Significance of Artificial Intelligence in Group Learning Strategy on Academic Performance in Biology Concept among Secondary Students in Sabon Gari Local Government Area of Kaduna State

Abubakar Salisu, Adebayo Rafat Romoke, Muhammad Maimuna Madaki

Abstract


This research work examined the “significance of artificial intelligence in group learning strategy on academic performance in biology concept among secondary students in Sabon Gari local government area of Kaduna State”. The study adopted the use of quasi-experimental design. The population of this study comprised of one thousand, nine hundred and twenty-one (1,921) SS II students while a sample 60 students was drawn using random sampling technique. Biology Performance Test (BPT) was the instrument used in data collection. Both descriptive and inferential statistics techniques were used in the analysis of data. Mean and standard deviation were used to answer the research questions while independent t-test statistics was used to test the study hypotheses. All the hypotheses were tested at 0.05 level of significance. The result revealed that Students taught using the AI-integrated group learning strategy significantly outperformed those taught with the traditional lecture method. The AI-based group learning method also led to significantly higher retention levels compared to the lecture method. No significant gender difference was found in academic performance among students taught using the AI-integrated strategy. Both male and female students benefited equally. It was recommended that: Schools should adopt group learning strategies integrated with artificial intelligence as a core teaching method, especially in science subjects like biology. The findings clearly show that this approach significantly improves students’ academic performance and retention compared to traditional lecture methods.


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References


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