Embed Size (px)
Citation preview
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 1
Dr. Eva Ponce, Executive Director, MITx MicroMasters in SCM
Interventions to increase learner engagement
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 2
MITx MicroMasters in SCM
Earth by Wuppdidu from the Noun Project
webinar by Danil Polshin from the Noun Project
Award by Rockicon from the Noun Project
online courses by Adrien Coquet from the Noun Project
1,592
Credentials granted
196 Countries Represented
280k Learners Enrolled
18K Learners Verified
Since 2014…
29 Massive Online Courses
4 Proctored Final Exams
Proctored Final Exam
CFx
28,231
Certificates Issued
40
MIT grad
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 3
Our approach…
•Our main motivation is to provide the best learning experience through innovation and continuous improvement.
•Our goal is to help learners to complete and succeed in a MOOC and in a MicroMastersprogram.
•Our research project: The dropout problem.
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 4
The dropout problemIn 2018 we ran 10 SCx courses, with 9,713 verified learners
Icon1: Agarunov Octay-Abraham| thenounproject.com
Icon2: Maxim Kulikov| thenounproject.com
0
500
1000
1500
2000
2500
3000
3500
SC0x SC1x SC2x SC3x SC4x
Verified learners in 2018
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 5
The dropout problemIn 2018 we ran 10 SCx courses, with 9,713 verified learners, 32% dropped out
Icon1: Agarunov Octay-Abraham| thenounproject.com
Icon2: Maxim Kulikov| thenounproject.com
0
500
1000
1500
2000
2500
3000
3500
SC0x SC1x SC2x SC3x SC4x
Verified learners in 2018
Completed Dropped out
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 6
From zombies to learners
Submit HWs
Watch videos
Do not watch videos
Do not submit HWs
85%Voyeurs 10%
Zombies 5%
Learners
Magicians ~0%
Icon eye: David Padrosa | thenounproject.comIcon zombie: Alex Auda Samora | thenounproject.comIcon stick: Sergey Demushkin | thenounproject.comIcon hat: Numero Uno | thenounproject.com
30% dropout
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 7
How to solve it?Descriptive Analytics
Predictive Analytics
Interventions
Feedback
31.07% 26.40%
6.15%7.28%
5.83%3.34%
5.18%2.43%
30.74%42.49%
2017 2018
Other
IT
FR
CN
SG
BR
MX
CA
DE
ES
IN
US
Continuous Improvement
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 8
#1. Improve challenging contents in SC1x #2. Increase difficulty progressively in SC1x
#4. Provide prep materials#3. Boost learners’ confidence in SC1x
New lesson – New graded assignments
Clearer structure - Key concepts reinforced
Effect on dropout
0% 1% 2% 3% 4% 5% 6%
3T
2T
1T
% of verified who dropped in Week 7
Effect on dropout
0% 2% 4% 6% 8% 10%
3T
2T
1T
% of verified who dropped in Midterm
1T 2T 3T
A
B
T1: Key topics T2: Recitation videos
B
A
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 9
Takeaways
•Current challenges:§ How to reduce dropout in MOOCs/ MM Program§ How to better engage learners in MOOCs/MM Program
• Lessons learned from the interventions:§ Course redesign – More effective § Students emails – No impact
•Next steps:§ Course survey – Reasons
• It takes a village!
© 2019 MIT Center for Transportation & Logistics| mm.mit.edu/scm | April 30 | Page 10
Eva Ponce - [email protected] | Sergio Caballero - [email protected] | Inma Borrella - [email protected]
Thank You!
