The study examined digital resources (DRs) and the reading habits of university students in Nigeria. This study aims to establish the relationship between DRs and the reading habits of university students in Nigeria. The descriptive survey design was adopted for the study. The population of the study comprised all university students in Nigeria. An online questionnaire was used to collect data. The questionnaire was validated by two experts in research methodology and educational technology. 412 university students who responded to the questionnaire were used as the sample for the study. The sample size is justified by Fox et al. (2007) and Meyer (1979), who recommended 384 samples from an infinite population range. Cronbach’s alpha was used to establish the reliability of the instrument, which yielded 0.76. Data were analyzed with frequency counts and simple percentages, and statistical product and service solutions version 23 was used to generate the mean and standard deviation while Pearson’s product-moment correlation coefficient was used to test the hypotheses at the 0.05 level of significance. The findings established that the majority of the university students used DRs daily and the Internet resources were mostly used by the students. The students had positive perceptions of the impacts of DR usage on their reading habits. Lastly, the test of the hypothesis showed that there is a significant relationship between DRs and the reading habits of university students in Nigeria. Based on the findings, the researchers recommended that the university management should continue to provide the Internet services and computer systems so that students can continue to enjoy more access to DRs to enhance their learning.
The study looked at how students at the University of Africa, Toru-Orua (UAT), in Bayelsa State, Nigeria, used the Internet. A descriptive survey approach was chosen, and the study’s execution was driven by five research questions. The population of the study consisted of 1300 undergraduate students, and the Taro Yamane sample size algorithm was used to select the sample size, which was set at 300 students. The instrument for gathering data was the questionnaire. Experts in research techniques and statistics approved the questionnaire. The instrument’s dependability was determined using Cronbach Alpha, which produced a result of 0.87. Frequency counts and simple percentages were used to examine the data. The research found that the majority of students have access to Internet services on campus and that most of them regularly utilize those services for learning, personal development, and pleasure. The findings also showed that most students choose to use the university library’s Internet services and that obstacles to efficient use of these services included slow Internet speed, unpredictable power supply, weak information retrieval skills, and issues identifying relevant information. The researchers’ recommendations were based on the findings, and they included an upgrade to the institution’s electrical infrastructure, Internet infrastructure, and the provision of Internet access in the students’ dorms to maintain its efficient Internet services. The university library should also instruct students in digital literacy to enhance their search techniques and strategies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.