[edm-announce] EDM 2014 -- TUTORIAL ON EPISTEMIC NETWORK ANALYSIS

From: Stephen Fancsali <sfancsali@xxxxxxxxx>
To: edm-announce@xxxxxxxxxxxxx
Date: Tue, 1 Apr 2014 17:14:44 -0400
[on behalf of Golnaz Arastoopour]

If you missed the ENA tutorial at LAK 2014, here is another opportunity!


(Apologies for cross-postings)



TUTORIAL ON EPISTEMIC NETWORK
ANALYSIS<http://www.epistemicnetwork.org/events/edm-2014>

EDM 2014 LONDON, UK

4 JULY 2014





*TUTORIAL OVERVIEW*

Learning in the 21st century means thinking in complex and collaborative
ways that are situated in a real world context. This tutorial will convene
a community of researchers who are examining (or interested in examining)
complex thinking using epistemic network analysis (ENA). Originally
designed to assess epistemic frames--collections of skills, knowledge,
identities, values, and ways of making decisions--in virtual game
environments, ENA is now being used broadly to quantify the structure of
connections that constitute complex thinking in large-scale datasets that
record discourse (chat, email, and actions) in logfiles of many kinds.
Patterns of connections between elements of discourse are one important
feature of action in any domain, and ENA can help researchers quantify and
visualize the development of such connections over time. The goal of this
pre-conference tutorial is to explore the use of ENA in diverse contexts,
including log files, video game data, classroom teacher discourse,
interview transcripts, and neuroscience imaging. The tutorial (1) introduce
new users to this method, (2) provide further training and insight for
those already using ENA, and (3) develop a broader community of users and,
as a result, create opportunities for the advancement and improvement of
ENA.


*DESCRIPTION OF ENA*

ENA has been developed as a tool that models the connected understanding
that characterizes complex learning. In ENA, discourse is coded for the
presence of key elements in the domain. For any two elements, the strength
of their association in an epistemic network is computed based on the
frequency of their co-occurrence in discourse--where discourse in this sense
refers to recorded activity, whether verbal utterances or other actions.
Using this technique, we can quantify the epistemological network of a
person or group, and the evolution of such a network over time. Changes in
networks (and a possible convergence towards an ideal configuration) can be
measured by calculating the distance between individual networks. ENA is
available free online, and participants will be able to create accounts and
perform analyses with their own or sample data during the tutorial. For
more information about ENA, visit http://epistemicnetwork.org.


HOW TO PARTICIPATE Participants are required to bring their own laptops and
are strongly encouraged to bring their own datasets for this interactive
tutorial. However, data sources will also be provided. Datasets should be
.csv, .xls, or .txt files that contain meta data (some sort of identifying
information such as participant id numbers, gender, timestamp, etc.) and
coded data (discourse that is coded for elements of interest) in columns.
Please email Wesley Collier with questions/concerns about potential
datasets. To register for the tutorial, please email Wesley Collier (
collier.wesley@xxxxxxxxx) and provide the following information:

   - Name
   - Affiliation
   - Abstract (200 words max) describing research interests, datasets, and
   how ENA may be a useful method for current analyses

IMPORTANT DATES

   - Registration Deadline 07.01.14
   - Tutorial Date 07.04.14, Half day tutorial
   - Please email Wesley Collier (collier.wesley@xxxxxxxxx) with abstract
   (200 words max)

ORGANIZERS


   -         David Williamson Shaffer, Professor of Learning Sciences,
   UW-Madison (dws.uwm@xxxxxxxxx)
   -         Golnaz Arastoopour, Graduate Student of Learning Sciences,
   UW-Madison (arastoop@xxxxxxxxx)
   -         Chandra Orrill, Assistant professor of STEM Education, UMass
   Dartmouth (corrill@xxxxxxxxxx)
   -         Wesley Collier, Graduate Student of Learning Sciences,
   UW-Madison (collier.wesley@xxxxxxxxx)
[edm-announce] EDM 2014 -- TUTORIAL ON EPISTEMIC NETWORK ANALYSIS

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