Elon University
The prediction, in brief:

Today, we struggle to teach print literacy to people. What will the world be like when information literacy skills are needed in addition? Experts in communication today would be hard-pressed to even define Web information literacy, much less be prepared to create curriculum for a variety of educational contexts.

Predictor: December, John

Prediction, in context:

In a 1994 article for Computer-Mediated Communication magazine, John December writes: ”If the Web becomes a major form of communication for government, commerce, and education, how can we assure that everyone has access to it? Access is more than just physical – it means not only having the ability to use the hardware and software to access the Web, but having the knowledge (information literacy) to make use of the content. Today, we struggle to teach print literacy to people. What will the world be like when information literacy skills are needed in addition? Experts in communication today would be hard-pressed to even define Web information literacy, much less be prepared to create curriculum for a variety of educational contexts. At the same time, Web communication is here, and those who are skilled can take advantage of it.”

Biography:

John December’s publications include articles and books about the World Wide Web, Internet and Java. From 1985 to 1989, he developed software and graphical user interfaces to analyze aircraft requirements for military missions at Boeing. He later became president of December Communications, an online Web-publishing, presentations, and consulting company based in Milwaukee, Wis. (Research Scientist/Illuminator.)

Date of prediction: January 1, 1994

Topic of prediction: Controversial Issues

Subtopic: Digital Divide

Name of publication: Computer-Mediated Communication Magazine

Title, headline, chapter name: Challenges for a Webbed Society

Quote Type: Direct quote

Page number or URL of document at time of study:
http://www.december.com/cmc/mag/1994/nov/websoc.html

This data was logged into the Elon/Pew Predictions Database by: Walsh, Meghan