1. Using IMMEX as an Alternative to Laboratory Exams Charlie Cox, Presenter Melanie M. Cooper Ron Stevens Rebecca Pease Valerie Smith

2. What is IMMEX? Internet - Based Software Designed at UCLA Medical School Case - Based Problems

3. IMMEX Problems Prolog Problem Space HTML Tracking Ability Dialog Boxes

4. Prolog Screen Shot

5. Problem Space

6. Search Path Maps

7. Assessment Techniques Artificial Neural Networks Hidden Markov Modeling Item Response Theory

8. Artifical Neural Networks Pattern Recognition Groups similar strategies Represented using Nodes

9. Node Description Problem Space Item PROBABILITYPROBABILITY Background Flame, Solubility, Conductivity Litmus HCl, NaOH Precipitins

10. 6 x 6 Node Description

11. Hidden Markov Models Predictive Modeling More simplistic than nodes Described using five states

12. Hidden Markov Models (HMMs)

13. Item Response Theory Separates latent abilities from item characteristics. Model:

14. Laboratory Problems Separation Hazmat TLC Finding Carbons Neighbors Spectra Analysis

15. Separations

16. Solved Separation

17. Finding Carbons Neighbors Chemical Tests Physical Tests Library

18. Chromatography Challenge Unknown identification based upon TLC analyses.

19. Spectra Analysis 1 H, 13 C, IR, and MS data is available for students to elucidate an unknown’s structure.

20. 1 H NMR Spectra

21. Other Features 1.Example Spectra a. Benzaldehyde b. 2-butanone c. Benzene d. Butylamine e. Propionic Acid 2.Correlation Tables 3. Library

22. Implementation Second semester organic laboratory. Used as part of the laboratory practical (50%) Students are told to answer 4 cases correctly with a guessing penalty.