Develop a range of instructional and assessment methods and test preparation methods. Instruction Linda Gojakformer NCTM President, noted that "Over the last three decades a variety of instructional strategies have been introduced with a goal of increasing student achievement in mathematics.
He lived in tents for an extended period with his father before embarking on a seven-year project to build a geodesic dome home that he helped design.
At NMSU, he took graduate-level courses; he received a grant from the National Science Foundation to study mathematical notation, which led him to learn computer programming. Lanier also attended art school in New York during this time, but returned to New Mexico and worked as an assistant to a midwife.
The free time enabled him to concentrate on his own projects, including VPL, a "post-symbolic" visual programming language. Along with Zimmerman, Lanier founded VPL Researchfocusing on commercializing virtual reality technologies; the company prospered for a while, but filed for bankruptcy in The Initiative demonstrated the first prototypes of tele-immersion in after a three-year development period.
He was also visiting scholar with the Department of Computer Science at Columbia University —a visiting artist with New York University 's Interactive Telecommunications Programand a founding member of the International Institute for Evolution and the Brain.
While transistor count increases according to Moore's lawoverall performance rises only very slowly. According to Lanier, this is because human productivity in developing software increases only slightly, and software becomes more bloated and remains as error-prone as it ever was.
Code can't keep Investigative technology review and critique essay with processing power now, and it never will. Post-symbolic communication [ edit ] Some of Lanier's speculation involves what he calls "post-symbolic communication. Lanier sees this behavior, especially as exchanged between two octopodes, as a direct behavioral expression of thought.
The Hazards of the New Online Collectivism ", in Edge magazine in MayLanier criticized the sometimes-claimed omniscience of collective wisdom including examples such as the Wikipedia article about himself, which he said recurrently exaggerates his film directing workdescribing it as "digital Maoism ".
This critique is further explored in an interview with him on Radio National 's The Philosopher's Zonewhere he is critical of the denatured effect which "removes the scent of people". I wonder if some aspect of human nature evolved in the context of competing packs.
We might be genetically wired to be vulnerable to the lure of the mob. What's to stop an online mass of anonymous but connected people from suddenly turning into a mean mob, just like masses of people have time and time again in the history of every human culture?
It's amazing that details in the design of online software can bring out such varied potentials in human behavior. It's time to think about that power on a moral basis. Lanier argues that the search for deeper information in any area sooner or later requires that you find information that has been produced by a single person, or a few devoted individuals: He criticizes Wikipedia and Linux as examples of this problem; Wikipedia for what he sees as: Lanier also argues that there are limitations to certain aspects of the open source and content movement in that they lack the ability to create anything truly new and innovative.
For example, Lanier argues that the open source movement didn't create the iPhone. In another example, Lanier further accuses Web 2. Lanier further argues that the open source approach has destroyed opportunities for the middle class to finance content creation, and results in the concentration of wealth in a few individuals—"the lords of the clouds"—people who, more by virtue of luck rather than true innovation, manage to insert themselves as content concentrators at strategic times and locations in the cloud.
His comments brought on rebukes from industry and artists knowledgeable of the standard and suggestions that Lanier published his comments merely as bait for debate[ citation needed ].
By convincing users to give away valuable information about themselves in exchange for free services, firms can accrue large amounts of data at virtually no cost. Lanier calls these firms "Siren Servers," alluding to the Sirens of Ulysses.
Instead of paying each individual for their contribution to the data pool, the Siren Servers concentrate wealth in the hands of the few who control the data centers. For example, he points to Google's translation algorithm, which amalgamates previous translations uploaded by people online, giving the user its best guess.
The people behind the source translations receive no payment for their work, while Google profits from increased ad visibility as a powerful Siren Server.
In another example, Lanier points out that inKodak employedpeople when it led the digital imaging industry.Music, Film, TV and Political News Coverage.
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