LRMI Survey Report: August 2013 Update. Results from surveys of educators and publishers conducted in February 2013 reveal dramatically increased awareness of the LRMI among publishers since a similar survey conducted in April 2012. Survey responses indicate that educators find current online search methods time consuming and are frustrated by large numbers of irrelevant results. They want to be able to conduct more targeted, efficient searches to find materials to meet specific learning needs. Publishers, meanwhile, seek improved online discoverability for their products.
EASE Campaign Delivers Insight to Improve Online Search for Education. The Association of Educational Publishers (AEP) organized the month-long Easy Access and Search for Education (EASE) campaign in October 2012 to offer educators a platform to voice their concerns, frustrations, and suggestions regarding the online search experience. This report and infographic summarizes the comments and sentiments collected during the campaign.
Big Data for Education: Data Mining, Data Analytics, and Web Dashboards by Darrell M. West, The Brookings Institution, September 2012. This report examines the potential for improved research, evaluation, and accountability through data mining, data analytics, and Web dashboards.
The Future of Big Data by Janna Anderson and Lee Rainie, Pew Research Center, July 2012. Experts say new forms of information analysis will help people be more nimble and adaptive, but worry over humans’ capacity to understand and use these new tools well, according to this report.
LRMI Survey Report: July 2012. Results from surveys of educators and publishers conducted by the Association of Educational Publishers (AEP) in April 2012 reveal that both communities see a need for improving online education search, and there is general consensus on the filters most important to successful searches: subject area, grade level, and standards alignment.
Big Data’s Mass Appeal: A Special Report. This report from The Chronicle of Higher Education, published in June 2012, covers various aspects of big data in higher education.