Policy & Governance


Supervised and Unsupervised Machine Learning Algorithms - Machine Learning Mastery

#artificialintelligence

In this post you will discover supervised learning, unsupervised learning and semis-supervised learning. Supervised and Unsupervised Machine Learning Algorithms Photo by US Department of Education, some rights reserved. You can use unsupervised learning techniques to discover and learn the structure in the input variables. You can also use supervised learning techniques to make best guess predictions for the unlabeled data, feed that data back into the supervised learning algorithm as training data and use the model to make predictions on new unseen data.


Love of anime prompts young Filipinos to pursue Japanese studies in select high schools

The Japan Times

The Filipino Department of Education started offering the Japanese language and culture program to high school students in 2009, together with Spanish and French, to prepare young Filipinos for both local and international opportunities that would require communicative competence in a second foreign language, after English. When the education department decided to introduce the Japanese program, it partnered with Japan Foundation Manila to train Filipino teachers, a task that proved challenging. Franza and Chee of Makati Science High School won third place, representing their school as a pair, during a Japanese quiz bee earlier this year. Agreeing that the program helps foster better relations between the Philippines and Japan, Education Secretary Briones said, "Young people connect to young people, everywhere.


Parsing Cal State's agenda, Betsy DeVos' school choice push, gun-free school zones: What's new in education today

Los Angeles Times

California State University's Board of Trustees are meeting Tuesday and Wednesday to discuss graduation rates, executive compensation and the budget shortfall. California State University's Board of Trustees are meeting Tuesday and Wednesday to discuss graduation rates, executive compensation and the budget shortfall. Parsing Cal State's agenda, Betsy DeVos' school choice push, gun-free school zones: What's new in education today California State University's Board of Trustees meets in downtown Long Beach on Tuesday and Wednesday. A private investigator is accused of using a recently shut down student financial aid Web tool to search for Trump's tax records.


What's AI, and what's not -- GCN

#artificialintelligence

Infosys CEO Vishal Sikka sums up AI as "any activity that used to only be done via human intelligence that now can be executed by a computer," including speech recognition, machine learning and natural language processing. The opposite end of the spectrum, sometimes called artificial general intelligence (AGI), refers to a "future AI system that exhibits apparently intelligent behavior at least as advanced as a person across the full range of cognitive tasks." In the meantime, the panel recommended the federal government explore ways for agencies to apply AI to their missions by creating organizations to support high-risk, high-reward AI research. Models for such an organization include the Defense Advanced Research Projects Agency and what the Department of Education Department has done with its proposal to create an "ARPA-ED," which was designed to support research on whether AI could help significantly improve student learning.


What's AI, and what's not -- GCN

#artificialintelligence

Infosys CEO Vishal Sikka sums up AI as "any activity that used to only be done via human intelligence that now can be executed by a computer," including speech recognition, machine learning and natural language processing. The opposite end of the spectrum, sometimes called artificial general intelligence (AGI), refers to a "future AI system that exhibits apparently intelligent behavior at least as advanced as a person across the full range of cognitive tasks." In the meantime, the panel recommended the federal government explore ways for agencies to apply AI to their missions by creating organizations to support high-risk, high-reward AI research. Models for such an organization include the Defense Advanced Research Projects Agency and what the Department of Education Department has done with its proposal to create an "ARPA-ED," which was designed to support research on whether AI could help significantly improve student learning.



Data Resources: Datasets Center for Data on the Mind

#artificialintelligence

Dataset from the U.S. Department of Education that includes various metrics on outcomes from degree-granting undergraduate institutions from 1996-2015, including student debt, college completion rates, job placement, and more


Microsoft Is Making Big Impact with Machine Learning @CloudExpo #IoT #Cloud #MachineLearning

#artificialintelligence

The company is making Cloud, Big Data, Machine Learning, and Analytics accessible to the government agencies. One of the first initiatives of its partnership with Microsoft resulted in an application that helps the state education department in predicting the school dropouts. Based on Azure Machine Learning, this tool processes complex data consisting of student performance, school infrastructure, and teacher skills to find meaningful patterns. This is enabling the state education department to intervene at the right time to reduce the number of dropouts.


Obama's Education Department Has a Flawed Plan for Student Debt Forgiveness

U.S. News

If a change is needed, it is of a different kind. The process through which students may petition for loan forgiveness may need to be streamlined and made clearer. If it acts at all, the Department of Education should redefine the current process and better communicate its availability to students. The new initiative, even if that is not its intention, has the potential to go too far because those who feed off society's productive activities – because that's where the money is – will take it there.


Supervised and Unsupervised Machine Learning Algorithms - Machine Learning Mastery

#artificialintelligence

In this post you will discover supervised learning, unsupervised learning and semis-supervised learning. Supervised and Unsupervised Machine Learning Algorithms Photo by US Department of Education, some rights reserved. You can use unsupervised learning techniques to discover and learn the structure in the input variables. You can also use supervised learning techniques to make best guess predictions for the unlabeled data, feed that data back into the supervised learning algorithm as training data and use the model to make predictions on new unseen data.