Open AccessFactors Impacting Students Academic Performance Using R Code Programming Language for Analysing the Data
Author(s) -
Adesina Fatimat. O,
Akande Ademola,
Ajala Abiodun. L,
Tolulope Kolawole,
Ogundeji Tajudeen. O
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206399
Subject(s) - computer science , code (set theory) , mathematics education , c programming language , de facto , work (physics) , psychology , programming language , engineering , software , political science , mechanical engineering , set (abstract data type) , law
This work intends to investigate and propose a model that can be used by students, parents, teachers and education policy makers to understand and predict high school student academic performance based on pre-defined factors identified as capable of impacting students’ academic performance. This study uses ex post facto research design. An instrument measuring students’ academic performance has been used to collect data from the management students and R-Code programming language was used to analyse the data collected and there was a positive and statistically significant impact of learning facilities, age, romance and proper guidance from parent on student performance.