MIDAS Learning Analytics Challenge Symposium

Learning analytics is one of the research focus areas that MIDAS supports with its Challenge Awards.  Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass.  This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub.  It will feature in-depth presentations from two Challenge Award teams, and all participants are encouraged to submit posters on research related to Learning Analytics.

Agenda

9 am to 11:30 am: Welcome and Challenge Award presentations

• 9:00 am: Welcome, Al Hero, MIDAS Co-Director
• 9:05 am: LEAP: Analytics for LEarners As People, Rada Mihalcea and team
• 10:20 am: HOME: Holistic Modeling of Education, Stephanie Teasley and team

11:30 am to 1 pm: Lunch, Poster Session, Networking [poster dimensions: up to 6ft wide X 4ft height]

1 to 2 pm: Panel discussion: The Future of Data Science for Learning Analytics at U-M

Panelists:

• Steve DesJardins, Education, Public Policy
• Cynthia Finelli, Engineering Education Research Program
• Al Hero (Moderator), MIDAS, Electrical Engineering and Computer Science
• Rada Mihalcea, Computer Science Engineering
• Stephanie Teasley, Information

Please register online.  Please submit poster abstracts (< 300 words).  Submission Deadline: May 15.

For questions: midas-research@umich.edu.

Recommended Visitor Parking:  Palmer Parking Structure, Palmer Drive, Ann Arbor