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.