ENHANCING SENIOR SECONDARY STUDENTS' ACHIEVEMENT IN COMMERCE THROUGH DEEP LEARNING APPROACH: EMPIRICAL EVIDENCE FROM ONELGA, RIVERS STATE
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Zenodo
2025
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| _version_ | 1866901389097041920 |
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| author | Nwaoburu, Blessing |
| author_facet | Nwaoburu, Blessing |
| contents | <p><strong><span>Abstract</span></strong></p> <p><em><span>This study investigated how ONELGA senior secondary students’ achievement in commerce can be enhanced through the adoption of deep learning approach. The study was conceptualized utilizing a deep learning approach as a predictor for enhancing students’ achievement in terms of comprehension, skill acquisition, and knowledge application.<span> </span>The research employed a <strong>Quasi-Experimental Research Design (Non-Equivalent Control Group Design)</strong>.<span> </span>The study population consisted of 743 commerce students from 23 public senior high schools in ONELGA.<span> </span>The study sample size, determined using the Krejcie and Morgan Statistical Table, comprised 248 commerce students randomly selected from 23 public senior high schools in ONELGA. Following data cleansing, only 241 instances of the questionnaire were utilised for data analysis.<span> </span>Regression analysis was employed to evaluate the relevance of the predictor variable on the components of the criterion variable, utilising the Statistical Package for Social Sciences, version 23.0.<span> </span>The data analysis demonstrated that the deep learning approach significantly enhanced knowledge acquisition.<span> </span>The study concluded that the deep learning approach considerably enhances ONELGA senior secondary students’ achievement in commerce.<span> </span>Sequel to the findings and conclusion, this study recommends among others, that principals and administrators of secondary schools in ONELGA should use a deep learning method to enhance knowledge acquisition.</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18291171 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ENHANCING SENIOR SECONDARY STUDENTS' ACHIEVEMENT IN COMMERCE THROUGH DEEP LEARNING APPROACH: EMPIRICAL EVIDENCE FROM ONELGA, RIVERS STATE Nwaoburu, Blessing <p><strong><span>Abstract</span></strong></p> <p><em><span>This study investigated how ONELGA senior secondary students’ achievement in commerce can be enhanced through the adoption of deep learning approach. The study was conceptualized utilizing a deep learning approach as a predictor for enhancing students’ achievement in terms of comprehension, skill acquisition, and knowledge application.<span> </span>The research employed a <strong>Quasi-Experimental Research Design (Non-Equivalent Control Group Design)</strong>.<span> </span>The study population consisted of 743 commerce students from 23 public senior high schools in ONELGA.<span> </span>The study sample size, determined using the Krejcie and Morgan Statistical Table, comprised 248 commerce students randomly selected from 23 public senior high schools in ONELGA. Following data cleansing, only 241 instances of the questionnaire were utilised for data analysis.<span> </span>Regression analysis was employed to evaluate the relevance of the predictor variable on the components of the criterion variable, utilising the Statistical Package for Social Sciences, version 23.0.<span> </span>The data analysis demonstrated that the deep learning approach significantly enhanced knowledge acquisition.<span> </span>The study concluded that the deep learning approach considerably enhances ONELGA senior secondary students’ achievement in commerce.<span> </span>Sequel to the findings and conclusion, this study recommends among others, that principals and administrators of secondary schools in ONELGA should use a deep learning method to enhance knowledge acquisition.</span></em></p> |
| title | ENHANCING SENIOR SECONDARY STUDENTS' ACHIEVEMENT IN COMMERCE THROUGH DEEP LEARNING APPROACH: EMPIRICAL EVIDENCE FROM ONELGA, RIVERS STATE |
| url | https://doi.org/10.5281/zenodo.18291171 |