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Modeling Learner Satisfaction in an Electronic Instrumentation and Measurement Course Using Structural Equation Models

Bibliographic Data

ID20298138
AuthorsS L Toral (0000-0003-2612-0388, Universidad de Sevilla), Federico Barrero (0000-0002-2896-4472, Universidad de Sevilla), María del Rocío Martínez Torres (0000-0002-1640-0020, Universidad de Sevilla), Maria R Martinez-Torres, S Gallardo (0000-0002-3703-9983, Universidad de Sevilla), Mario J Duran (0000-0002-4912-7091, Universidad de Sevilla)
Year2009
Volume52
Issue1
Pages190-199
Publication date2009-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2008.924215
OpenAlexW2165418218
LanguageEN
Citations received2
References cited31

The prevailing tendency in modern university reforms is towards ldquohow people learn,rdquo following a learner-centered approach in which the learner is the main actor of the teaching-learning process. As a consequence, one of the key indicators of the teaching-learning process is the measurement of learner satisfaction within the classroom. Learner satisfaction has traditionally been measured using survey responses to a standard learning survey. However, more scientific analysis should be performed to assess adequately not only learner satisfaction but also the main dimensions that have a positive impact on learner satisfaction. The purpose of this paper is to define a structural and measurement model in which causal relationships among these different dimensions are adequately established. The methodology is based on a multivariate regression model (Structural Equation Models) to establish scientifically a structural model for learner satisfaction within a classroom, measuring its validity and reliability. The proposed approach has been applied to model learner satisfaction in an electronic instrumentation course at the University of Seville, Spain. The results and implications of this study will contribute to improve student satisfaction with respect to the dimensions considered

Course (navigation) · Instrumentation (computer programming) · Key (lock) · Machine learning · Mathematics education · Process (computing) · Reliability (semiconductor) · Structural equation modeling · Computer Science · Engineering · Online and Blended Learning · Psychology

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Unique citing works2
Citations per year0.13
Citation span2011 - 2013 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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