CLASS-L Archives

February 2014

CLASS-L@LISTS.SUNYSB.EDU

Options: Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Vitomir Kovanovic <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Wed, 12 Feb 2014 03:21:00 -0800
Content-Type:
multipart/alternative
Parts/Attachments:
text/plain (7 kB) , text/html (13 kB)
Call for participation


2nd Learning Analytics Summer Institutes (LASI 2014)


Madrid, Spain, June 30 – July 2, 2014

http://www.solaresearch.org/events/lasi-2/lasi2014/



Organized by the Society of Learning Analytics Research (SoLAR) in
cooperation with the Center for Virtual Education (CSEV) and the Spanish
National University of Distance Education (UNED) and with assistance of the
International Educational Data Mining Society (IEDMS).


Important dates

- Application for participation: March 5, 2014

- Notification of acceptance: March 31, 2014





Introduction



Learning Analytics as both a research topic and emerging marketplace has
recently received attention of faculty, educational researchers and
administrators, policy makers, data scientists and learning technology
entrepreneurs. Unprecedented quantity of, and access to, learner-generated
data has opened up new opportunities, for instance, for researchers to
better understand how learners learn, for educators to assess the impact of
teaching activities and interventions, and for learners to receive
personalized, real-time, automated support for their learning advancements.



Learning Analytics (LA) as a field is related to disciplines such as
educational data mining, machine learning, information visualisation and
computer science in general, various branches of psychology, learning
sciences, psychometrics, and systems theory.  LA aspires to integrate
cognitive, social, pedagogical, technical, and organizational components to
advance a holistic view of learners and their learning processes.
Cross-disciplinary research, publications, and documented socio-technical
systems, designs and algorithms are important for advancing these goals.



For the past four years, the Society for Learning Analytics Research
(SoLAR) has hosted open online courses, the international LAK conference
and national meet-ups, initiated a distributed research lab for PhD
students, and established the Journal of Learning Analytics. During this
timeframe, researchers from learning sciences, computer supported
collaborative learning, and related disciplines have found research
affinity with the emerging LA field.



Leading international universities have initiated programs and enacted
strategies to use LA to improve learner success and organizational
efficiency. Numerous schools have adopted personalization and adaptive
learning systems to support learners. Corporations and start-ups have also
turned their focus to learning analytics, resulting in numerous entrants
into the LA market.



This bricolage of research, intersecting fields of study, and corporate
activity has created an exciting, albeit sometimes confusing, landscape for
academics, PhD students, and the diverse users of LA products and projects





Summer Institutes



A critical window of opportunity is opening as we stand on the threshold of
what may be a new discipline with disruptive potential for educational
research and practice. Bringing the right mix of people together for an
intensive ‘summer camp’ can serve as an intellectual and social springboard
to accelerate the maturation of the discipline — as was the case for other
young disciplines, such as cognitive neuroscience.



After the 1st such event in Stanford in 2013, the 2nd Learning Analytics
Summer Institute (LASI 2014) is a strategic event organized by the Society
for Learning Analytics Research (SoLAR) in cooperation with the Center for
Virtual Education (CSEV), and the Spanish National University of Distance
Education (UNED). The International Educational Data Mining Society is also
assisting with event organization. LASI 2014 will be held in Madrid, Spain
from June 30, 2014 to July 2, 2014. In parallel, a global network of
LASI-Locals will run their own institutes.



LASI 2014 builds on the success of the inaugural LASI 2013 held at Stanford
University and LASI-Locals: LASI-Hong Kong, LASI-Denmark — Aalborg,
LASI-Latin America — Online, LASI-France — Lyon, LASI-Netherlands —
Amsterdam, LASI-South Africa — Pretoria, LASI-Spain — Granada,LASI-Spain —
Madrid, LASI-UK — Edinburgh, LASI-USA — Boston, and A-LASI – Sydney.
LASI2014 will again be a network of global events, so get inspired and
self-organise. Coordinator of LASI Locals is Simon Buckingham Shum who will
post updates on the SoLAR website. Sign up to the LASI-Local group to stay
tuned.



The objective is that participants will leave better equipped to actively
engage in advancing the LA field through their teaching and research
activities. More specifically, LASI has two goals:



1. Build the field of Learning Analytics through cross disciplinary
interactions, identification of research and teaching needs, advancement of
LA methods, and connecting isolated researchers and research communities.

2. Develop the skills and knowledge of doctoral students and academics,
equipping them to engage actively in LA research and teaching.



In the selection of participants, we will strive for a careful balance
between disciplines, skillsets and seniority — see the application criteria
for details.





Format



LASI2014’s goals of building the LA field and developing the skills of
researchers, educators and students will be achieved through a combination
of lectures, hands-on tutorials, group work and ample opportunity for
informal interactions. Activities include presentations from leading
researchers, innovative start-ups, and experts from related fields, coupled
with panels and workshops… all designed to define the needs of the LA
field, identify research gaps and needs, forge the community and establish
a research agenda.





Organizing Committee



Ryan S.J.d. Baker, Teachers College, Columbia University, USA

Simon Buckingham Shum, The Open University, UK (LASI-Locals chair)

Shane Dawson, University of South Australia, Australia

Erik Duval, KU Leuven, Belgium (program co-chair)

David Gago Saldaña, Centro Superior para la Enseñanza Virtual (CSEV), Spain

Dragan Gasevic, Athabasca University, Canada (program co-chair)

Philip Long, University of Queensland, Australia

Grace Lynch, University of New England, Australia

Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador

Luis Rodriguez, Centro Superior para la Enseñanza Virtual (CSEV), Spain

Salvador Ros, Universidad Nacional de Educación a Distancia (UNED), Spain

George Siemens, University of Texas at Arlington, USA

Llanos Tobarra, Universidad Nacional de Educación a Distancia (UNED), Spain

Daniel Torres Mancera, Centro Superior para la Enseñanza Virtual (CSEV),
Spain





Enquiries



Enquiries about participating in, or sponsoring, LASI may be emailed to
<lasi2014.madrid atsign gmail.com> with the subject line containing: LASI
Enquiry



If you are interested in connecting with the others running a
regional/local event, please contact Simon Buckingham Shum
<s.buckingham.shum atsign gmail.com> with the subject line containing:LASI
Local



Speakers in Madrid are by invitation, with the program now being designed.
Queries around theprogram should go to Erik Duval <Erik.Duval atsign
cs.kuleuven.be> and Dragan Gasevic <dragan.gasevic atsign gmail.com> with
the subject line containing: LASI Program. Regional/local satellite events
will design their own schedules and programs.





How to participate



To apply for participation in LASI 2014 in Madrid, Spain, please complete
the following application form available in the EasyChair site of LASI
2014  (https://www.easychair.org/conferences/?conf=lasi2014.). The details
about the application process can be found at
http://www.solaresearch.org/events/lasi-2/lasi2014/

----------------------------------------------
CLASS-L list.
Instructions: http://www.classification-society.org/csna/lists.html#class-l


ATOM RSS1 RSS2