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CHI-ANNOUNCEMENTS  November 2014, Week 4

CHI-ANNOUNCEMENTS November 2014, Week 4

Subject:

Workshop participation: It's About Time - temporal analyses of learning data, at LAK15

From:

Simon Knight <[log in to unmask]>

Reply-To:

Simon Knight <[log in to unmask]>

Date:

Mon, 24 Nov 2014 15:08:14 -0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (120 lines)

Workshop call: It's About Time: 4th International Workshop on Temporal
Analyses of Learning Data, at LAK15 <http://lak15.solaresearch.org/>
(Learning Analytics and Knowledge) Conference, Marist College, Poughkeepsie,
NY, USA March 16-20, 2015


 


Workshop website:  <http://lak15time.github.io/> http://lak15time.github.io/



 


Participation: Those interested in participating are invited to submit short
(1 page maximum) applications for one of the following roles briefly
describing which role you would like to participate in at the workshop and
what you bring to the position (e.g., past experience working with temporal
analyses, how this area relates to your research interests). Those proposing
a conceptual, data, or analytic presentation should also briefly outline
what they would like to present on - i.e., conceptual issues addressed /
characteristics of the data set and if any, analyses conducted thus far /
analytic approach and what data it is suitable for. Participation roles
include the following:

.         Conceptual presenters: those who submit short conceptual papers on
temporality for discussion at the workshop

.         Data presenters: those who provide a salient dataset for
discussion of its temporal properties and potential analyses

.         Analytic presenters: those who provide an analytic technique
relevant to temporal analysis

.         Commentators: those who commit to reading, and responding to, at
least one of the above kinds of submission - note that we welcome
commentators with all backgrounds and levels of experience

Applications to participate should be emailed to Simon Knight
<mailto:[log in to unmask]>  on [log in to unmask] with the subject line
'LAKTime' by January 11th.

We aim to send out notifications on January 16th, before LAK's earlybird
registration deadline (Jan 21st).


 


Overview: Learning occurs over time and interest in analyses that probe
temporal aspects continues to grow as a powerful way to understand the
processes through which learning occurs. The study of common and
consequential sequences of events (such as learners accessing resources,
interacting with other learners and engaging in self-regulatory activities)
and how these associate with learning outcomes, as well as the ways in which
knowledge and skills grow or evolve over time are both core areas of
interest. However, the emerging area of temporal analysis presents both
technical and theoretical challenges in appropriating suitable techniques
and interpreting results in the context of learning. The learning analytics
community offers a productive focal ground for exploring and furthering
efforts to address these challenges as it is already positioned in the
"middle space" where learning and analytic concerns meet. In addition,
learning analytics datasets are replete with fine-grained temporal data:
click streams; chat logs; document edit histories (e.g. wikis, etherpads);
motion tracking (e.g. eye-tracking, Microsoft Kinect), and so on. This
workshop, the fourth in a series on temporal analysis of learning data,
provides a focal point for analytics researchers to consider the larger
issues of and approaches to temporality in learning analytics. The focus is
on the particular opportunities and challenges of temporal analysis for
learning analytics and how learning analytics data, methods and approaches
can inform the larger community working with temporal analyses of learning
data.

 

Important Dates: 

*	January 11th: Deadline for short LAKTime applications to
[log in to unmask]
*	January 16th: Notifications sent out
*	January 21st: LAK15's earlybird registration deadline (conference
deadline)
*	March 16-20th: LAK15 Conference

 

Format:

Discussion on the day will include breakout groups with members from the
different roles, including commentators for each group. This design aims to
facilitate an inclusive and effective discussion on the day, and onwards.
Prior to the day some core themes and questions will be identified for
discussion. Participants will be accepted on the basis of contribution to
the theme, with a desire to move forward both methodological and conceptual
work in the area. We anticipate the theme bringing new people into the
learning analytics community, nurturing connections and developing the theme
within the community.

 

Overview:

*	Simon Knight, Open University
*	Alyssa F. Wise, Simon Fraser University
*	Bodong Chen, University of Minnesota
*	Britte Haugan Cheng, SRI International


    ---------------------------------------------------------------
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