ARTIFICIAL INTELLIGENCE–DRIVEN COUNSELLING INSIGHTS: PERSONALIZING LEARNING AND CAREER PATHWAYS FOR SUSTAINABLE STUDENT SUCCESS

Authors

  • Bolade Deborah Falope Emmanuel Alayande University, Oyo, Oyo State, Nigeria.
  • Olubunmi Adewumi Adeniji University of Ibadan Research Foundation
  • Abayomi Ayodeji Adedokun Gwinnett County Public Schools, GA. USA.

Keywords:

Artificial Intelligence and counselling, Personalising learning, Career pathways, Sustainable student success, Educational technology

Abstract

The study examined the impact of AI-based counselling information on secondary school students' academic and vocational decisions in Oyo State, Nigeria. Researchers used a validated scale, the AI Personalised Learning and Career Guidance Questionnaire (AIPL-CGQ), to collect data from 120 students from four different schools in Ibadan, Oyo State, with Cronbach's alpha values of 0.88 for Personalised Learning and 0.84 for Career Pathways. Pearson Product-Moment Correlation and independent-samples t-tests were used to analyse the collected data. Results showed a significant relationship between AI-driven counselling insights and personalised learning among students. There was also a significant positive relationship between AI-driven counselling insights and students' career pathways. Consequently, the null hypothesis was rejected. This suggests AI-driven counselling insights help students explore career options, develop career awareness, and make informed decisions. However, gender does not have a statistically significant effect on students' perceptions of or responses to AI-driven counselling insights.

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Published

2026-09-15

Issue

Vol. 23 No. 1 (2026): IFE JOURNAL OF EDUCATIONAL STUDIES (IJES)

Section

Articles