Original Research
An assessment of students’ perception and self-efficacy towards mobile learning: A case of University of Zululand
Submitted: 04 June 2020 | Published: 01 April 2021
About the author(s)
Israel Odede, Department of Information Studies, Faculty of Arts, University of Zululand, KwaDlangezwa, South AfricaAbstract
Background: Mobile learning (m-learning) has been recognised as an essential educational technology component in higher education. The use of mobile devices and the prospect to learn irrespective of time and place make mobile learning an important tool for students. Many studies have been conducted because of the importance of m-learning in advancing teaching and learning but few published scholarly studies have focused on perception and mobile self-efficacy.
Objectives: The study’s objective is to assess students’ perception and self-efficacy towards mobile learning at the University of Zululand.
Method: The study adopted a descriptive survey method and a stratified random sampling technique was used to select 200 undergraduate students from the four faculties for the study. Data were collected using questionnaire. Statistical tools such as frequency count and simple percentage were employed in analysing the collected data.
Results: WhatsApp, Facebook and YouTube are the top three social media applications mostly used by the students. Results showed that the students have positive perceptions towards m-learning and possess the confidence needed in using m-learning solutions.
Conclusion: Perception and mobile self-efficacy towards m-learning technology are important factors that help in determining whether or not students are ready to use m-learning. Hence, this study focuses on investigating the perception and self-efficacy of undergraduate students at the University of Zululand towards m-learning. Therefore, the study concludes that the University management fully integrates m-learning solutions to its academic programmes to enhance the quality of teaching and learning.
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Crossref Citations
1. Assessing the relationship between mobile devices usage, self-efficacy and online information seeking behavior: a demographic analysis in academic rural context
Muhammad Waqas, Sadaf Rafiq, Chen Ya, Jiang Wu
Aslib Journal of Information Management year: 2024
doi: 10.1108/AJIM-10-2023-0446