CogWrite Learning Analytics


Intelligent Systems for Authentic Learning, Instruction and Assessment.


Looking for the current Critical Thinking and
Argumentative Writing Challenge?

2017 Information sheet and sign-up form is here.



Seebeck Item Links are here.

Thanks to our ROC-affiliated volunteers for helping with the 2016 Challenge!

diagram of Galilean Moons from notes, 1610 and Starry Messenger

This item and this item are two discussions of the work of Galileo Galilei and his observations in early 1610 of the moons of Jupiter -- a favorite example of the power of evidence. A bit of evidence. An insight. Prediction. Validation. A new world becomes unavoidable.

Address:

5151 California Ave. STE 100, Irvine, CA 92617 -- Harry dot Layman at CogWrite dot com

Book a meeting or discussion with Harry here.

More info here




4 Ways to Tweak your data machine learning models - Dec 31, 2016

This note is a short piece that links to an interesting, clear and concise review of how bias and variance, and precision and recall, can point the way to improvements in existing prediction models.

Teleradiology firm announces $13 million investment for cloud-based imaging services - Aug 2, 2016

This piece in an industry publication points to the growth of both cloud-based medical services support and the ever-increasing use of medical imaging technology.

The Case for Machine Learning in Prescribing - Jan 18, 2016

This piece in an industry publication for healthcare executives offers some observations that may sound familiar. Although not a peer-reviewed journal article, the authors do cite an interesting study that documents how machine learning led to improved outcomes and lower costs.

AI Techniques Improving In Important, Enabling Ways - November 28, 2015

This piece in The New Yorker of (November 7, 2015) entitled "Google's New Autoreply Sounds Great!!!!" by Nicola Twilley illustrates improving AI capabilities under development at Google (and more generally elsewhere). As I read about the approach taken, it seems to me that across AI and Machine Learning in general, increasingly, the “vocabulary vectors” that drove the development of LSA techniques in the nineties [with text represented as vectors in a multi-dimensional vocabulary space] are morphing into semantic “thought vectors” which are beginning to allow representation of ideas in more abstract ways - creating new classes of tasks that AI engines may do with greater intelligence. This looks really useful, and directly applicable to my research.

AI Techniques Improving Medicine and Medical Outcomes - Sep 19, 2015

This piece in The Economist is part of a series on new uses of artificial intelligence. Work funded by the California HealthCare Foundation (CHCF) has applied the use of Machine Learning, and an ample supply of construct-relevant evidence (i.e., lots of image data), to the task of diabetic retinopathy diagnosis. The resulting Kaggle competition showed that machine learning can lead to higher quality diagnoses.

AI Techniques Improving Fine Wine Price Prediction - Aug 5, 2015

An audio piece in The Economist pointed to this research reported by University College London. With a good history of price and quality data, expert judgements, and their impact on price, could be judged. Could one interpretation be that price data in the marketplace suggest that "expert scoring" does not reflect actual consumer "scores" by consumers when "expert scoring" is not revealed? The details are interesting.

AI Techniques For Understanding Political Dynamics - Sep 15, 2015

If the very existance of Nate Silver and 538 weren't sufficient, this Economist piece shows how Big Data and Intelligent Systems are helping to understand shifts -- in this case to politic dynamics in California.

Very interested to read about TensorFlow. See here for more.

Seeing is Believing: Bringing Watson Image Analytics to Healthcare - October 19, 2015

This piece by By Shahram Ebadollahi on the "SmarterPlanet" web site is about brining AI and image analytics to Healthcare -- and relevant to IBM's recent acquisition of Merge Healtcare Incorporated and their massive image data bank.

Dysmorphology - Looking for answers, from The Economist - October 22, 2015

This piece, subtitled Face-recognition technology can diagnose developmental disorders from the Economist (October 10, 2015 print edition) highlights yet another way that artificial intelligence in the form of computer-based image analysis shows promise for use in diagnostic medicine.

On The Other Hands... The Economist Notes Data Science harbors a multiplicity of issues - October 24, 2015

This piece, subtitled Honest disagreement about methods may explain irreproducible results from the Economist (October 10, 2015 print edition) highlights how 30 groups of objective and esteemed scientists can look at the same "wodge" (great word!) of data and come to wildly different conclusions. Perhaps there is more to reproducing experimental results than lab technique... Excellent distillation of an issue.

Critical Thinking Resources from IBM.

This page is a gateway to Critical Thinking content on the "ThinkWatson" site. See also

Harry Layman: LinkedIn

Harry Layman's profile on LinkedIn is here. Harry's apps to help beginning readers (first or second language) with word recognition are here.


Mindstorm Tools: An Occasional Blog on technology, management, assessment and education.

The MindstormTools blog is here.

v2.9een 161231a 1.7 cn 151129b test

SGREL project here. Because rubrics.