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.pg142.155
Philip Festus Ukata, PhD, Dr. Steve Worgu
This study explored teaching learners artificial intelligence tools for effective and efficient digital entrepreneurship in public tertiary institutions in Rivers State. Two research questions guided the study and two null hypotheses were tested. Descriptive survey research design was adopted. From a population of 123 entrepreneurship lecturers, a census survey sampling was employed. A four-point response options questionnaire was used for data collection, and it was validated by three experts. The reliability of the instrument was established using Cronbach’s alpha which yielded coefficients of 0.77 and 0.78. Mean and Standard Deviation were used to answer the two research questions and measure the spread in respondents` opinions, while one- way analysis of variance (ANOVA) was used to test the two null hypotheses at 0.05 level of significance. Findings revealed that those AI tools to teach learners are very highly needed and will lead to effective and efficient digital entrepreneurship activities. It also showed that educational attainment and years of teaching experience play vital roles in teaching AI tools to learners for effective and efficient digital entrepreneurship activities. Consequently, it was concluded that if AI tools are included in the curriculum, it will transform the programme positively, lead to AI skills development and enable the learners to acquire the needed AI employability skills. Among other things, it was recommended that AI tools should be included in entrepreneurship curriculum through yearly internal curriculum review by lecturers in collaboration with their institutions and five years national review by all levels of government.
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