Maryland Assessment Research Center (MARC)

2017 MARC Conference

The Seventeenth Annual MARC Conference:

Application of Artificial Intelligence (AI) to Assessment (Nov. 2nd-3rd, 2017)

Located at the Adele H. Stamp Student Union, University of Maryland, College Park, MD 20742

Click here to register

  • Jointly supported by the Maryland State Department of Education and the Maryland Assessment Research Center. 
  • Each topic will be given a one-hour block of time, including a 50-minute presentation by each speaker followed by 10 minutes of Q and A.
  • The following topics will be included in this conference: 
    (a) Automated Adaptive Testing 
    (b) Automated Scoring 
    (c) Automated Item Generation 
    (d) Automated Form Assembly

Presentation Schedule

Thursday, November 2nd, 2017

TimeTitlePresenter(s)
7:00-8:30Registration and Breakfast
8:30-8:45Welcome and CommentsHong Jiao (University of Maryland)
8:45-9:45

Generating Test Items for English Language Arts
 

1MARCESLai_Gierl_2017.pdf 		Mark Gierl & Hollis Lai (University of Alberta)
9:45-10:45

Difficulty, Item and Response Modeling: An Intersection of AI and Assessment
 

2Bejar_Flor.pdf 		Issac Bejar & Michael Flor (Educational Testing Services)
10:45-11:00Break
11:00-12:00

Reconceptualizing Items: From Clones and Automatic Item Generation to Task Model Families
 

3Luecht_Burke.pdf 		Richard Luecht (University of North Carolina, Greensboro)&
Matt Burke (American Board of Internal Medicine)
12:00-1:00Lunch
1:00-2:00

Estimating Person Characteristics from Voice, Speech, Language and Touch
 

4Bernstein_Cheng.pdf 		Jared Bernstein (Stanford University) &
Jian Cheng (Analytic Measures Inc.)
2:00-3:00

Addressing Literacy with Natural Language Processing
 

5Burstein.pdf 		Jill Burstein (Educational Testing Services)
3:00-3:15Break
3:15-4:15

Practical Considerations for Implementing Automated Scoring of Writing for Large-Scale Use
 

6Foltz.pdf 		Peter Foltz (Pearson and University of Colorado, Boulder)
4:15-5:15

Constructing LOFT Item Pools with Linear Programming
 

7Patton_Yan.pdf 		Jeffrey Patton & Ray Y. Yan (Financial Industry Regulatory Authority)

Friday, November 3rd, 2017

7:00-8:30Registration and Breakfast
8:30-9:30

Case Studies in Automated Test Assembly in Classical Test Theory and Item Response Theory Contexts
 

8Chuah_et_al.pdf 		Luz Bay, David Chuah & Thomas P. Proctor (The College Board)
9:30-10:30

Computerized Multistage Testing and its Applications
 

9 Yan.pdf 		Duanli Yan (Educational Testing Service)
10:30-10:45Break
10:45-11:45

An Intelligent CAT that Can Deal with Disengaged Test Taking
 

10Wise.pdf 		Steven Wise (Northwest Evaluation Association)
11:45-12:45

Differences in the Amount of Adaptation of Computerized Adaptive Tests, Stratified Adaptive Tests and Multistage Tests
 

Differences_in_the_Amount_Final_Version_Reckase.pdf 		Mark D. Reckase, Unhee Ju & Sewon Kim (Michigan State University)
12:45-1:00Closing Comments Robert Lissitz (University of Maryland)
 

Automatic Item Generation with Artificial Intelligence: The AIG of AI, by AI, and for AI.


(Note: This paper is not to be presented at the conference but will be included in a book based on the conference)
 

Jaehwa Choi (George Washington University)