Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb...

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Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3 , Alex Edgcomb 1,3 , and Roman Lysecky 2,3 1 Dept. of Computer Science and Engineering, Univ. of California, Riverside 2 Dept. of Electrical and Computer Engineering, Univ. of Arizona 3 Also with zyBooks.com Copyright © 2015 Frank Vahid and Alex Edgcomb, UC Riverside. 1 of 9

Transcript of Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb...

Page 1: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Students Learn More with Less Text that Covers the Same Core Topics

Frank Vahid1,3, Alex Edgcomb1,3, and Roman Lysecky2,3

1Dept. of Computer Science and Engineering, Univ. of California, Riverside2Dept. of Electrical and Computer Engineering, Univ. of Arizona

3Also with zyBooks.comCopyright © 2015 Frank Vahid and Alex Edgcomb, UC Riverside. 1 of 9

Page 2: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Design adage

Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.

-Antoine de Saint-Exupery, 1939

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Page 3: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Perfection when nothing to take away

1960 1980 2000 2010 20200

2000400060008000

10000120001400016000

f(x) = 85.0595044 exp( 1.11285885 x )R² = 0.914242867532233

Annual cost of healthcare per person

Annual cost of healthcare per person

Exponential (Annual cost of healthcare per person)

Year

U.S

. Dol

lars

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1960 1980 2000 2010 20200

5000

10000

15000

Annual cost of healthcare / person

Year

$ U

.S.

Page 4: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Normal text vs. minimal text

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Page 5: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Reactions

Page 6: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Minimizing text

• IS NOT watering down / lowering standards– IS conveying same ideas with minimal words/letters.

Reducing is hard• Methods– Avoid extra words / phrases– Declarative sentences, subject/verb/object

• Before: There is another method that is also very helpful when searching for items on the web, namely the method of using quotes.

• After: Quotes also help during search.

– Move text to tables when appropriate– (And use animations / learning questions / etc. – other work)

Page 7: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Text on same topic

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Page 8: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Experiment setup• Text styles:– Normal: 1,255 words– Minimal: 211 words

• Study:1. Pre-quiz2. Lesson (random text style; same topic)

3. Post-quiz4. Survey

• Participants: 168 CS0 students

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Page 9: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Results

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Pre-lesson Post-lesson Improvement0

1

2

3

4

5

6

7

8

9

10

4.0

5.1

1.1

4.1

6.5

2.4

Normal text

Minimal text

Scor

e

(Max)

Normal text Minimal text p-value

Lesson was right length 3.8 4.8 < 0.001

Liked writing style 3.0 4.3 0.03

Students preferredminimal text

p-value < 0.001

Page 10: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Web: Rethink conveying

• Traditional: Text and figures

• Web: Animations, learning questions, tinker tools, simulators, much more, text, and figures

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Page 11: Students Learn More with Less Text that Covers the Same Core Topics Frank Vahid 1,3, Alex Edgcomb 1,3, and Roman Lysecky 2,3 1 Dept. of Computer Science.

Conclusion

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• Students learned more with less text than normal text • Building web-native, interactive textbooks [1]

Digital DesignComputing Technology for All Material and Energy and Balances

[1] zyBooks. www.zybooks.com. Oct. 2015.

We are grateful for support of this research by the NSF and Google.