• I E Obi, A N Charles-Okoli, C C Agunwa, B I Omotowo, A C Ndu, and O R Agwu-Umahi.
• Department of Community Medicine, Faculty of Medical Sciences, College of Medicine, University of Teaching Hospital, Enugu State, Nigeria.
• Niger J Clin Pract. 2018 Mar 1; 21 (3): 293300293-300.

ContextLearning in the medical school of the study university is still by the traditional face-to-face approach with minimal e-communication.AimThis paper assesses student's perspectives of E-learning readiness, its predictors and presents a model for assessing them.Settings And DesignA descriptive cross-sectional study of medical students.Subjects And MethodsBy proportional quota sampling 284 students responded to a semi-structured self-administered questionnaire adapted from literature. Ethical issues were given full consideration.Statistical Analysis UsedAnalysis was with SPSS version 20, using descriptive statistics, ANOVA, Spearman's correlation, and multiple regression. Statistical significance was considered at P < 0.05.ResultsMedical students are ready for E-learning (Mlr = 3.8 > Melr = 3.4), beyond reliance on the face-to-face approach (69.7%), expecting effective (51.1%), and quality improvement in their learning (73.1%). Having basic information and communications technology skills (68.9%) (Mict = 3.7 > Melr = 3.4), access to laptops (76.1%), ability to use web browsers confidently (91.8%) (Mwb = 4.3 > Melr = 3.4), with only few able to use asynchronous tools (45.5%), they consider content design important to attract users (75.6%), and agree they need training on E-learning content (71.4%). They however do not believe the university has enough information technology infrastructure (62.4%) (Mi = 2.7 < Melr = 3.4) nor sufficient professionals to train them (M = 2.9). Predictors are attitude, content readiness, technological readiness, and culture readiness. The model however only explains 37.1% of readiness in the population.ConclusionsMedical students in this environment are ready to advance to E-learning. Predicted by their attitude, content, technological and cultural readiness. Further study with qualitative methodology will help in preparing for this evolution in learning.

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