Challenges and Prospects of Utilizing Artificial Intelligence into Teaching and Learning of Technical Education Courses in Tertiary Institutions in Kano State, Nigeria

The study focused on challenges and prospects of utilizing artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria. Two research questions guided the study and two null hypotheses were tested. A descriptive survey research design was adopted. The population of the study consisted of 206 technical educators in government owned tertiary institutions that offer technical education courses in Kano State. No sample was taken, as the population size was manageable. A 18-items structured questionnaire was used and validated by three experts for the study. The reliability of the instrument was ascertained using Cronbach Alpha which showed that the clusters achieved co-efficient values of 0.92 and 0.89 respectively for the clusters B1 and B2, with an overall reliability co-efficient value of 0.91. Data related to the research questions were analyzed using mean and standard deviation, while t-test was used to test the null hypotheses at 0.05 level of significance. The findings of the study revealed that challenges inhibiting the utilization of artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria to include lack of artificial intelligence literacy, access to artificial intelligence resources, inadequate infrastructure among others. The findings further revealed that utilizing artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria yields several prospects including advancements in adaptive learning systems that respond dynamically to individual student progress, enhancement of the personalization of education, among others. It was recommended among others that educational institutions should implement policies and guidelines for the controlled of challenges of utilizing artificial intelligent to ensure effective teaching and learning of technical education.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-17
DOI
https://doi.org/10.5281/zenodo.16948202
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges and Prospects of Utilizing Artificial Intelligence into Teaching and Learning of Technical Education Courses in Tertiary Institutions in Kano State, Nigeria

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Challenges and Prospects of Utilizing Artificial Intelligence into Teaching and Learning of Technical Education Courses in Tertiary Institutions in Kano State, Nigeria

article en

Abstract

The study focused on challenges and prospects of utilizing artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria. Two research questions guided the study and two null hypotheses were tested. A descriptive survey research design was adopted. The population of the study consisted of 206 technical educators in government owned tertiary institutions that offer technical education courses in Kano State. No sample was taken, as the population size was manageable. A 18-items structured questionnaire was used and validated by three experts for the study. The reliability of the instrument was ascertained using Cronbach Alpha which showed that the clusters achieved co-efficient values of 0.92 and 0.89 respectively for the clusters B1 and B2, with an overall reliability co-efficient value of 0.91. Data related to the research questions were analyzed using mean and standard deviation, while t-test was used to test the null hypotheses at 0.05 level of significance. The findings of the study revealed that challenges inhibiting the utilization of artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria to include lack of artificial intelligence literacy, access to artificial intelligence resources, inadequate infrastructure among others. The findings further revealed that utilizing artificial intelligence into teaching and learning of technical education courses in tertiary institutions in Kano State, Nigeria yields several prospects including advancements in adaptive learning systems that respond dynamically to individual student progress, enhancement of the personalization of education, among others. It was recommended among others that educational institutions should implement policies and guidelines for the controlled of challenges of utilizing artificial intelligent to ensure effective teaching and learning of technical education.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 64%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Challenges and Prospects of Utilizing Artificial Intelligence into Teaching and Learning of Technical Education Courses in Tertiary Institutions in Kano State, Nigeria · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS