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Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems | IEEE Journals & Magazine | IEEE Xplore

Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems


Abstract:

Contribution: An improved inverted lecturing (IIL) framework based on blending flipped lectures and handson experiments provides instructional benefits, compared to tradi...Show More

Abstract:

Contribution: An improved inverted lecturing (IIL) framework based on blending flipped lectures and handson experiments provides instructional benefits, compared to traditional teaching (TT) and inverted lecturing (IL), in an introductory course in digital systems. Background: IL has proven more effective than TT in improving student learning in engineering courses, but has mostly been used for theory sessions. The impact of combining inverted lectures and hands-on experiments on student learning has not still been thoroughly assessed in engineering courses. Intended Outcomes: Attendance, marks, and satisfaction should improve for students in IL-based theory lectures, compared with those receiving TT, and should improve still further for students receiving the IIL-based method. Workload both for student and instructor should not increase significantly. Application Design: The three methods were compared in six consecutive offerings of the course. In the first two, TT was used for both theory and laboratory classes; in the next two, IL was used for theory lectures; and in the final two offerings the IIL-based scheme was used. The instructor, intended learning outcomes (ILOs), course syllabus, and student grading scheme were constant over the six semesters. A total of 184 students with similar backgrounds participated. Findings: Students under the ILand IIL-based frameworks were more engaged than those receiving TT, and were more satisfied with their learning process. The IIL-based learners achieved the deepest conceptual understanding. Finally, the ILand IILbased methods did not significantly increase workload for either the students or the instructor.
Published in: IEEE Transactions on Education ( Volume: 63, Issue: 3, August 2020)
Page(s): 144 - 154
Date of Publication: 24 December 2019

ISSN Information:

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Department of Electrical, Electronic, Automatic Control, and Communications, University of Castilla–La Mancha, Cuenca, Spain
Raúl Alcaraz received the Ph.D. degree in electronic engineering from the Universitat Politecnica de Valencia, Valencia, Spain, in 2008.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, University of Castilla–La Mancha, Cuenca, Spain. His research interests include biomedical signal processing, engineering education, and educational data mining.
Raúl Alcaraz received the Ph.D. degree in electronic engineering from the Universitat Politecnica de Valencia, Valencia, Spain, in 2008.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, University of Castilla–La Mancha, Cuenca, Spain. His research interests include biomedical signal processing, engineering education, and educational data mining.View more
Department of Computer Systems, University of Castilla–La Mancha, Cuenca, Spain
Arturo Martínez-Rodrigo received the Ph.D. degree in medical care research from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2013.
He is an Assistant Professor with the Department of Computer Science, UCLM. His research interests include biomedical signal processing, engineering education, and educational data mining.
Arturo Martínez-Rodrigo received the Ph.D. degree in medical care research from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2013.
He is an Assistant Professor with the Department of Computer Science, UCLM. His research interests include biomedical signal processing, engineering education, and educational data mining.View more
Department of Electrical, Electronic, Automatic Control, and Communications, University of Castilla–La Mancha, Cuenca, Spain
Roberto Zangróniz (M’03) received the Ph.D. degree in advanced computing technologies from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2019.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, UCLM. His research interests include design of wearable health devices, engineering education, and educational data mining.
Roberto Zangróniz (M’03) received the Ph.D. degree in advanced computing technologies from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2019.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, UCLM. His research interests include design of wearable health devices, engineering education, and educational data mining.View more
Electronic Engineering Department, BioMIT.org, Universitat Politecnica de Valencia, Valencia, Spain
José Joaquín Rieta (M’96) received the Ph.D. degree in biomedical signal processing from the Universitat Politecnica de Valencia, Valencia, Spain, in 2003.
He is a Full Professor with the Electronic Engineering Department, Universitat Politecnica de Valencia. His research interests include biomedical signal processing, engineering education, and educational data mining.
José Joaquín Rieta (M’96) received the Ph.D. degree in biomedical signal processing from the Universitat Politecnica de Valencia, Valencia, Spain, in 2003.
He is a Full Professor with the Electronic Engineering Department, Universitat Politecnica de Valencia. His research interests include biomedical signal processing, engineering education, and educational data mining.View more

Department of Electrical, Electronic, Automatic Control, and Communications, University of Castilla–La Mancha, Cuenca, Spain
Raúl Alcaraz received the Ph.D. degree in electronic engineering from the Universitat Politecnica de Valencia, Valencia, Spain, in 2008.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, University of Castilla–La Mancha, Cuenca, Spain. His research interests include biomedical signal processing, engineering education, and educational data mining.
Raúl Alcaraz received the Ph.D. degree in electronic engineering from the Universitat Politecnica de Valencia, Valencia, Spain, in 2008.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, University of Castilla–La Mancha, Cuenca, Spain. His research interests include biomedical signal processing, engineering education, and educational data mining.View more
Department of Computer Systems, University of Castilla–La Mancha, Cuenca, Spain
Arturo Martínez-Rodrigo received the Ph.D. degree in medical care research from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2013.
He is an Assistant Professor with the Department of Computer Science, UCLM. His research interests include biomedical signal processing, engineering education, and educational data mining.
Arturo Martínez-Rodrigo received the Ph.D. degree in medical care research from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2013.
He is an Assistant Professor with the Department of Computer Science, UCLM. His research interests include biomedical signal processing, engineering education, and educational data mining.View more
Department of Electrical, Electronic, Automatic Control, and Communications, University of Castilla–La Mancha, Cuenca, Spain
Roberto Zangróniz (M’03) received the Ph.D. degree in advanced computing technologies from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2019.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, UCLM. His research interests include design of wearable health devices, engineering education, and educational data mining.
Roberto Zangróniz (M’03) received the Ph.D. degree in advanced computing technologies from the University of Castilla–La Mancha (UCLM), Cuenca, Spain, in 2019.
He is an Associate Professor with the Department of Electrical, Electronic, Automatic Control and Communications, UCLM. His research interests include design of wearable health devices, engineering education, and educational data mining.View more
Electronic Engineering Department, BioMIT.org, Universitat Politecnica de Valencia, Valencia, Spain
José Joaquín Rieta (M’96) received the Ph.D. degree in biomedical signal processing from the Universitat Politecnica de Valencia, Valencia, Spain, in 2003.
He is a Full Professor with the Electronic Engineering Department, Universitat Politecnica de Valencia. His research interests include biomedical signal processing, engineering education, and educational data mining.
José Joaquín Rieta (M’96) received the Ph.D. degree in biomedical signal processing from the Universitat Politecnica de Valencia, Valencia, Spain, in 2003.
He is a Full Professor with the Electronic Engineering Department, Universitat Politecnica de Valencia. His research interests include biomedical signal processing, engineering education, and educational data mining.View more
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