The Eighteenth Annual Maryland Assessment Conference:

Innovative Psychometric Modeling and Methods

  • Jointly supported by the Maryland State Department of Education and the Maryland Assessment Research Center. 
  • This conference has invited speakers to present new and emerging models and methods for psychometric analysis and applications.

Presentation Schedule

November 1st (Thursday)
Morning Session I
7:30-8:30
Registration and Breakfast
8:30-8:45
Welcome and Comments
Hong Jiao (University of Maryland)
8:45-9:30
Advancing psychometric methods for assessing cognitive theory and tracking learning
Presentation Slides
Steven Culpepper (University of Illinois at Urbana-Champaign)
9:30-10:15
Improving attribute classification accuracy in high dimensional data: A three-step latent regression approach
Presentation Slides
Jimmy de la Torre (The University of Hong Kong)
Break
Morning Session II
10:30-11:15
Generalized Linear Mixed Effect Models for Intensive Binary Temporal-Spatio Data from an Eye Tracking Technique
Presentation Slides
Sun-Joo Cho (Vanderbilt University)
11:15-12:00
Network analysis for learning analytics
Presentation Slides
Mengxiao Zhu (Educational Testing Service)

November 1st (Thursday)
Afternoon Session I
1:00-1:45
Item tree models for time series data on eye tracking
Presentation Slides
Paul De Boeck (The Ohio State University)
1:45-2:30
Theoretical and Practical Considerations for Bridging Models of Learning and Assessment
Presentation Slides
Benjamin Deonovic & Gunter Maris (ACT, Inc)
Break
Afternoon Session II
2:45-3:30
A graphical and generalized linear model approach to latent variable modeling
Presentation Slides
Frank Rijmen (American Institutes for Research)
3:30-4:15
Modeling hint use and response accuracy in learning environments
Presentation Slides
Maria Bolsinova (ACT, Inc)

November 2nd (Friday)
Morning Session I
7:30-8:30
Registration and Breakfast
8:30-9:15
Bayesian Marginal Joint Modeling of Process Data
Presentation Slides
Jean-Paul Fox (University of Twente)
9:15-10:00
Modeling student choices within complex tasks using Markov decision processes
Presentation Slides
Michelle LaMar (Educational Testing Service)
Break
Morning Session II
10:15-11:00
Identifying observable outcomes in game-based assessments
Presentation Slides
Russell Almond, Valerie J. Shute, Seyfullah Tingir & Seyedahmad Rahimi (Florida State University)
11:00-11:45
A Regime-Switching Structural Equation Modeling Framework for Formulating Multi-Phase Linear and Nonlinear Growth Curve Models
Presentation Slides
Sy-Miin Chow (Pennsylvania State University)
11:45-12:00
Closing Comments 
Robert Lissitz (University of Maryland)

 


 

 
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