Assessment Of Undergraduates Utilisation of Artificial Intelligence For Learning At Kampala International University, Uganda
Assessment Of Undergraduates Utilisation of Artificial Intelligence For Learning At Kampala International University, Uganda
This study assessed undergraduates’ utilisation of Artificial Intelligence (AI) for learning at Kampala International University, a private university in Kampala, Uganda. This study adopted a descriptive survey research design. A sample of 450 undergraduates was selected from five colleges and schools in Kampala International University, Uganda using simple random sampling technique. Data were collected using a self-administered . The findings of the study revealed that AI facilities are not adequately available in the university. It was also revealed that students often use AI tools for learning. However, AI adoption emerged at various, high and low level of adoption, i.e, Google Assistance revealed a mean score of (x̅ = 2.87), while Elsa Speak showd a lower adoption mean score of (x̅ = 1.94) Independent samples t-test analysis showed (df = 448; t = -2.935; p > 0.05) no significant differences in the mean response of male and female undergraduates’ level of utilisation of AI. The study concludes that, students depend on AI tools quite often for learning though the AI facilities available at Kampala International University are not sufficient. These findings, therefore, imply that there should be increased AI infrastructure as well as other concerted efforts aimed at ensuring equitable and effective AI adoption in higher education. Based on the findings, it was recommended among others that University management should further encourage students to use AI by organizing workshops and seminars that will expose students to the use of artificial intelligence in the university. Also, both male and female undergraduates should further be encouraged to use AI tools for learning. The study also recommends that university managements should make AI facilities available to make students have access to various AI tools.
This study assessed undergraduates’ utilisation of Artificial Intelligence (AI) for learning at Kampala International University, a private university in Kampala, Uganda. This study adopted a descriptive survey research design. A sample of 450 undergraduates was selected from five colleges and schools in Kampala International University, Uganda using simple random sampling technique. Data were collected using a self-administered . The findings of the study revealed that AI facilities are not adequately available in the university. It was also revealed that students often use AI tools for learning. However, AI adoption emerged at various, high and low level of adoption, i.e, Google Assistance revealed a mean score of (x̅ = 2.87), while Elsa Speak showd a lower adoption mean score of (x̅ = 1.94) Independent samples t-test analysis showed (df = 448; t = -2.935; p > 0.05) no significant differences in the mean response of male and female undergraduates’ level of utilisation of AI. The study concludes that, students depend on AI tools quite often for learning though the AI facilities available at Kampala International University are not sufficient. These findings, therefore, imply that there should be increased AI infrastructure as well as other concerted efforts aimed at ensuring equitable and effective AI adoption in higher education. Based on the findings, it was recommended among others that University management should further encourage students to use AI by organizing workshops and seminars that will expose students to the use of artificial intelligence in the university. Also, both male and female undergraduates should further be encouraged to use AI tools for learning. The study also recommends that university managements should make AI facilities available to make students have access to various AI tools.

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Article Information
- Article Type Articles
- Submitted 3 April 2025
- Accepted 2 July 2025
- Published 16 July 2025
- Issue Vol. 2 No. 2 (2025): Volume 2 Issue 2 (2025): West European Journal of Social Sciences
- Section Articles