9:00 am - Introduction to Day 2
9:15 am - Google Tools technical workshop - Padmaja Surendranath (http://www.linkedin.com/in/padysuren) BI Instructor, Logi Analytics
Tired of sharing your google docs on google spreadsheets. Come learn how to build a simple dashboard using Google. Along the way you will learn how to create charts using your data, how merge different datasets and in general, make your data analysis easier - all using Google tools.
Padmaja offers professional development courses/workshops on data management and leads the design and implementation of Learning Analytics projects Through her consulting agency, Edventor (http://www.edventor.com/) Inc.
Required: A laptop that can run Google Drive & a Google account (https://accounts.google.com/signup). No prior programming skills needed. Basic Excel skills might be helpful
10:15 am - Emotional Measurement Lab - Garron (https://www.linkedin.com/pub/garron-hillaire/1/168/8ab)
In this lab we will review the state of research and technology for emotional measurement in learning analytics. 1) Briefly discuss the Measuring and Understanding Learner Emotions: Evidence and Prospects (http://www.laceproject.eu/publications/learning-analytics-and-emotions.pdf) produced by the Learning Analytics Community Exchange (LACE (http://www.laceproject.eu/)). 2)Briefly talk about The neurobiology of emotion–cognition interactions: fundamental questions and strategies for future research from the open journal Frontiers (http://www.frontiersin.org/). 3) Review a variety of technologies for measuring emotion and discuss the various strengths and challenges providing code snippets to interface with APIs and conduct sentiment analysis referencing challenges in measure non-cognitive skills outlined in Measurement Matters: Assessing Personal Qualities Other Than Cognitive Ability for Educational Purposes (http://edr.sagepub.com/content/44/4/237.full.pdf+html?ijkey=hixxiPxVRpaxg&keytype=ref&siteid=spedr).
Looking at Eyeris - https://www.mashape.com/eyeris/emovu-1
Example of NLP used from - https://github.com/amueller/odscon-2015
resources about cross validation
For Scikit learn cross validation documentation seehttp://scikit-learn.org/stable/modules/cross_validation.html
See pages[masked] to understand more about cross validating the datahttp://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf
11:00 am - Lightning Talks (unconference style - attendees can share out what they are doing here. Just talk to Garron on Day 1 or at the beginning of Day 2 to participate)
11:15 am - Python for Educational Data Mining and Learning Analytics - Al Essa & Shirin Mojarad
12:15 pm - Break for Lunch
1:15 pm - BYOS/R - Bring Your Own Simulation and Rubric - Rapid development of auto-scored authentic performance tasks - Doug Stein CTO, metacog
2:00 pm - Panel discussion on Learning Analytics in the wild! - Chair Skip Stahl, Michael Connell