going from raw data to impactful predictions
TRANSCRIPT
Educational Data Mining/ Learning Analytics Organizer: Aybuke Gul Turker
Join us on LinkedIn http://bit.ly/1LE677b
New York City’s own data science community conference
October 2 2015 10am – 6pm Google, NYC (111 8th Avenue)
Free conference
Visit us at www.datapoint.nyc or Follow us @datapointnyc Registra8on is now open. Very limited spots.
Featured speakers include : Murli Buluswar (Chief Science officer at AIG), Catherine Williams (Chief Data ScienQst at AppNexus),
Slav Petrov (Research ScienQst at Google), Amen Ra Mashariki (Chief AnalyQcs Officer, City of NewYork)
Dataiku is the developer of Data Science Studio Our mission: provide companies with the tools they need to carry out data driven projects more efficiently
Recent use of Data Science Studio worldwide
Dataiku in a few words
A bit of history…
January 2013 Incorporation of Dataiku
February 2014 Version 1.0 of DSS 10 clients including Parkeon and PagesJaunes
January 2015 20 employees, 30 clients First investment Version 1.4 of DSS
April 2015 Version 2.0 of DSS Office opened in New York
December 2015 50 employees 80 clients
hTps://courses.edx.org/courses/course-‐v1:TeachersCollegeX+BDE1x+2T2015
The emerging research communiQes in educaQonal data mining and learning analyQcs are developing methods for mining and modeling the increasing amounts of fine-‐grained data becoming available about learners. In this class, you will learn about these methods, and their strengths and weaknesses for different applicaQons.
Applica;ons
Have you used python before? Do you know what machine learning is? Have fit a random forest?
About the Audience Quick Survey
Unsupervised Learning Basic Concepts
Learning Latent Variables Clustering
Latent Variable
ObservaQon
ObservaQon
Bayesian Knowledge Tracing
Learned Not Learned
1
QuesQon 1 Correct
P(T)
QuesQon 1 Incorrect
P(G) P(S)
• Godwin, K.E., Almeda, M.V., Petroccia, M., Baker, R.S., Fisher, A.V. (2013) Classroom activities and off-task behavior in elementary school children. Poster paper. Proceedings of the Annual Meeting of the Cognitive Science Society, 2428-2433.
• Pardos, Z.A., Baker, R.S.J.d., San Pedro, M.O.C.Z., Gowda, S.M., Gowda, S.M. (2013) Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes. Proceedings of the 3rd International Conference on Learning Analytics and Knowledge, 117-124.
• Baker, R.S.J.d., Moore, G., Wagner, A., Kalka, J., Karabinos, M., Ashe, C., Yaron, D. (2011) The Dynamics Between Student Affect and Behavior Occuring Outside of Educational Software. Proceedings of the 4th bi‐annual International Conference on Affective Computing and Intelligent Interaction.
Sources BDE1x Big Data in Education