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Refining educational content through a closed-loop FLOW approach
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ACM SIGCSE Bulletin archive
Volume 40 ,  Issue 2  (June 2008) table of contents
REVIEWS: Reviewed papers table of contents
Pages 102-106  
Year of Publication: 2008
ISSN:0097-8418
Authors
David Poe  Oakland University, Rochester Hills, Michigan
Christine Hansen  Oakland University, Rochester, Michigan
Kellie McGowan  Oakland University, Rochester, Michigan
Gautam Singh  Oakland University, Rochester Hills, Michigan
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper describes the implementation of a system, called Foundational Learning Objects Workbench (FLOW), which is intended to be used by instructors to educate their students in the major principles of multidisciplinary fields at a variety of grade levels. FLOW functions by dividing the major topics in a field into modules. These modules cover a wide variety of topics and may be inserted into different courses, providing students with a basic understanding of the field in question. FLOW also possesses methods for assessing both students and the modules.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
BioFLOW: Bioinformatics Foundational Learning Objects Workbench, Oakland University, 2007. bioflow.secs.oakland.edu/FLOWWhitePaper.doc
 
2
Occupational Outlook Handbook (OOH), 2008--09 Edition, U.S. Bureau of Labor Statistics, Washington, DC, 2007.
 
3
Allinson, C., Armstrong, S. and Hayes, J. The effects of cognitive style on leader-member exchange: A study of manager-subordinate dyads. Journal of Occupational and Organizational Psychology, 74. 201--220.
 
4
Allinson, C. and Hayes, J. The Cognitive Style Index: A Measure of Intuition-Analysis for Organizational Research. Journal of Management Studies, 33 (1). 119--135.
 
5
Altschul, S. F., Gish, W., Miller, W., Myers, E. W. and Lipman, D. J. Basic Local Alignment Search Tool. Journal of Molecular Biology, 215 (3). 403--410.
 
6
Birney, E. Hidden Markov Models in Biological Sequence Analysis. IBM Journal of Research and Development, 45 (3/4). 449--454.
 
7
Cacioppo, J., Petty, R. and Kao, C. The Efficient Assessment of Need for Cognition. Journal of Personality Assessment, 48.
 
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Gribskov, M., McLachlan, A. D. and Eisenberg, D. Profile Analysis: Detection of Distantly Related Proteins Proceedings of the National Academy of Sciences, 84. 4355--4358.
 
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Hamosh, A., Scott, A. F., Amberger, J., Valle, D. and McKusick, V. A. Online Mendelian Inheritance In Man (OMIM). Human Mutation, 15 (1). 57--61.
 
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Hayes, J., Allinson, C. and Armstrong, S. Intuition, women managers and gendered stereotypes. Personnel Review, 33. 403--417.
 
11
Moore, S., O'Maidin, D. and McElligott, A. Cognitive styles among computer systems students: Preliminary findings. Journal of Computing in Higher Education, 14. 45--67.
 
12
Schuler, G., Epstein, J., Ohkawa, H. and Kans, J. Entrez: molecular biology database and retrieval system. Methods Enzymol, 266. 141--162.
 
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Collaborative Colleagues:
David Poe: colleagues
Christine Hansen: colleagues
Kellie McGowan: colleagues
Gautam Singh: colleagues