It seems questionable whether providing U.S. homes and schools with 20-30 gigahertz of capacity would accomplish much, since most lack terminal devices … Personal computers are not predominantly found in inner-city, low-income residences or schools. Indeed, most U.S. public schools have a difficult time in supporting enough technology to teach the fundamentals of computing.
Predictor: Botein, Michael
Prediction, in context:In a 1993 paper in reaction to the National Telecommunications and Information Administration’s proposed goals, New York Law School Professor Michael Botein writes:”It seems questionable whether providing U.S. homes and schools with 20-30 gigahertz of capacity would accomplish much, since most lack terminal devices … Less than 20 percent of U.S. homes have personal computers, and that number has not increased dramatically over the last few years. By contrast, penetration of VCRs increased from 1 percent in the early 1980s to more than 80 percent today. More significant, personal computers are not predominantly found in inner-city, low-income residences or schools. Indeed, most U.S. public schools have a difficult time in supporting enough technology to teach the fundamentals of computing.”
Biography:Michael Botein was founding director of the Communications Media Center at New York University Law School. His expertise in international telecommunications law, the regulation of cable television and new technologies made him a valuable consultant to the FCC and the Administrative Conference of the United States. He wrote “International Telecommunications in the United States” (1987) and “Cases and Materials on Regulation of the Electronic Mass Media” (2002). (Legislator/Politician/Lawyer.)
Date of prediction: January 1, 1993
Topic of prediction: Getting, Sharing Information
Subtopic: E-learning
Name of publication: Some Unanswered (and Unasked) Questions About U.S. 'Electronic Superhighways'
Title, headline, chapter name: A Few Simple Questions, with Few Good Answers
Quote Type: Direct quote
Page number or URL of document at time of study:
http;//web.lexis-nexis.com/universe/document?-m=1d42675a009942cca236934d0ad13920...
This data was logged into the Elon/Pew Predictions Database by: Bradshaw, Lindsay