E-learning interactivity: Perspectives of Ghanaian tertiary students
The study is in response to abrupt movement from the direct traditionally-centered classroom instruction to Elearning instruction in Ghana owing to the Corona Virus (COVID -19) pandemic. The study aimed at exploring the effect of E-learning interactivity on the effectiveness of E-learning in the Gha...
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Veröffentlicht in: | The online journal of distance education and e-learning : TOJDEL 2021-01, Vol.9 (1), p.60-73 |
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container_title | The online journal of distance education and e-learning : TOJDEL |
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creator | Mensah,Rahmat Mensah,Farouq Sessah Gyapong,Daniel Nimo Taley,Isaac Bengre |
description | The study is in response to abrupt movement from the direct traditionally-centered classroom instruction to Elearning
instruction in Ghana owing to the Corona Virus (COVID -19) pandemic. The study aimed at exploring
the effect of E-learning interactivity on the effectiveness of E-learning in the Ghanaian context and ways of
improving interactivity in E-learning models. The positivist research approach was adopted with cross-sectional
survey as the research design. Using a web-based survey, a sample of 2,115 students were randomly selected
from 194 different tertiary institutions in Ghana. Correlation and regression analysis was used as the statistical
tools to answer the research questions set for the study. The results indicated that all the categories on E-learning
interactivity (student-teacher interactivity, student-content interactivity, student–system interactivity, and studentstudent
interactivity) correlated with course effectiveness, students’ independent learning skills and student
learning behaviour respectively. However, the best predictor for course effectiveness was student–system
interactivity, best predictor for students’ independent learning skills was student-student interactivity while the
best predictor of students’ learning behaviour was student-teacher interactivity. The study reiterated that the
relationship between different forms of E-learning interactivity have significant impact on course effectiveness,
students’ independent learning skills and students’ learning behaviour. Practical implications and suggestions were
made in order to enhance the levels of interactivity within E-learning models. |
format | Article |
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instruction in Ghana owing to the Corona Virus (COVID -19) pandemic. The study aimed at exploring
the effect of E-learning interactivity on the effectiveness of E-learning in the Ghanaian context and ways of
improving interactivity in E-learning models. The positivist research approach was adopted with cross-sectional
survey as the research design. Using a web-based survey, a sample of 2,115 students were randomly selected
from 194 different tertiary institutions in Ghana. Correlation and regression analysis was used as the statistical
tools to answer the research questions set for the study. The results indicated that all the categories on E-learning
interactivity (student-teacher interactivity, student-content interactivity, student–system interactivity, and studentstudent
interactivity) correlated with course effectiveness, students’ independent learning skills and student
learning behaviour respectively. However, the best predictor for course effectiveness was student–system
interactivity, best predictor for students’ independent learning skills was student-student interactivity while the
best predictor of students’ learning behaviour was student-teacher interactivity. The study reiterated that the
relationship between different forms of E-learning interactivity have significant impact on course effectiveness,
students’ independent learning skills and students’ learning behaviour. Practical implications and suggestions were
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instruction in Ghana owing to the Corona Virus (COVID -19) pandemic. The study aimed at exploring
the effect of E-learning interactivity on the effectiveness of E-learning in the Ghanaian context and ways of
improving interactivity in E-learning models. The positivist research approach was adopted with cross-sectional
survey as the research design. Using a web-based survey, a sample of 2,115 students were randomly selected
from 194 different tertiary institutions in Ghana. Correlation and regression analysis was used as the statistical
tools to answer the research questions set for the study. The results indicated that all the categories on E-learning
interactivity (student-teacher interactivity, student-content interactivity, student–system interactivity, and studentstudent
interactivity) correlated with course effectiveness, students’ independent learning skills and student
learning behaviour respectively. However, the best predictor for course effectiveness was student–system
interactivity, best predictor for students’ independent learning skills was student-student interactivity while the
best predictor of students’ learning behaviour was student-teacher interactivity. The study reiterated that the
relationship between different forms of E-learning interactivity have significant impact on course effectiveness,
students’ independent learning skills and students’ learning behaviour. Practical implications and suggestions were
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instruction in Ghana owing to the Corona Virus (COVID -19) pandemic. The study aimed at exploring
the effect of E-learning interactivity on the effectiveness of E-learning in the Ghanaian context and ways of
improving interactivity in E-learning models. The positivist research approach was adopted with cross-sectional
survey as the research design. Using a web-based survey, a sample of 2,115 students were randomly selected
from 194 different tertiary institutions in Ghana. Correlation and regression analysis was used as the statistical
tools to answer the research questions set for the study. The results indicated that all the categories on E-learning
interactivity (student-teacher interactivity, student-content interactivity, student–system interactivity, and studentstudent
interactivity) correlated with course effectiveness, students’ independent learning skills and student
learning behaviour respectively. However, the best predictor for course effectiveness was student–system
interactivity, best predictor for students’ independent learning skills was student-student interactivity while the
best predictor of students’ learning behaviour was student-teacher interactivity. The study reiterated that the
relationship between different forms of E-learning interactivity have significant impact on course effectiveness,
students’ independent learning skills and students’ learning behaviour. Practical implications and suggestions were
made in order to enhance the levels of interactivity within E-learning models.</abstract><pub>Sakarya Üniversitesi Yayınları</pub></addata></record> |
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language | eng |
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subjects | Eğitim Bilimleri |
title | E-learning interactivity: Perspectives of Ghanaian tertiary students |
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