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IMMEX Problems Prolog Problem Space HTML Tracking Ability Dialog Boxes
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Using IMMEX as an Alternative to Laboratory Exams
Charlie Cox, PresenterMelanie M. Cooper
Ron StevensRebecca PeaseValerie Smith
What is IMMEX?
• Internet - Based Software• Designed at UCLA Medical School• Case - Based Problems
IMMEX Problems
• Prolog• Problem Space• HTML Tracking Ability• Dialog Boxes
Prolog Screen Shot
Problem Space
Search Path Maps
Assessment Techniques
Artificial Neural Networks
Hidden Markov Modeling
Item Response Theory
Artifical Neural Networks
• Pattern Recognition• Groups similar strategies• Represented using Nodes
Node Description
0
0.2
0.4
0.6
0.8
1
1.2
Problem Space Item
PROBABILITY
Background
Flame, Solubility,Conductivity
Litmus
HCl,NaOH
Precipitins
6 x 6 Node Description
Hidden Markov Models
• Predictive Modeling• More simplistic than nodes• Described using five states
Hidden Markov Models (HMMs)
Item Response Theory
• Separates latent abilities from item characteristics.
• Model:
€
logP(xj=1P(xj=0 ⎛ ⎝ ⎜ ⎜ ⎞
⎠ ⎟ ⎟=θ−bj
Laboratory Problems
• Separation• Hazmat• TLC• Finding Carbons Neighbors• Spectra Analysis
Separations
Solved Separation
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Finding Carbons Neighbors
• Chemical Tests• Physical Tests• Library
Chromatography Challenge
• Unknown identification based upon TLC analyses.
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Spectra Analysis
• 1H, 13C, IR, and MS data is available for students to elucidate an unknown’s structure.
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1H NMR Spectra
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Other Features
1. Example Spectra a. Benzaldehyde b. 2-butanone c. Benzene d. Butylamine e. Propionic Acid2. Correlation Tables3. Library
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.
