IIARD International Institute of Academic Research and Development

WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 9 NO. 1 2025
DOI: 10.56201/wjimt.v9.no1.2025.pg44.67

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Application of Artificial Intelligence in Business Education Programme for Enhanced Learning Capabilities of Postgraduate Students in Rivers State Universities

Godpower, Yiraodi Joel, Dr. Chibuike Egbunefu, Onyeso Tomorrow Onyemaechi

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Abstract

This study focused on the Application of Artificial Intelligence in Business Education Programme for Enhanced Learning Capabilities of Postgraduate Students in Rivers State Universities. The study was guided by three specific objectives, research questions, and hypotheses. A descriptive survey design was adopted. The population consisted of 111 Business Education postgraduate students from two state universities offering Business Education programmes. Since the population was small, no sampling was done. The data collection instrument was a questionnaire developed by the researchers and validated by three Business Education experts from Rivers State University. The test-retest method using Pearson Product Moment Correlation Coefficient (PPMCC) determined the instrument's reliability, yielding a coefficient of 0.69 meaning the instrument is reliable for the study. Out of 111 instrument distributed, 108 were retrieved and used for data analysis. Mean and Standard Deviation were used to answer the research questions, while t-test statistical tool with the aid of SPSS was used to test the hypotheses at a 0.05 significance level. The findings showed that postgraduate students in Rivers State universities agreed to a high extent that Postgraduate Business Education Students apply natural language processing (NLP), data analysis and predictive analytics and automation for enhanced learning capabilities of postgraduate students. Based on the findings, it was recommended that: Natural Language Processing (NLP) skills should be introduced to Business Education students through advanced courses or workshops focused on NLP fundamentals, including text analysis, sentiment analysis, and language generation techniques, Students should be engaged in specialized training sessions, conferences, webinars, and professional networks that focus on data analysis and predictive analytics and Institutions and non-government organizations should facili

keywords:

Application of Artificial Intelligence, Business Education Programme, Enhanced Learning Capabilities, natural language processing (NLP), automation features, data analysis and predictive analytics

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