Effects of Artificial Intelligence (AI)-Powered Personalized Learning Platforms On Students' Academic Interest and Achievement.
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2025
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| author | JEMIRIGBE, Esther Ado, Isaac B. |
| author_facet | JEMIRIGBE, Esther Ado, Isaac B. |
| contents | <p><strong><span>Abstracts</span></strong></p> <p><span>This study investigated the effect of AI-powered personalized learning platform on students interest and achievement in physics(electromagnetism) among secondary schools in Ogbia Local Government Area of Bayelsa state. This goal compares students academic performance in AI-powered personalized learning platform to that of students in conventional learning platform. Three research questions guided the study while three null hypotheses were tested at 0.05 level of significance. Quasi experimental research design was adopted for the study. The population of the study comprised 1564 senior secondary school (II) physics students. A sample size of 87 students were used for the study. Sample was gotten from two schools selected using simple random sampling from the population. One school serves as the experimental group while the other as the control group. The instrument for data collection were Physics Achievement Test(PAT), Reasoning Ability Test (RAT) and Physics Interest Inventory(SII), which was developed by the researcher and validated by two experts in physics education and measurement and evaluation experts. Kuder-Richardson 20 (K-20) formula was used to estimate the reliability of the instrument and a reliability index o f 0.74 and 0.73 were obtained for PAT and RAT. Mean and standard deviation were used for answering the research questions while Analysis of Covariance (ANCOVA) was used to test for the null hypotheses. The null hypothesis was rejected if probability value is less than the significant value of 0.05 (P<0.05) and if otherwise (P>0.05), it was not rejected. The findings of the study showed among others that physics student taught electromagnetism using AI-powered personalized learning platform had improved academic achievement more than those taught using conventional method. In line with the findings, the researcher recommended among others that schools should adopt the use of AI-powered personalized learning platform for teaching and learning physics (electromagnetism), to enhance students’ academic achievement.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17237430 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Effects of Artificial Intelligence (AI)-Powered Personalized Learning Platforms On Students' Academic Interest and Achievement. JEMIRIGBE, Esther Ado, Isaac B. <p><strong><span>Abstracts</span></strong></p> <p><span>This study investigated the effect of AI-powered personalized learning platform on students interest and achievement in physics(electromagnetism) among secondary schools in Ogbia Local Government Area of Bayelsa state. This goal compares students academic performance in AI-powered personalized learning platform to that of students in conventional learning platform. Three research questions guided the study while three null hypotheses were tested at 0.05 level of significance. Quasi experimental research design was adopted for the study. The population of the study comprised 1564 senior secondary school (II) physics students. A sample size of 87 students were used for the study. Sample was gotten from two schools selected using simple random sampling from the population. One school serves as the experimental group while the other as the control group. The instrument for data collection were Physics Achievement Test(PAT), Reasoning Ability Test (RAT) and Physics Interest Inventory(SII), which was developed by the researcher and validated by two experts in physics education and measurement and evaluation experts. Kuder-Richardson 20 (K-20) formula was used to estimate the reliability of the instrument and a reliability index o f 0.74 and 0.73 were obtained for PAT and RAT. Mean and standard deviation were used for answering the research questions while Analysis of Covariance (ANCOVA) was used to test for the null hypotheses. The null hypothesis was rejected if probability value is less than the significant value of 0.05 (P<0.05) and if otherwise (P>0.05), it was not rejected. The findings of the study showed among others that physics student taught electromagnetism using AI-powered personalized learning platform had improved academic achievement more than those taught using conventional method. In line with the findings, the researcher recommended among others that schools should adopt the use of AI-powered personalized learning platform for teaching and learning physics (electromagnetism), to enhance students’ academic achievement.</span></p> |
| title | Effects of Artificial Intelligence (AI)-Powered Personalized Learning Platforms On Students' Academic Interest and Achievement. |
| url | https://doi.org/10.5281/zenodo.17237430 |