidelines, and inclusive strategies to maximize the benefits of technological innovations for supportive rather than replacing the counsellors’ fundamental duties and responsibilities to all learners especially the clients. Keywords: Artificial Intelligence, Educational Counselling, Nigerian Education, Robotics and Ethical Implications
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-04
- DOI
- https://doi.org/10.5281/zenodo.16741971
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00