Predictors Of Java Programming Self Efficacy Among Engineering Students In A Nigerian University

TL;DR

This study investigates factors influencing Java programming self-efficacy among Nigerian engineering students, finding that specific course-related factors predict self-efficacy more than background experience.

Contribution

It identifies that only the number of programming courses and course scores predict Java self-efficacy, challenging assumptions about background experience's influence.

Findings

Programming background has no significant relationship with self-efficacy.

Number of programming courses offered predicts self-efficacy.

Course scores are significant predictors of self-efficacy.

Abstract

The study examined the relationship between Java programming self-efficacy and programming background of engineering students in a Nigerian University. One hundred and ninety two final year engineering students randomly selected from six engineering departments of the university participated in the study. Two research instruments: Programming Background Questionnaire and Java Programming Self-Efficacy Scale were used in collecting relevant information from the subjects. The resulting data were analyzed using Pearson product correlation and Multiple regression analysis. Findings revealed that Java Programming self-efficacy has no significant relationship with each of the computing and programming background factors. It was additionally obtained that the number of programming courses offered and programming courses weighed scores were the only predictors of Java self-efficacy.