E-Learning in the Post COVID-19 Era: A Panacea for Repositioning Students’ Attitude Towards English Language Learning in the University of Calabar, Nigeria

Abstract

In the contemporary educational landscape, the integration of technology has revolutionized the way students learn and engage with academic content. E-learning, defined as the use of electronic media and information and communication technologies (ICT) in education, has gained prominence across various disciplines, including language learning. Literature tells that e-learning aids students’ learning and produces better results. The research aims to ascertain the influence of e-learning on students’ attitude towards English Language learning. Two research questions guided the study while two hypotheses were formulated and tested at 0.05 level of significance. The study adopted descriptive survey research design and the population of the study consist of 343 English Language students of 200 level from Arts Education Department of the University of Calabar. Purposive and census sampling techniques were used for the study to select the entire 343 English Language students of 200 level from Arts Education Department that constituted the sample. A well validated ‘Students’ E-Learning and Attitude Questionnaire (SEAQ) was used to collect the required data. Analysis of Variance (ANOVA) was the statistical tools used for analysis of the data collected. The result of the analysis revealed that there is a significant influence of students’ perception to e-learning and students’ accessibility to e-learning, on their attitude towards English Language. Sequel to the findings of this study, it was recommended, among others that, regular surveys and focus group discussions should be conducted to gauge students’ perception of e-learning and their attitude towards learning English. A comprehensive and user-friendly e-learning platform that prioritizes accessibility for students should be implemented.

Keywords: E learning, covid-19, perception, accessibility and attitude