Eisenhower Regional Consortia (1995). Promising practices in mathematics and science education—1995. U.S. Depart- ment of Education Office of Educational Research and Improvement, pp. 70-71.
Germann, P.L. (1989). The processes of biological investiga- tions test. Journal of Research In Science Teaching, 26(7), 609-625.
Journal of Research In Science Teaching
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.
Exploring the dynamics of complex problem-solving with artificial neural network-based assessment systems
Palacio-Cayetano, J. (1997). Problem-solving skills in high school biology: The effectiveness of the IMMEX problem- solving assessment software. University of Southern Califor- nia dissertation.
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.
Stevens, R.H., McCoy, J.M. & Kwak, A.R. (1991). Solving the problem of how medical students solve problems. Medical Computing, 8, 13-20.
Stevens, R.H., Lopo, A.C. & Wang, P. (1996). Artificial neural networks can distinguish novice from expert strat- egies during complex problem solving. Journal of American Informatics Association, 3, 13-38.
Journal of American Informatics Association
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