Students' Attitudes towards the Use of Mobile Learning in Universities of Northeast Nigeria
Abstract
The study aimed to explore students' attitudes towards mobile learning in northeast Nigerian universities. The research involved a cross-sectional survey design, involving 347 students from a population of 5,527. The researchers used a self-developed instrument called Students' Attitudes on Mobile Learning Tool (SAMTL) to collect data. The results showed that the majority of students aged 26 to 35 enrolled in m-learning programs, were highly motivated by the content on the LMS, and were satisfied with their scores obtained through m-learning. Over 60% of the respondents were satisfied with their scores, and over 80% believed that m-learning equipped them with the necessary skills to face competitive work environments. The study also found a statistically significant difference in mean scores between individuals with mobile phones and those without, suggesting a potential association or impact of mobile phone possession on the measured variable. The findings propose that m-learning can equip students with the necessary skills to succeed in a competitive work environment. The study highlights the importance of understanding students' attitudes towards mobile learning in promoting academic success and job skill acquisition. The study also recommended that institutions should enhance the quality and variety of LMS content to maintain high levels of student engagement and motivation. Provide diverse learning materials, including interactive modules, videos, and real-world case studies, to cater to different learning preferences; and institutions should continue to focus on the development of skills that are relevant to the competitive work environment, offer workshops, webinars, and interactive sessions on soft skills, technical skills, and industry-specific knowledge. Also, collaborate with industry professionals to provide mentorship and real-world insights.
Keywords
M-learning;Students;Attitudes;Open;Distance;Learning
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