E-learning and Face to Face Mixed Methodology: Evaluating effectiveness of e-learning and perceived satisfaction for a microeconomic course using the Moodle Platform
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Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España
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- GI-EDaSS - Artigos [38]
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E-learning and Face to Face Mixed Methodology: Evaluating effectiveness of e-learning and perceived satisfaction for a microeconomic course using the Moodle PlatformFecha
2013Cita bibliográfica
Novo-Corti, I., Varela-Candamio, L., & Ramil-DíAz, M. (2013). E-learning and face to face mixed methodology: Evaluating effectiveness of e-learning and perceived satisfaction for a microeconomic course using the Moodle platform. Computers in Human Behavior, 29(2), 410-415
Resumen
[Abstract]: The use of Information and Communication Technologies in higher education has proved to be very effective in different educational environments. A less explored area is their application for evaluation on-line, since it is a different process, with specific components. This work describes a methodology that combines the assessment with multiple choice tests through the virtual environment Moodle and the evaluation by using traditional classroom exams. The proposed mixed methodology ELFF (E-Learning and Face to Face) was implemented during the academic year 2010-11 in the subject Microeconomics: Markets and Competition in the European Union of the double degree in Law and in Business Administration and Management, to assess complementary aspects of the knowledge acquired. The obtained results show that it clearly promotes the participation of students, increases their motivation and improves their competence and so, their performance in terms of qualifications.
Palabras clave
E-learning
Microeconomics
Virtual environments
Higher education
Moodle platform
Self-perception
Motivation
Microeconomics
Virtual environments
Higher education
Moodle platform
Self-perception
Motivation
Versión del editor
Derechos
Atribución-NoComercial-SinDerivadas 3.0 España
ISSN
0747-5632