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CREATE at Cleveland Pilot

Simulations and Games Learning Analytics and Data Mining Workshop

Goals

The goal of the workshop is to convene researchers and practitioners in Learning Analytics and Educational Data Mining for educational simulations and games to discuss issues related to the collection and analysis of data generated during learning from these environments. The overall focus is to devise analysis methods for intensive data to enhance extensive data analysis (and  vice versa).

Specific topics discussed

  • Assessment mechanics–design of learning activities that produce meaningful data
  • Data Visualization Techniques for Multiple Data Streams
  • Analysis of multiple synchronized streams of continuous data
  • Data Mining for Behavior Modeling

Description of Breakout Group Tasks and Outcomes

The goal of the breakout group meetings is to open discussion on a number of key questions:

  • What research interests do we share?
  • What relevant  projects do we have going on?

  • What research questions would we like to investigate?

  • What should be our priorities?

  • With whom can we/should we partner?

Outcomes may include

  • Reports that contribute to a white paper (could be turned into edited book)
  • Conceptualization of a data repository and visualization/analysis system for large data sets from simulations/games
  • Ideas for joint research projects and collaborations

The topics for the breakout groups are:

  • Assessment mechanics: How can we design learning activities that produce meaningful data?
  • Data Visualization Techniques for Multiple Data Streams
  • Analysis of multiple synchronized streams of continuous data
  • Data Mining for Behavior Modeling

The process of the breakout group work consists of six phases

  1. Breakout group discussion of key questions
  2. Report on  breakout group discussions in Plenary Session
  3. Cross-group idea exchange (Plenary)
  4. Reconfigured Groups: Discuss specific ideas
  5. Synthesis of discussions and plans for the future (Plenary)
  6. Post-workshop work

Agenda: Thursday

Phase 1 – Broad Discussion of Ideas

Group Tasks. Please use this group session to discuss:

  • What research interests do you have, and which do we share?
  • What related  projects are you working on?

  • What research questions would you like to investigate?

  • Which will have the most impact? What should be our priorities?

  • What are the theoretical prerequisites and/or implications of this work?

Phase 2 – Report to Plenary

Tasks

  • Group facilitators: report key points of breakout group discussions to Plenary
  • Participants: In preparation of tomorrow’s sessions, come up with questions from your field/perspective that inspire discussion by one or more of the other groups
  • Participants: About 50% of group members will rotate to another group. You may use the form in your workshop folder to request another group to join the next day.

 

Agenda: Friday

Phase 3 – Cross Group Idea Exchange (Plenary)

Tasks (15 min per group)

  • Group Facilitators give 2-3 min. summaries of key ideas from Phase 1.
  • Participants pose questions from their field/perspective to inspire discussion by another group (outcome of Phase 2).
  • Facilitators take note of these questions, to be discussed in Phase 4.

Phase 4 – Reconfigured Groups: Discuss Specific Ideas and Report to Plenary

Group Charge: Reconfigured groups continue discussion:

  • What are your research interests and related  projects are you working on?

  • Which research questions should be addressed (high impact)?
  • How do questions or report items from other group(s) impact our discussion?
  • What practical questions related to actual projects or data sets do we need to consider?
  • With whom do we want to partner?

Phase 5 – Post Breakout Group Connecting Discussions (Plenary)

Tasks

  • How can we synthesize the discussions of our different groups?
  • What’s next?
    • Topic for next workshop
    • Edited volume?
    • Joining of existing projects
    • Development of new projects
    • New partners to connect with

 

Participants

Bruce Homer (organizer)
Associate Professor, Educational Psychology
Graduate Center, The City University of New York
bhomer@gc.cuny.edu | http://brucehomer.ws.gc.cuny.edu

Jan L. Plass (organizer)
Paulette Goddard Professor of Digital Media and Learning Sciences
New York University
jan.plass@nyu.edu | @janplass | http://create.nyu.eduhttp://g4li.org

Ryan Baker (organizer)
Julius and Rosa Sachs Distinguished Lecturer
Columbia University Teachers College
baker2@exchange.tc.columbia.edu

Suzy Letourneau (organizer)
Post Doctoral Scholar
New York University
suzy.letourneau@gmail.com

Melissa Biles (organizer)
Doctoral Student
New York University
melissa.biles@nyu.edu

Rich Bonneau
New York University
rb133@nyu.edu

Jen Case
Graduate Center, The City University of New York
jenelily@gmail.com

Sayamindu Dasgupta
MIT Media Lab
sayamindu@media.mit.edu | @sayamindu | http://www.mit.edu/~sdg1/

Girlie Delacruz
Senior Researcher
CRESST National Center for the Research on Standards and Student Testing and Student, UCLA
gdelacruz@cse.ucla.edu

Howard Everson     
Professor of Educational Psychology     
Director, Center for Advanced Study in Education
Graduate Center, The City University of New York
HEverson@gc.cuny.edu

Martha Hadley
Michael Cohen Research Group, New York
MHadley@mcgrc.com

Chris Hoadley
Associate Professor and Co-Director of Educational Technology Programs
New York University
tophe@nyu.edu

Katherine Isbister
Associate Professor, jointly appointed between NYU-Poly Computer Science and NYU Tisch Game Center
katherine.isbister@gmail.com

Walter Kaczetow
The Graduate Center, CUNY
WKaczetow@gc.cuny.edu

Deirdre Kerr
CRESST National Center for the Research on Standards and Student Testing and Student, UCLA
de_kerr@hotmail.com | http://www.linkedin.com/in/deirdrekerr

Charles Kinzer
Teachers College Columbia University
kinzer@tc.columbia.edu

Detlev Leutner
Professor of Instructional Psychology
Duisburg-Essen University, Essen, Germany
detlev.leutner@uni-due.de

Jaclyn Ocumpaugh
Post Doctoral Scholar
TC Columbia
Jocumpaugh@wpi.edu

Jenna Olsen
Utah State University

Ken Perlin
Professor of Computer Science
New York University
ken.perlin@gmail.com

Ruth Schwartz
New York University
ruth.schwartz@nyu.edu

John Stamper
Human-Computer Interaction Institute
Carnegie Mellon University
jstamper@cs.cmu.edu | http://dev.stamper.org | http://pslcdatashop.org

Claudio Silva
Professor of Computer Science and Engineering
NYU – POLY
Head of Disciplines, NYU CUSP
csilva@nyu.edu | http://bigdata.poly.edu/~csilva | http://cusp.nyu.edu

Cathy Tran
University of California, Irvine
ctran27@gmail.com | @cathytran | http://www.gse.uci.edu/person/tran_c/tran_c_bio.php

Matthew Ventura
Senior Research Scientist
College of Education, Florida State University
mventura@fsu.edu

Jay Verkuilen
Graduate Center, The City University of New York
JVerkuilen@gc.cuny.edu

Katherine Yoshida
Michael Cohen Group
kyoshida@mcgrc.