Computer-assisted evaluation - The next generation

American Biology Teacher

Volumn 61, Issue 7, 1999, Pages 514-522

  Palacio Cayetano, Joycelin ^b   Allen, Robert D ^b   Stevens, Ronald H ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033196276     PISSN: 00027685     EISSN: None     Source Type: Journal    
DOI: 10.2307/4450754     Document Type: Review

References (7)

1. Eisenhower Regional Consortia (1995). Promising practices in mathematics and science education-1995. U.S. Department of Education Office of Educational Research and Improvement, pp. 70-71.
2. Germann, P.L. (1989). The processes of biological investigations test. Journal of Research In Science Teaching, 26(7), 609-625.
3. Hurst, K.C., Casillas, A.M. & Stevens, R.H. (1997). Exploring the dynamics of complex problem-solving with artificial neural network-based assessment systems. (Center for Standards on Evaluation Technical Report). Los Angeles: University of California, National Center for Research on Evaluation, Standards, and Student Testing.
4. Palacio-Cayetano, J. (1997). Problem-solving skills in high school biology: The effectiveness of the IMMEX problem-solving assessment software. University of Southern California dissertation.
5. Palacio-Cayetano, J., Kanowith-Klein, S. & Stevens, R.H. (1999). UCLA's outreach program of science education in the Los Angeles schools. Academic Medicine, 74(4), 348-351.
6. Stevens, R.H., McCoy, J.M. & Kwak, A.R. (1991). Solving the problem of how medical students solve problems. Medical Computing, 8, 13-20.
7. Stevens, R.H., Lopo, A.C. & Wang, P. (1996). Artificial neural networks can distinguish novice from expert strategies during complex problem solving. Journal of American Informatics Association, 3, 13-38.