[on behalf of Min Chi]
[Apologies for cross-posting.....]
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CFP: Doctoral Consortium at the tenth Conference on Educational Data Mining
(EDM2017)
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***Jun 25-28th, 2017, Wuhan, China***
The Doctoral Consortium will take place during the EDM2017 conference.
Submissions will be accepted from now until April 1st through the online
system (https://easychair.org/conferences/?conf=edm2017). Details about
purpose, eligibility, organization, costs and funding follow below.
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Purpose
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The EDM Doctoral Consortium is designed to support emerging scholars in
learning analytics by helping them develop productive approaches to
studying the intersection of theory, data, and practice. The event will
bring together advanced Ph.D. students from a variety of disciplines
working on topics related to Educational Data Mining (EDM) who are
grappling with their dissertation research and a mentor panel of prominent
researchers in the field (particularly across the disciplinary areas of
learning sciences, data sciences, and human-computer interaction) help to
support participation in the analytics community by a cohort of young
scholars. Doctoral Consortium participants will be given the opportunity to
present, discuss, and receive feedback on their research in an
interdisciplinary and international atmosphere as well as be exposed to a
wide range of different EDM approaches, methods, and tools for acquiring
data about learners and their learning activities.
The intention of this doctoral consortium is to support and inspire
advanced Ph.D. students during their ongoing research efforts. Therefore,
applicants should already be working on a specific research project but
should not have completed their degree nor officially submitted their
thesis prior to the doctoral consortium (July 2017).
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Costs / Funding
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Students attending the Doctoral Consortium should be registered for the
general EDM conference. Depended on the pending funding approval, a stipend
could potentially be given to accepted students that covers the cost
conference registration plus an additional amount to defray the cost of
travel conditioned on the funding approval.
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Submission
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In order to apply to the Doctoral Consortium, student applicants will need
to submit the following information:
A 3 pages summary of your research that includes the following:
-- A 150 word abstract
-- Brief background of the project and identification of the significant
problem(s) in the field the project addresses
-- Goals of the research and a clear formulation of the research question
-- An outline of the current knowledge of the problem domain and state of
existing solutions
-- A discussion of how the Ph.D. project’s suggested solution is different,
new, or better as compared to existing approaches to the problem
-- A sketch of the research methodology and identification of core methods
/ techniques used
-- Current status of the work and any preliminary results achieved so far
(Note that the 3-page limit includes all tables, figures, references etc.)
Upload the 3- page summary as the primary conference submission document
(“Paper”). Please also provide keywords in the indicated field so that we
can assign appropriate reviewers to your submission.
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Reviewing Process
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Applications will be reviewed with the goal of selecting participants who
reflect individual excellence, interesting projects, and strong motivation
while at the same time contributing to the workshop objectives and the
aggregate diversity of the cohort. Proposals will be reviewed by the
Doctoral Consortium co-chairs and additional Program Committee members as
needed. Participants will be selected on the basis of the academic quality
of their proposal; relevance and potential contribution to the EDM field.
We specifically seek applicants whose work is conceptually motivated and
uses EDM to provide direction for understanding and supporting learning
processes and outcomes.
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Timeline
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Submission deadline: April 1st, 2017
Notification of acceptance: May 3rd, 2017
Doctoral Consortium: June 25-28th, 2017
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Organizing Committee
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- Min Chi, NC State University
- Mingyu Feng, SRI International
