A Study Of Some Selected Factors Affecting Academic Performance Of Students At Kotebe College Of Teacher Education
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This study attempts to assess the predictive validity of some selected variables on studentsrnpast experience, identification, parental economic and educational backgrounds and collegernfacilities . It investigates the most dominant predictors of the first year first semester averagernscore of students at Kotebe College of Teacher Education. Subjects of the study consist ofrn102 randomly selected freshman students from the Natural and Social Science students whornwere admitted to the college in the year 1998/99. Preliminary analysis is carried outrnthrough Chi-square tests and correlation analysis. The combined effect of the variables isrnanalyzed using stepwise regression analysis. The results show that high school overallrnaverage score, age, sex, ESLCE mathematics grade, region high school attended andrnmother's education are significant predictors of first year first semester average score.rnImplications are discussed and suggestions are given
Subsurface Intelligence & Critical Mineral Exploration
Modern Geology projects now focus on Machine Learning in Mineral Targeting, Carbon Capture & Storage (CCS) Geologic Modeling, and Critical Mineral Systems (Lithium, REEs). If your research involves Hydrogeological Connectivity, Seismic Inversion, or Geotechnical Site Characterization, ensure your analysis follows the JORC or NI 43-101 reporting standards and utilizes robust 3D Subsurface Visualization and Geochemical Fingerprinting frameworks.
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