Project Name:
Simulations and Games Learning Analytics and Data Mining Workshop

Organized by:
Bruce D. Homer, CUNY GC
Jan L. Plass, NYU
Ryan Baker, TC Columbia

Held April 4–5 at New York University, CREATE Lab

Agenda Participants | Breakout Group Task Description | Report [ TBA ]


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).

Simulations and Games Learning Analytics and Educational Data Mining Workshop

New York University, April 4–5, 2013

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


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


  • 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.



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)


  • 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