Application Of Artificial Intelligence in Teaching and Learning in Secondary Schools in Anambra State

This study determined the application of artificial intelligence in teaching and learning in secondary schools in Anambra State. Three research questions guided the study and three null hypotheses were tested. The study adopted a descriptive survey research design using a population of 571 public secondary school teachers in the area of the study. The entire population was studied without sampling because the size was manageable. A structured questionnaire developed by the researchers was used for data collection. Cronbach Alpha method was used to establish the reliability which yielded coefficient values of 0.81, 0.79 and 0.83 for the three clusters. Out of the 690 copies of the instruments administered, only 571 copies were retrieved. This number (571) represented 90% of the questionnaires administered. Mean, standard deviation and ANOVA were used to analyze the data. The results showed that AI-teachers agreed on the artificial intelligence tools available in secondary schools, benefits and challenges of artificial intelligence in teaching and learning in secondary schools in Anambra State. The results showed that experience do not significantly influenced the mean ratings of the respondents on the artificial intelligence tools available for teaching and learning, benefits and challenges of applying these tools in teaching and learning.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-26
DOI
https://doi.org/10.5281/zenodo.15287651
Primary Topic
Educational Technology and E-Learning
Type
article
Field-Weighted Citation Impact
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article

Application Of Artificial Intelligence in Teaching and Learning in Secondary Schools in Anambra State

Zenodo (CERN European Organization for Nuclear Research)
Educational Technology and E-Learning
article

Application Of Artificial Intelligence in Teaching and Learning in Secondary Schools in Anambra State

article en

Abstract

This study determined the application of artificial intelligence in teaching and learning in secondary schools in Anambra State. Three research questions guided the study and three null hypotheses were tested. The study adopted a descriptive survey research design using a population of 571 public secondary school teachers in the area of the study. The entire population was studied without sampling because the size was manageable. A structured questionnaire developed by the researchers was used for data collection. Cronbach Alpha method was used to establish the reliability which yielded coefficient values of 0.81, 0.79 and 0.83 for the three clusters. Out of the 690 copies of the instruments administered, only 571 copies were retrieved. This number (571) represented 90% of the questionnaires administered. Mean, standard deviation and ANOVA were used to analyze the data. The results showed that AI-teachers agreed on the artificial intelligence tools available in secondary schools, benefits and challenges of artificial intelligence in teaching and learning in secondary schools in Anambra State. The results showed that experience do not significantly influenced the mean ratings of the respondents on the artificial intelligence tools available for teaching and learning, benefits and challenges of applying these tools in teaching and learning.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 40%
Educational Technology and E-Learning
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