Learning Technology

Computing technology plays an increasingly important role in the advancement of education through computational models, reasoning, experimentation, and implementation of mobile and ubiquitous pedagogical software. Computation is also growing as a basis for education in core ideas as well as simulations and data management. Learning Technology will influence computing research funding strategies in all these areas, with the intention of accelerating improvement in education at all levels.

learning technology

Immediate topics of interest include: partnerships, services, and tools for learning based on improved understanding of human cognition; improved human-computer interaction for individual productivity (e.g. incorporating human speech and gesture); networking, mobile and ubiquitous computing to support collaboration and create seamless social learning; predictable and robust repositories of learning services and assessment tools; and enhanced software and hardware for personal computer literacy. This process will also address such issues as the business case for education, strategies for distributed intelligence that can be coordinated into common learning activities, means for blending real and virtual worlds, and open questions about how people learn.

"A Roadmap for Learning Technology" Final project report now available for downloading

Immediately following two workshops convened by the Learning Technology Project on the future of educational technology (Tempe Arizona and Brighton England—see headings below for further details), a working document, "A Roadmap for Learning Technology," was prepared. The initial release of the Roadmap document was developed from "trends reports" prepared early in the project period by the group coordinators and from preliminary reports prepared by the contributors at the two workshops. Over the course of the project period, with additional content and copy editing provided by project team members and others, the Roadmap document emerged as the basis and substance of the Learning Technology Project Report.

The final version of "A Roadmap for Learning Technology," as well as related and supporting documents are now available via the links below.



Multidisciplinary Research for Online Education

February 11-12, 2013; Washington, DC

Workshop: Forum on the Future of Educational Technology

July 4-5, 2009; Thistle Brighton Hotel; Brighton, England

Workshop: Future of Educational Technology

April 23-26, 2009; Tempe, Arizona (Arizona State University)



Full Report

- [Roadmap for Learning Technology - Final Report.pdf]

Summary Brochure

- [Roadmap for Learning Technology - Summary Brochure.pdf]

Slides of Dr. Beverly Woolf's Presentation

- [Roadmap for Learning Technology - Slides.pdf]

Supporting Documents

- [Social Learning - Suthers at al - - April 2009 Workshop.pdf]
- [Assessment - Shute et al - April 2009 Workshop.pdf]
- [Intelligent Environments - Van Lehn et al - April 19 Workshop.pdf]
- [Intelligent Environments - Bredeweg et al - Brighton July 2009 Forum.pdf]
- [Social Learning and Gaming - Luckin et al - Brighton July 2009 Forum.pdf]
- [Preamble on Policy - King et al - April 2009 Workshop.pdf]
- [Rich Interfaces - Burleson et al - from April 2009 Workshop.pdf]


Participants of the Learning Technology project:

Ivon Arroyo, University of Massachusetts
Paul Bacsich, Sero Consulting
Ryan Baker, Worcester Polytechnic Institute (Group Coordinator, Data Mining and Management)
Amy Baylor, National Science Foundation
Joseph Beck, Worcester Polytechnic Institute
Gautam Biswas, Vanderbilt University
Kristy Boyer, North Carolina State University
Bert Bredeweg, University of Amsterdam (Group Coordinator, Intelligent Systems)
Winslow Burleson, Arizona State University (Group Coordinator, Rich Interfaces)
John Carney, Carney, Inc.
Robert Christopherson, Arizona State University
David Cooper, University of Massachusetts
Albert Corbett, Carnegie Mellon University
Sharon Derry, University of Wisconsin at Madison
Toby Dragon, University of Massachusetts
Art Graesser, University of Memphis
Camilla Jensen, Arizona State University
Lewis Johnson, Alelo, Inc.
Ian Jones, University of Nottingham
Judy Kay, University of Sydney
Henry Kelly, Federation of American Scientists
John King, University of Michigan (CCC Liaison; Group Coordinator, Policy)
Dave Kuntz, Pragmatic Solutions
Chad Lane, University of South Carolina, Institute for Creative Technologies
James Lester, North Carolina State University
Roy Levy, Arizona State University
Diane Litman, University of Pittsburgh
Rose Luckin, London Knowledge Lab (Group Coordinator, Social Learning)
Manolis Mavrikis, London Knowledge Lab
Kasia Muldner, Arizona State University
Chris Quntana, University of Michigan
Sowmya Ramachandran, Stottler Henke Associates Inc
Nora Sabelli, SRI International
Mark Schlager, Microsoft Research
Valerie Shute, Florida State University (Group Coordinator, Assessment)
Daniel Suthers, University of Hawaii at Manoa (Group Coordinator, Social Learning)
Michael Timms, WestEd
Emma Tonkin, UKOLN, University of Bath (Group Coordinator, Mobile Learning)
Jody Underwood, Pragmatic Solutions
Kurt VanLehn, Arizona State University (Group Coordinator, Intelligent Systems)
Susan Winter, National Science Foundation
Burt Woolf, University of Massachusetts (Project Assistant)
Beverly Woolf, University of Massachusetts (Principal Investigator)
Diego Zapata, Educational Testing Service