A regression model of academic growth of ODE learners: What role would psychosocial variables play?

• Author(s): E.O., Oladunmoye ; M. A., Olugbode
• Paper ID: 1703090
• Page: 106-117
• Published Date: 13-01-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 5 Issue 7 January-2022

Abstract

This study examined a regression model estimation of academic growth of ODE learners by considering the roles psychosocial variables are playing among Open Distance Education (ODE) learners in Nigeria. The study adopted a correlational research design with a sample of 300 undergraduate learners randomly selected from three faculties in the university of Ibadan distance learning centre. Three reliable scales were used in collecting data. Three research questions were raised and analysed using Pearson’s Product Moment Correlation (PPMC) and Multiple Linear Regression Analysis at 0.05 level of significance. It was discovered that positive relationship exist between the independent variables (age at entry, parental expectations, emotional intelligence and self-efficacy) and the dependent variable (academic growth); Academic growth positively correlated with age at entry (r= .763, p< 0.01), parental expectations (r = .553, P<0.01), self-efficacy (r = .510, P<0.01), emotional intelligence (r = .309, P<0.01). The regression model reveals that three out of four predictors (age at entry, emotional intelligence and self-efficacy) are potent predictors of academic growth. The strongest factor was age at entry (Beta = .750, t= 14.011, P<0.01), followed by self-efficacy (Beta = .467, t= 9.475, P<0.01) and emotional intelligence (Beta = .211, t= 3.877, P<0.01). Parental expectations (Beta = .018, t = .327, P>0.05) is not a potent predictor of ODE learners’ academic growth. It was recommended that parents are expected to consider the level of maturity of their undergraduate children before enrolling them in school. More so, the university managements are enjoined to provide the necessary learner support system that will help learners in adjusting to the open distance learning mode.

Keywords

Academic Gains, Emotional Intelligence, Self-efficacy, Age at entry, ODE learners. Word Count: 276

Citations

IRE Journals:
E.O., Oladunmoye , M. A., Olugbode "A regression model of academic growth of ODE learners: What role would psychosocial variables play?" Iconic Research And Engineering Journals Volume 5 Issue 7 2022 Page 106-117

IEEE:
E.O., Oladunmoye , M. A., Olugbode "A regression model of academic growth of ODE learners: What role would psychosocial variables play?" Iconic Research And Engineering Journals, 5(7)