[edm-announce] CFP: 3rd Annual Learning Science Workshop: Research and Innovation for Enhancing Achievement and Equity

From: Stephen Fancsali <sfancsali@xxxxxxxxx>
To: edm-announce@xxxxxxxxxxxxx
Date: Tue, 1 Apr 2014 16:58:12 -0400

[on behalf of Michael Bett]

Please share this with your colleagues and appropriate mailing lists.
Deadline for applying is May 15, 2014.

Call for Participation

/3rd Annual Learning Science Workshop/

*/Research and Innovation for Enhancing Achievement and Equity/*

/June 14-15/

/Carnegie Mellon University/

/Pittsburgh PA/

*Applications Due May 15, 2014*
*No Cost To Attend*

Overview

LearnLab, an NSF Science of Learning Center (SLC) at Carnegie Mellon and
the University of Pittsburgh, has an exciting summer research
opportunity available to early career researchers in the fields of
psychology, education, computer science, human-computer interfaces and
language technologies.

The workshop is targeted to senior graduate students, post-docs and
early career faculty. The workshop seeks broad participation, especially
members of underrepresented groups as defined by NSF (African American,
Hispanic, Native American) who may be considering a research or faculty
position in the learning sciences.

This two-day workshop immediately precedes the LearnLab Summer School
(www.learnlab.org/opportunities/summer/
<http://www.learnlab.org/opportunities/summer/>).Our workshop theme is
the/research and innovation for enhancing achievement and
equity,/including these five areas:

·*Enhancing Achievement through Educational Technology and Data
Mining.*Using domain modeling, and large datasets to discover when
learning occurs and to provide scaffolding for struggling students. See
www.learnlab.org/research/wiki/index.php/Computational_Modeling_and_Data_Mining
<
http://www.learnlab.org/research/wiki/index.php/Computational_Modeling_and_Data_Mining
>.**

·*21st Century Skills, Dispositions, and Opportunities.*Re-examining the
goals of education and assessment and considering transformative changes
in how and where learning occurs.**

·*Opening Classroom Discourse*.Studying how classroom talk contributes
to domain learning and supports equity of learning opportunity.See
LearnLab's Social-Communicative Factors
thrustwww.learnlab.org/research/wiki/index.php/Social_and_Communicative_Factors_in_Learning
<
http://www.learnlab.org/research/wiki/index.php/Social_and_Communicative_Factors_in_Learning
>.

·*Course-Situated Research*.Running principle-testing experiments while
navigating the complex waters of real-world
classrooms.Seewww.learnlab.org/research/wiki/index.php/In_vivo_experiment<http://classrooms.seewww.learnlab.org/research/wiki/index.php/In_vivo_experiment>
<http://www.learnlab.org/research/wiki/index.php/In_vivo_experiment>.

·*Motivation Interventions for Learning.*Implementing theory based
motivational interventions to target at risk populations to improve
robust student learning. See
http://www.learnlab.org/research/wiki/index.php/Metacognition_and_Motivation

The substantive focus of the workshop is the use of current research and
innovations to enhance achievement and equity at all levels of learning.
Activities will include demonstrations of the diverse set of ongoing
learning sciences research projects at LearnLab, and
poster presentations or talks by participants. Participants will also
meet with LearnLab faculty in research groups and various informal
settings. We will provide information about becoming a part of the
Carnegie Mellon or University of Pittsburgh learning science community.

In addition to these substantive themes, the workshop will provide
participants with opportunities for professional development and the
chance to gain a better understanding of the academic career ladder.
These include mentoring that focuses on skills, strategies and "insider
information" for career paths. Sessions will include keynote speakers
and LearnLab senior faculty discussing professional development topics
of interest to the attendees. These may include the tenure and promotion
process, launching a research program, professionalism, proposal
writing, among other topics. There is no cost to attend this workshop

We are very pleased to announce that the workshop will have two
distinguished keynote speakers:

*Dr. Tawanna Dillahunt*is a Presidential Postdoctoral Fellow at the
University of Michigan's School of Information. Her research interests
are in the areas of human-computer interaction, ubiquitous computing,
and social computing. She is primarily interested in identifying needs
and opportunities to further explore how theories from the social
sciences can be used to design technologies that have a positive impact
on group and individual behavior. With the narrowing of the digital
divide, the ubiquity of smart devices and mobile hotspots in common
places in the U.S. (e.g., libraries, community centers, and even
McDonald's) she sees an urgent need to explore the use of these
technologies for those that stand the most to gain from these resources.
Therefore, her research targets the use of these technologies among
people in disadvantaged communities. Results from her past studies in
the environmental sustainability domain suggest that improved
communication provides individual community members with access to new
information and helps to resolve common problems. Dr. Dillahunt plans to
continue to apply her past research techniques to clarify and
potentially meet the needs of disadvantaged, and often understudied
communities in environmental and economic sustainability, and in other
domains such as education and health. Her goal is to design and enhance
innovative technologies to solve real-world problems.

She holds a M.S. and Ph.D. in Human-Computer Interaction from Carnegie
Mellon University, a M.S. in Computer Science from the Oregon Graduate
Institute School of Science and Engineering (now a part of the Oregon
Health and Science University in Portland, OR), and a B.S. in Computer
Engineering from North Carolina State University. She was also a
software engineer at Intel Corporation for several years.

*Dr. Charles Isbell*is a Senior Associate Dean and Professor in the
School of Interactive Computing in the College of Computing at Georgia
Institute of Technology. Dr. Isbell's research passion is artificial
intelligence. In particular, he focuses on applying statistical machine
learning to building autonomous agents that must live and interact with
large numbers of other intelligent agents, some of whom may be human.

Lately, Dr. Isbell has turned his energies toward adaptive modeling,
especially activity discovery (as distinct from activity recognition);
scalable coordination; and development environments that support the
rapid prototyping of adaptive agents. As a result he has begun
developing adaptive programming languages, worrying about issues of
software engineering, and trying to understand what it means to bring
machine learning tools to non-expert authors, designers, and developers.

Dr. Isbell earned his M.S. and Ph.D. from MIT and his B.S. in Computer
Science from Georgia Tech in 1990.

About LearnLab

LearnLab is funded by the National Science Foundation (award number
SBE-0836012).Our center leverages cognitive theory and computational
modeling to identify the instructional conditions that cause robust
student learning.Our researchers studyrobust learning
<http://learnlab.org/research/wiki/index.php/Robust_learning>by
conductingin vivo experiments
<http://learnlab.org/research/wiki/index.php/In_vivo_experiment>in math,
science and language courses. We also support collaborative primary and
secondary analysis of learning data through our open data
repositoryLearnLab DataShop
<http://learnlab.org/technologies/datashop/index.php>, which provides
data import and export features as well as advanced visualization,
statistical, and data mining tools.

To learn more about our cognitive science theoretical framework, read
ourKnowledge-Learning-Instruction Framework
<http://www.learnlab.org/documents/KLI-Framework.pdf>.

The results of our research are collected in ourtheoretical wiki
<http://www.learnlab.org/research/wiki/index.php/Main_Page>which
currently has over 400 pages. It also includes a list ofprinciples of
learning
<
http://www.learnlab.org/research/wiki/index.php/Instructional_Principles_and_Hypotheses
>which
are supported by learning science research. The wiki is open and freely
editable, and we invite you to learn more and contribute.

Application Process

Applicants should email their CV,this demographic form
<http://www.learnlab.org/opportunities/demographics.doc>, a proposed
presentation title and abstract, and a brief statement describing their
research interests to Jo Bodnar (jobodnar@xxxxxxxxxx
<mailto:jobodnar@xxxxxxxxxx>) by May 15, 2014. Please use the
subject*/Application for LearnLab Summer Workshop 2014./*Upon
acceptance*,*we will let you know if you have been selected for a talk
or poster presentation.

Costs

There is no registration fee for this workshop.However, attendance is
limited so early applications are encouraged.Scholarships for travel are
available.Scholarships will be awarded based on your application,
including your research interests, future plans, and optional
recommendation letter.

Important Dates

·May 15 Application Deadline

·May 29 Notification of Acceptance

·June 14-15 Workshop held at Carnegie Mellon University in Pittsburgh

[edm-announce] CFP: 3rd Annual Learning Science Workshop: Research and Innovation for Enhancing Achievement and Equity

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