E-learning readiness from perspectives of medical students: A survey in Nigeria

Autor: I E, Obi, A N, Charles-Okoli, C C, Agunwa, B I, Omotowo, A C, Ndu, O R, Agwu-Umahi
Rok vydání: 2018
Předmět:
Zdroj: Nigerian journal of clinical practice. 21(3)
ISSN: 1119-3077
Popis: Learning in the medical school of the study university is still by the traditional face-to-face approach with minimal e-communication.This paper assesses student's perspectives of E-learning readiness, its predictors and presents a model for assessing them.A descriptive cross-sectional study of medical students.By proportional quota sampling 284 students responded to a semi-structured self-administered questionnaire adapted from literature. Ethical issues were given full consideration.Analysis was with SPSS version 20, using descriptive statistics, ANOVA, Spearman's correlation, and multiple regression. Statistical significance was considered at P0.05.Medical students are ready for E-learning (Mlr = 3.8Melr = 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 = 3.7Melr = 3.4), access to laptops (76.1%), ability to use web browsers confidently (91.8%) (Mwb = 4.3Melr = 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 = 2.7Melr = 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.Medical 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.
Databáze: OpenAIRE