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Applying instructional design theories to bioinformatics education in microarray analysis and primer design workshops
Year:
2005
Source of publication :
Cell Biology Education
Authors :
Ophir, Ron
;
.
Volume :
4
Co-Authors:
Shachak, A., Department of Information Science, Bar-Ilan University, Ramat-Gan 52900, Israel
Ophir, R., Bioinformatics and Biological Computing Unit, Department of Biological Services, Weizmann Institute of Science, Rehovot, Israel
Rubinz, E., Bauer Center for Genomics Research, Harvard University, Cambridge, MA 02138, United States
Facilitators :
From page:
199
To page:
206
(
Total pages:
8
)
Abstract:
The need to support bioinformatics training has been widely recognized by scientists, industry, and government institutions. However, the discussion of instructional methods for teaching bioinformatics is only beginning. Here we report on a systematic attempt to design two bioinformatics workshops for graduate biology students on the basis of Gagne's Conditions of Learning instructional design theory. This theory, although first published in the early 1970s, is still fundamental in instructional design and instructional technology. First, top-level as well as prerequisite learning objectives for a microarray analysis workshop and a primer design workshop were defined. Then a hierarchy of objectives for each workshop was created. Hands-on tutorials were designed to meet these objectives. Finally, events of learning proposed by Gagne's theory were incorporated into the hands-on tutorials. The resultant manuals were tested on a small number of trainees, revised, and applied in 1-day bioinformatics workshops. Based on this experience and on observations made during the workshops, we conclude that Gagne's Conditions of Learning instructional design theory provides a useful framework for developing bioinformatics training, but may not be optimal as a method for teaching it. © 2005 by The American Society for Cell Biology.
Note:
Related Files :
bioinformatics
Conditions of learning
DNA Primers
Educational Technology
Gagne
Graduate
Review
Show More
Related Content
More details
DOI :
10.1187/cbe.04-11-0055
Article number:
Affiliations:
Database:
Scopus
Publication Type:
Review
;
.
Language:
English
Editors' remarks:
ID:
24989
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:11
Scientific Publication
Applying instructional design theories to bioinformatics education in microarray analysis and primer design workshops
4
Shachak, A., Department of Information Science, Bar-Ilan University, Ramat-Gan 52900, Israel
Ophir, R., Bioinformatics and Biological Computing Unit, Department of Biological Services, Weizmann Institute of Science, Rehovot, Israel
Rubinz, E., Bauer Center for Genomics Research, Harvard University, Cambridge, MA 02138, United States
Applying instructional design theories to bioinformatics education in microarray analysis and primer design workshops
The need to support bioinformatics training has been widely recognized by scientists, industry, and government institutions. However, the discussion of instructional methods for teaching bioinformatics is only beginning. Here we report on a systematic attempt to design two bioinformatics workshops for graduate biology students on the basis of Gagne's Conditions of Learning instructional design theory. This theory, although first published in the early 1970s, is still fundamental in instructional design and instructional technology. First, top-level as well as prerequisite learning objectives for a microarray analysis workshop and a primer design workshop were defined. Then a hierarchy of objectives for each workshop was created. Hands-on tutorials were designed to meet these objectives. Finally, events of learning proposed by Gagne's theory were incorporated into the hands-on tutorials. The resultant manuals were tested on a small number of trainees, revised, and applied in 1-day bioinformatics workshops. Based on this experience and on observations made during the workshops, we conclude that Gagne's Conditions of Learning instructional design theory provides a useful framework for developing bioinformatics training, but may not be optimal as a method for teaching it. © 2005 by The American Society for Cell Biology.
Scientific Publication
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