## Themes

reveal.js comes with a few themes built in:
Black (default) - White - League - Sky - Beige - Simple
Serif - Night - Moon - Solarized

We can choose how we teach. We have to teach in a way that is fun.
Dr. Sue Rigby
``````
from __future__ import division
import random
class Drop():
def __init__(self, r=1):
self.x = (.5 - random.random()) * 2 * r
self.y = (.5 - random.random()) * 2 * r
self.incircle = (self.y) ** 2 + (self.x) ** 2 <= (r) ** 2

N = 10000
print 4 * len([k for k in range(N) if Drop().incircle]) / N
``````

## Class meeting

### Completion of ticks

Fight Club
@1neilcoles
Active learning increases student performance in science, engineering, and mathematics
Freeman et al. 2014
Other-rated personality and academic performance: evidence and implications
Poropat et al. 2015
@Imogen_Dunne
1. Agreeableness
2. Extraversion
3. Neuroticism
4. Conscientiousness
5. Openness1
6. Openness2
``````
Call:
lm(formula = Average_Mark_Other_Modules ~ Conscientiousness,
data = Factors_with_marks)

Residuals:
Min      1Q  Median      3Q     Max
-31.566  -8.448   1.575   8.652  31.377

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept)         62.668      1.345   46.60   <2e-16 ***
Conscientiousness    3.075      1.366    2.25   0.0271 *
``````
``````
Call:
lm(formula = CfM_Total ~ Openness1, data = Factors_with_marks)

Residuals:
Min      1Q  Median      3Q     Max
-35.128  -7.733   0.497  10.046  22.899

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept)   78.225      1.448  54.025  < 2e-16 ***
Openness1      4.474      1.533   2.918  0.00458 **
``````

## So what?

1. Scaffolding.
2. Interest.
3. Perhaps: this pedagogic approach incentives deep learning.

## Focus groups

I think itâ€™s just a module that you get out of it what you put in, so all of us round this table, clearly put plenty in.
Tutor I

## Summary

• Large flipped class.
• Research in to effect of personality of performance.
• Not leaving anyone behind.