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

\bibitem{asee_peer_33414}
  Nweze, B. N., \& Uzochukwu, B. (2019, June), \emph{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

Bernardine Ngozi Nweze and Benedict Uzochukwu.  "The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/33414 Internet.  12 Mar, 2025

\bibitem{asee_peer_33414}
  Bernardine Ngozi Nweze and Benedict Uzochukwu.
  "The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/33414 Internet.  12 Mar, 2025

@INPROCEEDINGS{asee_peer_33414
author = "Bernardine Ngozi Nweze and Benedict Uzochukwu"
title = "The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry"
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/33414}
number = {10.18260/1-2--33414}
}

TY  - CPAPER
AB  - 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.
AU  - Bernardine Ngozi Nweze
AU  - Benedict Uzochukwu
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - The Prediction of Student Performance in Chemistry-based Courses in Public Universities Using University Matriculation Entrance Scores in Chemistry
UR  - https://peer.asee.org/33414
DO  - 10.18260/1-2--33414
ER  -