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The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry

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2019 ASEE Annual Conference & Exposition


Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

International Division Technical Session 5

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Paper Authors


Bernardine Ngozi Nweze Enugu State University of Science and Technology, Nigeria

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Dr Bernardine Ngozi Nweze
Department of Science and Computer Education,
Enugu State University of Science and Technology,
Enugu, State, Nigeria.

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Benedict Uzochukwu Virginia State University

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Benedict Uzochukwu is an Associate Professor of Engineering Technology at the Virginia State University. His research interests include Human Factors and Ergonomics, Sustainment, Logistics, Supply Chain Management, Life cycle Systems, Systems Integration and Management of technology systems. He has a Ph.D. degree in Industrial Engineering from the North Carolina A & T State University, Greensboro and has several peer reviewed publications to his credit. He belongs to a number of professional organizations such as the Institute of Industrial Engineers (IIE), Society for Engineering Management (SEM), Project Management Institute (PMI), Society for Health Systems (SHS) and Association of Technology Management and Applied Engineering (ATMAE). He is also a member of Alpha Pi Mu and Phi Kappa Phi Honors society.

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The study was designed to investigate the predictive validity of University Tertiary Matriculation scores in chemistry for admission into chemistry-based courses in public Universities in Enugu State Nigeria. The study adopted a correlational survey research design. One research question and one hypothesis were formulated to guide the study. The study was conducted in public Universities in Enugu State, Nigeria. A multi stage sampling technique was adopted and a total population of 1481 students out of which 761 students were sampled and used for the study, from three chemistry- based departments from the two universities. The data for the analysis were obtained from departmental admission lists and the students result records from their various universities. The multiple regression technique was used for the analysis and the regression coefficients tested for significance using F-test at 0.05%. The study revealed among others that: UTME correlated with First year results in Biochemistry (r =0.11), Industrial Chemistry(r=0.37), and Medicine (r=0.14) in Federal University while in state university, only Biochemistry (r=0.18) and Medicine (r=0.13) were positively correlated but Industrial Chemistry did not. Based on the findings, the educational implications were highlighted. The authors recommend that joint admissions and matriculation board should review their mode of assessment to include both achievement and aptitude tests.

Nweze, B. N., & Uzochukwu, B. (2019, June), The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33414

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