12 04 15_aera_11_12_01_nae_aet
DESCRIPTION
Pea, R. (2012, April 15). The promise of learning about learning with adaptive educational technologies. Invited paper for symposium: "Global Perspectives on New Technologies and Learning" of the World Educational Research Association (Eva Baker, Chair). Annual Meetings of the American Educational Research Association, Vancouver BC, Canada.TRANSCRIPT
The Promise of Learning about Learning with Adaptive Educational
Technologies
Roy Pea
Stanford University
AERA 2012, April 15
Pea, R. (2012, April 15). The promise of learning about learning with adaptive educational technologies. Invited paper for symposium: "Global Perspectives on New Technologies and Learning" of the World Educational Research Association (Eva Baker, Chair). Annual Meetings of the American Educational Research Association, Vancouver BC, Canada.
http://fednet.net/nae120111/
Context• What research opportunities are possible using these
data?
• What kinds of analyses have researchers conducted using such data and what has been learned?
• What more is needed to develop research in this area?
• What are the costs and benefits of using such data for research?
• What kind of organizational supports would be needed from developers if data were used for research and program improvement?
• What other accommodations might be needed for researchers (e.g., to ensure confidentiality of data, allow data to be processed statistically, etc.)?
Examples
How can such technologies become trusted metacognitive resources, providing
valuable feedback and guidance to learners, teachers, and other
stakeholders?
(1) By expanding learner profile meta-data
(2) By expanding our data sources for
inferences about learning and its
conditions
• Greater contextualization of
learning
• Capturing learner-perceptible aspects of
environments
• Capturing uses of written language and
other symbolic systems
(3) By expanding our sense-making
techniques for gauging learning and its
conditions
(4) By expanding access to our learner data
systems to the learner
(5) By expanding learner access to data about
their own performances in relation to others
(6) By providing large-scale testbeds to do experimentation in
comparative pedagogy
• To refine theories of learning progressions
• To theorize about more and less effective forms of
feedback and guidance during learning activities
for different learner profiles and contexts
• To explore how to exploit social networks of learners to
build social capital for learning