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Connectivism is a theoretical framework for understanding learning in a digital age. It emphasizes how internet technologies such as web browsers, search engines, wikis, online discussion forums, and social networks contributed to new avenues of learning.
By the 1990s, there was demand for a direct rail link between Midtown Manhattan and John F. Kennedy International Airport. [7] In 1990, the Metropolitan Transportation Authority (MTA) proposed a $1.6 billion rail link to LaGuardia and JFK airports, which would be developed by the Port Authority of New York and New Jersey (PANYNJ) and funded jointly by agencies in the federal, state, and city ...
A Service Learning Project at Butam organized by MaxPac Travel for Catholic Junior College students. January 15, 2009. Tay Yong Seng. Service-learning is an educational approach that combines learning objectives with community service in order to provide a pragmatic, progressive learning experience while meeting societal needs.
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The Triborough Bridge and Tunnel Authority (TBTA), doing business as MTA Bridges and Tunnels, is an affiliate agency of the Metropolitan Transportation Authority that operates seven toll bridges and two tunnels in New York City. The TBTA is the largest bridge and tunnel toll agency in the United States by traffic volume.
Metro-North Railroad (reporting mark MNCW), [8] trading as MTA Metro-North Railroad, is a suburban commuter rail service operated by the Metropolitan Transportation Authority (MTA), a public authority of the U.S. state of New York.
For historical reasons some universities (the ancient universities of England and Scotland) do not fully adhere to the Framework (particularly with respect to the title of Master of Arts), and degrees in medicine, dentistry, and veterinary medicine are titled as bachelor's degrees despite being at master's level.
There is a close connection between machine learning and compression. A system that predicts the posterior probabilities of a sequence given its entire history can be used for optimal data compression (by using arithmetic coding on the output distribution). Conversely, an optimal compressor can be used for prediction (by finding the symbol that ...