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- This study investigated Open Distance Learning (ODL) students’ technology self-efficacy and digital literacy levels and how the relationship between their technology self-efficacy and digital literacy is moderated by gender. The study adopted a quantitative survey research approach and data was collected from 522 students from a selected ODL institution in Nigeria using an online survey. A structured questionnaire consisting of 3 domains namely, demographic, technology self-efficacy and digital literacy were used as a data collection instrument for the study. Data generated from the study were analysed using descriptive statistics of percentages, frequency count, mean and standard deviation while correlation and factor analyses were performed to estimate the model’s consistency and construct validity. The moderating role of gender was done using the process macro (Model 1) developed by Hayes, (2018). Results revealed amongst others that ODL students’ technology self-efficacy is very high and their digital literacy rate is high. Also, technology self-efficacy was shown to exhibit a substantial positive influence on digital literacy among the students. However, the results indicated that gender played an insignificant moderating role in the relationship between technology self-efficacy and digital literacy. Based on the results, it was recommended that efforts at increasing digitization in ODL delivery in Nigeria should take into consideration these factors. Also, policy actions aimed at engaging ODL learners in more technologically sophisticated learning platforms must be anchored on students’ belief in their ability to use the learning platforms to achieve their desired learning outcomes irrespective of their gender
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- This study examined the impact of COVID-19-induced concerns regarding health, finance and learning on graduate students’ motivation for programme completion in Nigeria. A quantitative research method using survey approach was adopted for the study. The study utilized an online survey to gather data from 1846 graduate students from a purposively selected university in Nigeria. A model was proposed to serve as a framework for the analysis of the data collected. The model consisted of four constructs: health concerns, financial concerns, learning concerns and motivation for programme completion. A Partial Least Square- Structural Equation Modeling (PLS-SEM) technique in WarpPLS 7.0 was used for data analysis. Results revealed amongst others that the COVID-19-induced health concerns positively and significantly impacted graduate students’ motivation for programme completion. Additionally, the financial concerns related to the pandemic had a negative significant impact on graduate students’ motivation for programme completion. Further, the study found that COVID-19-induced concerns regarding health influenced graduate students’ concerns regarding finance. Similarly, COVID-19-induced concerns regarding finance significantly influenced graduate students’ learning concerns. Hence, the study suggested that university administrators and other stakeholders should assist graduate students with various forms of financial empowerment schemes, student loans and scholarships that could cushion the effect of the financial fallout of the pandemic on the graduate students and mitigate against possible dropout of the graduate students from graduate studies.
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- This study explored the relationship between demographic characteristics, academic procrastination, social support and academic performance among Open Distance Learning (ODL) students using a random forest approach. The study employed a quantitative research approach. The study participants consisted of 315 students from an ODL institution in Nigeria. The study used adapted scales to measure procrastination and social support and a self-reported performance scale to measure academic performance. Data were analyzed using chi-square analysis for classification while R-studio was used to fit a random forest model to classify and predict the study’s constructs. Results of the study revealed a significant relationship between academic performance and age. Similarly, gender has a significant influence on academic performance. Marital status significantly impacted academic performance, procrastination, and social support. Furthermore, it was revealed that programme level influences academic performance. Employment status was found to influence procrastination tendencies. Lastly, students with lower procrastination and higher social support achieved better academic performance. This study underscored the need for ODL institutions to implement demographic-specific support programmes focusing on procrastination reduction, time management skills, and robust social support networks. These can help enhance academic performance and address the diverse challenges faced by ODL students.
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