$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Reducing Barriers to Teaching Novice Learners H...
Search
Mine Cetinkaya-Rundel
August 05, 2024
Education
0
78
Reducing Barriers to Teaching Novice Learners How to Code -- In three “easy” steps
Mine Cetinkaya-Rundel
August 05, 2024
Tweet
Share
More Decks by Mine Cetinkaya-Rundel
See All by Mine Cetinkaya-Rundel
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
0
85
Leveraging LLMs for student feedback in introductory data science courses (useR! 2025)
minecr
0
29
The Future of Statistics Education: A Computational Perspective (DSC)
minecr
0
62
Leveraging LLMs for Student Feedback in Introductory Data Science Courses
minecr
0
94
The Future of Statistics Education: A Computational Perspective
minecr
0
55
Help from AI
minecr
0
44
The Future of Statistics Education: A Computational Perspective
minecr
0
75
Statistics in the Age of Data Science - TSU
minecr
0
68
Statistics in the age of Data Science
minecr
0
60
Other Decks in Education
See All in Education
東大1年生にJulia教えてみた
matsui_528
7
11k
NUTMEG紹介スライド
mugiiicha
0
540
The knowledge panel is your new homepage
bradwetherall
0
220
仏教の源流からの奈良県中南和_奈良まほろば館‗飛鳥・藤原DAO/asuka-fujiwara_Saraswati
tkimura12
0
170
JavaScript - Lecture 6 - Web Technologies (1019888BNR)
signer
PRO
0
3.1k
子どものためのプログラミング道場『CoderDojo』〜法人提携例〜 / Partnership with CoderDojo Japan
coderdojojapan
PRO
4
17k
Padlet opetuksessa
matleenalaakso
9
15k
HCI Research Methods - Lecture 7 - Human-Computer Interaction (1023841ANR)
signer
PRO
0
1.2k
令和エンジニアの学習法 〜 生成AIを使って挫折を回避する 〜
moriga_yuduru
0
180
附属科学技術高等学校の概要|Science Tokyo(東京科学大学)
sciencetokyo
PRO
0
3k
Node-REDで広がるプログラミング教育の可能性
ueponx
1
220
コマンドラインを見直そう(1995年からタイムリープ)
sapi_kawahara
0
600
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
73
11k
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
120
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
220
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
63
Digital Ethics as a Driver of Design Innovation
axbom
PRO
0
130
A better future with KSS
kneath
240
18k
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
0
94
Optimizing for Happiness
mojombo
379
70k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.7k
The Spectacular Lies of Maps
axbom
PRO
1
390
We Are The Robots
honzajavorek
0
110
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.7k
Transcript
Mine Çetinkaya-Rundel Duke University Reducing Barriers to Teaching Novice Learners
How to Code In three “easy” steps
Let them eat cake first! Photo credit: Jessie Pearl on
Flickr, CC BY-NC 2.0.
When I “do” data analysis
When I “do” data analysis get data
When I “do” data analysis get data clean data
When I “do” data analysis get data clean data visualize
data
When I “do” data analysis get data clean data visualize
data bake cake
When I “do” data analysis get data clean data visualize
data bake cake mise-en-place
When I “do” data analysis get data clean data visualize
data bake cake mise-en-place go shopping
When I “teach” data analysis
When I “teach” data analysis visualize data bake cake
When I “teach” data analysis clean data mise-en-place visualize data
bake cake
When I “teach” data analysis clean data mise-en-place visualize data
bake cake get data go shopping
start on day one 1
None
None
None
None
None
None
None
None
continue on day n N
None
None
None
Mess around and find out! Photo credit: ethekwinigirl on Flickr,
modified to black & white, CC BY-NC 2.0.
prompt ‣ Explicitly provide opportunities to mess around
Make room for little bits of creativity
Make room for little bits of creativity
Make room for little bits of creativity
Make room for giant leaps of creativity . . .
prompt ‣ Explicitly provide opportunities to mess around ‣ Showcase
yourself messing around in “semi”- structured live coding sessions
prompt ‣ Explicitly provide opportunities to mess around ‣ Showcase
yourself messing around in “semi”- structured live coding sessions ‣ Then make time to showcase yourself cleaning up after yourself
prompt ‣ Explicitly provide opportunities to mess around ‣ Showcase
yourself messing around in “semi”- structured live coding sessions ‣ Then make time to showcase yourself cleaning up after yourself ‣ Expose them to each others’ creativity
safeguard
safeguard ‣ Coding, where you can’t mess with the raw
data
safeguard ‣ Coding, where you can’t mess with the raw
data ‣ In well-designed computatonal environments
safeguard ‣ Coding, where you can’t mess with the raw
data ‣ In well-designed computatonal environments ‣ In reproducible computational documents
safeguard ‣ Coding, where you can’t mess with the raw
data ‣ In well-designed computatonal environments ‣ In reproducible computational documents ‣ With version control
Keep the streak going! Photo by Charlein Gracia on Unsplash.
abc
always be coding
always be coding ‣ Daily live coding
always be coding ‣ Daily live coding ‣ Daily application
exercises
always be coding ‣ Daily live coding ‣ Daily application
exercises ‣ Weekly deliverables
always be coding ‣ Daily live coding ‣ Daily application
exercises ‣ Weekly deliverables ‣ Motivating rewards
thank you!