Academic Performance of Computer Engineering Students on the K-12 Implementation
Metadata
Show full item recordEditorial
Universidad de Granada
Materia
Academic performance Demographic profile K-12 strands Computer engineering
Date
2023-03-03Referencia bibliográfica
Monaliza S. Jimenez, Dyan Gonzales (2023). Academic Performance of Computer Engineering Students on the K-12 Implementation.Journal for Educators, Teachers and Trainers,Vol. 14(1). 12-33. [DOI: 10.47750/jett.2023.14.01.002]
Abstract
Academic performance is the measurement of students’ achievement across various academic
subjects. Grades in Science and Mathematics subjects play an important role in finishing an
engineering course on time. This study focused on demographic profile and the chosen strand in K-12
program as factors that may affect academic performance. The study is a quantitative research
emphasizing the statistical and numerical analysis of data collected through questionnaires. Online
approach using google form was used to disseminate the questionnaire in gathering responses as data
needed in the study. The collected data was interpreted using analysis of variance or ANOVA. This
statistical method was used to determine if there is a significant difference between the academic
performance of Computer Engineering students, the demographic profile and the chosen strand in K-
12 program. Result shows that there is no significant difference in the grade of students whatever
their strands is. The weighted average of students in Science and Mathematics indicates a remarkable
academic performance. There is no significant difference in the students’ demographic profile, chosen
strand in K-12 program and their academic performance in Science and Mathematics subjects.