Nothing Special   »   [go: up one dir, main page]

skip to main content
editorial

Publish or Perish: Educational Content at a Crossroads

Published: 01 October 2009 Publication History

Abstract

It's not news that we're experiencing increasing change. The quantity of information available is growing astronomically, new offerings are increasingly quick to be copied, businesses are under pressure to do more with less, and the internet is a disruptive force, threatening all manner of content industries. Organizations have to become more nimble, more agile. Optimal execution is only the cost of entry, and organizations have to be tapping into continual innovation. Publishers are not exempt from this. There are major pressures coming in a variety of guises. Yet, surprisingly, we're seeing little innovation in products, services, or business models.

Cited By

View all
  • (2011)Bayes computation for ecological inferenceStatistics in Medicine10.1002/sim.421430:12(1381-1396)Online publication date: 22-Feb-2011

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image eLearn
eLearn  Volume 2009, Issue 10
October 2009
EISSN:1535-394X
DOI:10.1145/1626550
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2009
Published in ELEARN Volume 2009, Issue 10

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Editorial

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)447
  • Downloads (Last 6 weeks)26
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2011)Bayes computation for ecological inferenceStatistics in Medicine10.1002/sim.421430:12(1381-1396)Online publication date: 22-Feb-2011

View Options

View options

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

Full Access

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media