better learning through voting: using classroom response systems to improve student engagement and...

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Slides from the first portion of a workshop on classroom response systems (clickers) given to faculty at Ferris State University, 23 August 2013. Facilitated by Robert Talbert, PhD., Department of Mathematics, Grand Valley State University.

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Better learning through voting

Using classroom response systems to improve student engagement and

understanding

Ferris State University21 August 2013

Robert Talbert, PhDDepartment of Mathematics

Grand Valley State University

Monday, August 19, 13

Robert Talbert, PhD. Associate Professor, Mathematics Department, Grand Valley State University, Allendale, MIDad, nerd, runner, learner

talbertr@gvsu.edu | http://proftalbert.comTwitter: @RobertTalbert

Google+: http://gplus.to/rtalbertCasting Out Nines blog: http://chronicle.com/

blognetwork/castingoutnines

Monday, August 19, 13

Plan for the workshop

Monday, August 19, 13

Plan for the workshop

Part 1: What is a classroom response system and how can it be used in class?

10:00--10:30

Monday, August 19, 13

Plan for the workshop

Part 1: What is a classroom response system and how can it be used in class?

10:00--10:30

Part 2: Designing your own CRS questions10:30--11:00

Monday, August 19, 13

Plan for the workshop

Part 1: What is a classroom response system and how can it be used in class?

10:00--10:30

Part 2: Designing your own CRS questions10:30--11:00

Part 3: Show and tell11:00--11:30

Monday, August 19, 13

Plan for the workshop

Part 1: What is a classroom response system and how can it be used in class?

10:00--10:30

Part 2: Designing your own CRS questions10:30--11:00

Part 3: Show and tell11:00--11:30

Part 4: Q&A and next steps11:30--12:00

Monday, August 19, 13

Monday, August 19, 13

Effective teaching involves

Monday, August 19, 13

Effective teaching involves analyzing student knowledge

Monday, August 19, 13

Effective teaching involves analyzing student knowledge

in real time

Monday, August 19, 13

http://www.flickr.com/photos/barbourians/

Monday, August 19, 13

I’m talkative

http://www.flickr.com/photos/barbourians/

Monday, August 19, 13

I’m talkative

I’m shy/scared

http://www.flickr.com/photos/barbourians/

Monday, August 19, 13

I’m talkative

I’m shy/scaredI have contributions to make and things I

need to learn

http://www.flickr.com/photos/barbourians/

Monday, August 19, 13

Monday, August 19, 13

Wanted:

Monday, August 19, 13

Wanted: Simple method

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledge

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledgeand catching + repairing misconceptions

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledgeand catching + repairing misconceptions

from all students

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledgeand catching + repairing misconceptions

from all studentswithout freaking them out

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledgeand catching + repairing misconceptions

from all studentswithout freaking them out

in as close to real time as possible

Monday, August 19, 13

Wanted: Simple method

for collecting information about student knowledgeand catching + repairing misconceptions

from all studentswithout freaking them out

in as close to real time as possiblethat provides actionable data for teaching and learning

Monday, August 19, 13

Classroom response systems (CRS, “clickers”)

Monday, August 19, 13

120 1 2 3 4 5 6 7 8 9 10 11

1000

0

100

200

300

400

500

600

700

800

900

Time (t) [months]

Sale

s

At what time were this company’s

sales increasing at the fastest rate?

(a) t = 0(b) t = 3(c) t = 4(d) t = 6(e) t = 8(f) None of the above

Monday, August 19, 13

Types of CRS questions

See also Derek Bruff, Teaching with Classroom Response Systems

Monday, August 19, 13

Information gathering

Approximately how much of the reading for today’s class did you do?

(a) 0%(b) 1-25%(c) 26-50%(d) 51-75%(e) 75-99%(f) 100%

Monday, August 19, 13

Information recall

An infinite series in which any two consecutive terms have a common ratio is called (a) Convergent(b) Divergent(c) Geometric(d) Harmonic(e) Tectonic

Monday, August 19, 13

Information recall

An infinite series in which any two consecutive terms have a common ratio is called (a) Convergent(b) Divergent(c) Geometric(d) Harmonic(e) Tectonic

Monday, August 19, 13

Concept checking

The sequence

2, 2.1, 2.11, 2.111, 2.1111, . . .

(a) Converges, and I am sure

(b) Converges, but I am not sure

(c) Diverges, but I am not sure

(d) Diverges, and I am sure

Monday, August 19, 13

Concept checking

The sequence

2, 2.1, 2.11, 2.111, 2.1111, . . .

(a) Converges, and I am sure

(b) Converges, but I am not sure

(c) Diverges, but I am not sure

(d) Diverges, and I am sure

Monday, August 19, 13

Misconception catching

Suppose we are given the infinite series

a0 + a1 + a2 + a3 + a4 + · · ·

and we know that the terms ai are all positive and approach 0 as i ! 1. Then

(a) The series converges

(b) The series diverges

(c) No conclusion can be drawn about convergence/divergence of the series

based on this information alone

Monday, August 19, 13

Misconception catching

Suppose we are given the infinite series

a0 + a1 + a2 + a3 + a4 + · · ·

and we know that the terms ai are all positive and approach 0 as i ! 1. Then

(a) The series converges

(b) The series diverges

(c) No conclusion can be drawn about convergence/divergence of the series

based on this information alone

Monday, August 19, 13

Discussion starting

(b) Diverges

7. The series

1X

n=1

✓1

2

n+

1

n

(a) Converges

(b) Diverges

8. The series

1X

n=1

1

n(1 + lnn)

(a) Converges

(b) Diverges

9. The series

1X

n=1

✓1

2

n+

1

n

(a) Converges

(b) Diverges

Section 9.4

1. If an > bn for all n and

Pbn converges, then

(a)

Pan converges

(b)

Pan diverges

(c) Not enough information to determine convergence or divergence of

Pan

2. The best way to test the series

1X

n=1

lnn

nfor convergence or divergence is

(a) Looking at the sequence of partial sums

(b) Using rules for geometric series

(c) The Integral Test

(d) Using rules for p-series

(e) The Comparison Test

(f) The Limit Comparison Test

3. The series

1X

n=1

cos

2 n

n2+ 1

(a) Converges

(b) Diverges

4. The series

1X

n=1

(n�1.4+ 3n�1.2

)

(a) Converges

(b) Diverges

3

Monday, August 19, 13

Discussion starting

(b) Diverges

7. The series

1X

n=1

✓1

2

n+

1

n

(a) Converges

(b) Diverges

8. The series

1X

n=1

1

n(1 + lnn)

(a) Converges

(b) Diverges

9. The series

1X

n=1

✓1

2

n+

1

n

(a) Converges

(b) Diverges

Section 9.4

1. If an > bn for all n and

Pbn converges, then

(a)

Pan converges

(b)

Pan diverges

(c) Not enough information to determine convergence or divergence of

Pan

2. The best way to test the series

1X

n=1

lnn

nfor convergence or divergence is

(a) Looking at the sequence of partial sums

(b) Using rules for geometric series

(c) The Integral Test

(d) Using rules for p-series

(e) The Comparison Test

(f) The Limit Comparison Test

3. The series

1X

n=1

cos

2 n

n2+ 1

(a) Converges

(b) Diverges

4. The series

1X

n=1

(n�1.4+ 3n�1.2

)

(a) Converges

(b) Diverges

3

Monday, August 19, 13

Peer instruction

Brief presentation of concept

Conceptual question

Students vote using classroom response system

Debrief, address any remaining

misconceptions

Next topic

Peer discussion -- students argue for right answer + against wrong answers

Revisit concept

< 30% correct

30-75% correct

> 75% correct

Monday, August 19, 13

Data from MTH 227-01 and -02, 2013-02-25Matrix Operations and Matrix Inverses

Monday, August 19, 13

Data from MTH 227-01 and -02, 2013-02-25Matrix Operations and Matrix Inverses

Monday, August 19, 13

Data from MTH 227-01 and -02, 2013-02-25Matrix Operations and Matrix Inverses

Monday, August 19, 13

Data from MTH 227-01 and -02, 2013-02-25Matrix Operations and Matrix Inverses

Normalized gain = 1

Monday, August 19, 13

Data from MTH 227-01 and -02, 2013-02-25Matrix Operations and Matrix Inverses

Normalized gain = 1

Normalized gain = 0.42...?

Monday, August 19, 13

Monday, August 19, 13

I can make my voice heard, gauge my knowledge, and engage with the material

Monday, August 19, 13

I can make my voice heard, gauge my knowledge, and engage with the material

Me too

Monday, August 19, 13

I can make my voice heard, gauge my knowledge, and engage with the material

Me tooMe too

Monday, August 19, 13

I can make my voice heard, gauge my knowledge, and engage with the material

Me tooMe tooMe too

Monday, August 19, 13

I can make my voice heard, gauge my knowledge, and engage with the material

Me tooMe tooMe too

Me too

Monday, August 19, 13

End of Part 1

Next up: Designing your own clicker questions

Monday, August 19, 13

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