ACM Home Page
Please provide us with feedback. Feedback
Context as Support for Learning Computer Organization
Full text PdfPdf (148 KB)
Source Journal on Educational Resources in Computing (JERIC) archive
Volume 8 ,  Issue 3  (October 2008) table of contents
Article No. 8  
Year of Publication: 2008
ISSN:1531-4278
Authors
Allison Elliott Tew  Georgia Institute of Technology
Brian Dorn  Georgia Institute of Technology
William D. Leahy, Jr.  Georgia Institute of Technology
Mark Guzdial  Georgia Institute of Technology
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 35,   Downloads (12 Months): 390,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1404935.1404937
What is a DOI?

ABSTRACT

The ubiquity of personal computational devices in the lives of today's students presents a meaningful context for courses in computer organization beyond the general-purpose or imaginary processors routinely used. This article presents results of a comparative study examining student performance in a conventional organization course and in one that has been contextualized using a personal gaming platform as the pedagogical architecture. We find minimal differences in student learning but significant motivation and engagement gains for those in the contextualized course.


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
AAUW. 2000. Tech-Savvy: Educating Girls in the New Computer Age. American Association of University Women Educational Foundation, Washington, DC.
2
 
3
Anastasi, A. and Urbina, S. 1997. Psychological Testing, 7th ed. Upper Saddle River, NJ: Prentice Hall.
 
4
Anderson, J. R. and Bower, G. H. 1973. Human associative memory. Washington, DC: Winston and Sons.
5
6
 
7
Bransford, J. D., Brown, A. L., and Cocking, R. R. 2000. How People Learn: Brain, Mind, Experience, and School. Exp. ed. Washington, DC: National Academy Press.
 
8
Bruer, J. 1993. Schools for thought: A science of learning in the classroom. MIT Press, Cambridge, MA.
9
 
10
Fleiss, J. L., Levin, B., and Paik, M. C. 2003. Statistical methods for rates and proportions, 3rd ed. Hoboken, NJ: John Wiley & Sons.
 
11
 
12
Forte, A. and Guzdial, M. 2005. Motivation and nonmajors in computer science: Identifying discrete audiences for introductory courses. IEEE Transactions on Education, 48, 2, 248--253.
 
13
Gay, L. R. and Airasian, P. W. 2000. Selection of measuring instruments. In Educational research: Competencies for analysis and application, 6th ed., Upper Saddle River, NJ: Merrill. 147--198.
 
14
15
 
16
 
17
Kolodner, J. L. 1997. Educational implications of analogy. American Psychologist, 52, 1, 57--66.
 
18
Margolis, J. and Fisher, A. 2002. Unlocking the Clubhouse: Women in Computing. Cambridge, MA: MIT Press.
 
19
Papert, S. 1991. Situating constructionism. In Constructionism: Research reports and essays, 1985-1990, I. Harel and S. Papert, eds. Norwood, NJ: Ablex. 1--11.
 
20
 
21
22
 
23
Pintrich, P. R. and Schunk, D. H. 1996. Motivation in education: Theory, research, and applications. Englewood Cliffs, NJ: Prentice Hall.
 
24
 
25
26
 
27
Vygotsky, L. S. 1978. Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard Univ. Press.
 
28
Wilensky, U. 1991. Abstract meditations on the concrete and concrete implications for mathematics education. In Constructionism, eds. I. Harel and S. Papert. Norwood, NJ: Ablex. 193--204.
 
29
Wood, D., Bruner, J., and Ross, G. 1976. The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry and Allied Disciplines, 17, 89--100.
30
31

Collaborative Colleagues:
Allison Elliott Tew: colleagues
Brian Dorn: colleagues
William D. Leahy, Jr.: colleagues
Mark Guzdial: colleagues