Title: What We Know
1What We Knowand What We Need to Know
Roy D. Pea Center for Innovations in
Learning Stanford University NCTET-2002 A
National Summit on Education Technology January
25, 2002
2Structure of the Talk
- Harnessing powers of technology for learning
- What have we discovered in the field?
- Need to move from fragmentary knowledge to
systemic understanding - Redefining the roles of research
- Focused on issues educators have
- Stronger designs for research
- Partnership projects with policy relevance
- Industry engagement
- Inventing the future of e-learning
3Megatrends setting the stage
- K-12 education
- Higher standards
- Increasing accountability and ESEA
reauthorization - Exceptional teacher workforce transformation
- Extraordinary policy and business attention
- Tech infrastructure, 10Bil E-Rate How to
leverage for learning? - Learning sciences research
- Research to guide advances in curriculum,
pedagogy, teacher learning, assessment - Partnership projects bridging theory and practice
- Industry
- Moores Law, Metcalfes Law
- Miniaturization, portability, cost, digital
convergence, bandwidth, ASPs - New platforms hand-helds, thin clients, wireless
networks - Rapid growth of E-learning industry, E-services
but no clear K-12 marketplace
4Power of technology to support learning
- Real-world contexts for learning
- Connections to experts and communities of
learners - Visualization and analysis tools
- Scaffolds for problem solving
- Opportunities for feedback, reflection revision
- Teacher learning
How People Learn (Bransford, Brown, Cocking,
Eds.) National Academy Press, 1999
5Many exciting and dramatic visions and results
from K-12 e-learning
- Virtual fieldtrips and inquiry quests teleport
students to remote places and engage learning - Teacher communities learning online together
about best practices - Learning environments leveraging scientific
understanding to improve access to reading - Student-scientist partnerships connect learners
to powerful tools and distributed models for
doing science and understanding the environment - Simulations and dynamic graphing tools bringing
calculus understanding to urban middle school
students - 11 E-Learning models offering teachers better
assessment information to guide instructional
practices
6What we have discovered in the field
- So technology can lead to learning improvements
but does it? - Mixed results and difficult to generalize across
thousands of studies (e.g., PCAST, SIIA, PITAC) - Hardware, software, and their pedagogical uses
vary tremendously across schools - Successful uses of technology typically
accompanied with other reforms and have their
consequences in the complex system of educational
practices and organizations - Rigorous longitudinal studies to document
isolated technology effects are rare since
expensive and difficult to implement
7Why? Technology is but part of a system
- Only one element in a coordinated, systemic
approach to educational improvement - Standards, curriculum, pedagogy, assessment,
teacher development, school culture and
school-home connections are fundamentally part of
any systemic change - and instrumental in the roles technology can
play and its likely effectiveness
8How learning is organized (Education Systems)
Content standards
Coherence across levels incentives
Instructional workforce capacity
Why people learn (Socio-cultural context)
How people learn (Cognition)
What people learn (Content)
(From Nora Sabelli, SRI International)
9What we dont know
- How to conditionalize our answers to educators
questions of how to make technology effective in
improving student learning, e.g., - By age and developmental level
- By subject matter and topic
- By classroom context, including many ESL learners
- By school culture
- By district, community, state contexts
- Expertise is defined in part by conditionalized
knowledge
10Our research answers are hard to adapt to
questions based in local situations
- Fragmentary research knowledge today requires the
implementers of technologies in educational
systems to figure out how to make them work in
local conditions - So far this is more craft than science
- We must make progress on the issues of scale for
powerful e-learning applications - Not only about numbers
- But the encompassing of diversity (learners,
teachers, schools) - And providing an enabling web services
infrastructure for ongoing adaptive learning
11Conceptual Framework for Analyzing Education with
Multi-Level Modeling
From R. Rumberger (2000)
12Research and practice connections
- 20 years on, how did we get to a state of so much
research on learning technologies that is so
weakly aligned with what we need? - Our problem is the model for how research relates
to practice
13Linear flow model
The usual means of knowledge transfer through
dissemination has rarely worked for bringing
research to bear broadly on practice
Source Donovan, M. S., Bransford, J. D.,
Pellegrino, J. (1999, June). (Eds.). How People
Learn Bridging Research and Practice.
Washington, DC National Academy Press.
(Co-author).
14(No Transcript)
15Reciprocity-of-influence model
Source Donovan, M. S., Bransford, J. D.,
Pellegrino, J. (1999, June). (Eds.). How People
Learn Bridging Research and Practice.
Washington, DC National Academy Press.
(Co-author).
16Soexpand use-relevant research
- Use-driven research vs. Curiosity-driven
- Need more focus on issues faced by educators
- Need greater relevance for policy and educator
decision-making - Need productive roles for industry partnership
and engagement - But also recognize values of different roles for
research in e-learning technologies pipeline - Exploratory and proof of concept, can lead to
creation of demand - Small-scale investigations
- Large-scale systemic studies in diverse settings
17Need for a strong national use-relevant
(actionable) research program
- No information system of database maintained
today, including the National Educational
Longitudinal Study (NELS), and the National
Assessment of Educational Progress (NAEP), has
the design and content adequate to answer vital
questions about technologys availability, use
and impacts on student learning. NAEPis flawed
as a data source for relating achievement to
technology availability and use (Haertel
Means, 2001).
18Making stronger use-relevant research
- Haertel Means (2000)
- Aggregated insights from ten research methodology
experts on national ed-tech RD improvement - Many called for arrangements where related
studies are conducted in test-bedsor networks
of sentinel schools - Aim to provide evidence of emerging trends and/or
offer sites that have agreed to participate in
sustained studies of the effects of technology - Called for intermediary organizations to review
existing research, identify research questions,
synthesize results, create templates for data
collection instruments, support local researchers
19Missing key infrastructure elements for stronger
research designs
- More meaningful assessment measures for 21st
century skills - Mechanisms like consortia, coordinated studies
sharing common measures, data collection
protocols, tools - Improve patterns of learning technology use by
mining use data from unobtrusive yet meaningful
measures, coupled to SIS
SRI Technology Evaluation Design Meeting Web
Site http//www.sri.com/policy/designkt/found.html
2021st Century Skills in Relation to Selected
Content and Technology Standards (Haertel
Means, 2000)
21(Quellmalz and Haertel, 2000)
22Vital need to support teacher learning
There is a national crisis in teacher
professional development -Glenn Commission, 1999
- Huge turnover and new workforce preparation
need2 Million new teachers needed by 2008-2009
(3.1 Mil today) - Increasingly accountable, but unprepared for new
standards and assessments, and technology use - Expand and deepen PT3 to support schools of
education in helping new teachers learn to use
technology effectively in the classroom - We need a deepening focus on uses of technology
to empower teacher learning - Video case studies of exemplary practice
- On-line communities of practice and mentoring
23Accelerate learning for school leaders
- Research indicates strong school leadership is a
key success factor in creating a productive
school culture for improving learning with
technology, including - Instructional vision and a rationale linking it
to technology use - Support for teacher time for planning,
collaboration and reporting technology use - Critical mass of teachers in technology
activities, with a high degree of collaboration - Technology access and technical support
- (Means and Olson, 1995 Becker, 2000)
24Make the learning enterprise reach beyond the
classroom
- Ubiquitous computing and communications enables
learning anytime anywhere - Extend engaged learning beyond the school day and
coordinate learning across boundaries - Informal contexts
- Museums
- Homes
- Community centers
- Gardens, parks
- Need multi-generational designs
25Inventing the Future of E-Learning
- Aim for 11 e-learning to high standards
- Portable digital learning portfolios for every
learner - E-Learning Workflow Management
- Need for real-time teacher performance support
tools that are coupled to SIS data-driven systems - Need ubiquitous broadband for highly interactive
visualization-intensive web services, video
sharing and services - Need new mechanisms for reciprocity of
influence in inventing the future of learning
across communities - Concept of LENS partnerships Learning
Expeditions in Networked Systems - Scout the frontiers of what is possible and
desirable, e.g. using Internet-2 capabilities,
handheld broadband services,
26Presidents Information Technology Advisory
Committee Report to the President (PITAC August
1998)
- Vision of Transforming the Way We Learn
- Any individual can participate in on-line
education programs regardless of geographic
location, age, physical limitation, or personal
schedule. Everyone can access repositories of
educational materials, easily recalling past
lessons, updating skills, or selecting from among
different teaching methods in order to discover
the most effective style for that individual.
Educational programs can be customized to each
individuals needs, so that our information
revolution reaches everyone and no one gets left
behind.
27Its not enough of a Grand Challenge
- Enabling this vision requires re-inventing
learning substantively, not only the HOW and WHEN
of learning - We will do better at re-inventing learning if we
heed the PITAC visions of transforming the ways
we - Communicate
- Deal with information (I/O)
- Work
- Design and build things
- Conduct research
- Deal with the environment
- Do commerce
- Each of these areas in society is spawning new
literacies and required skills for an informed
and proficient citizen. - Keeping education apace of the needed learning
curve is the Grand Challenge
28National Research Council Committee on
Improving Learning with Information Technologies
- Establish ongoing dialog and interactions among
the IT industries, learning sciences, and
educational communities toward improving
education for all learners through the
development and appropriate uses of modern
technology. - Find ways to incorporate the knowledge base,
research findings, and innovations from each of
these communities into more coherent, strategic
approaches to developing education technologies
and improvements in learning outcomes. - Establish ways to allow the end users of
technology in the education community to make
more strategic decisions about their purchase,
use, and maintenance of education technologies
and the kinds of professional development
programs that will be required to use education
technologies in ways that can effectively
transform teaching and learning for the new age.
29Whats possible within 5 years?
- Affordable, personal, portable gateways to
e-learning content and e-services (using
ASPs and wireless handhelds) - Fundamentally better real-time teaching and
assessment capabilities in classrooms - Continuous teacher professional development
30Thank you for your contributionsto improving
learning and teaching with technologies!