Collaborative Research: Developing and Evaluating Assessments of Problem-Solving in Computer Adaptive Testing Environments

NSF Award Search · 04002324DB NSF STEM Education · $2,195,749 · view on nsf.gov ↗

Abstract

Problem solving has been a priority within K-12 mathematics education for over four decades and is reflected throughout the Common Core State Standards for Mathematics (CCSSM) initiative, which have been adopted in some form by 41 states. Broadly defined, problem solving involves the mathematical practices in which students engage as they solve intellectually-challenging mathematical tasks. In prior research, problem-solving measures aligned to CCSSM for grades 3-5 were developed and validated to supplement previously established problem-solving measures in grades 6-8. The problem-solving measures assess students’ problem-solving performance within the context of CCSSM math content and practices. This project expands the scope of the problem-solving measures use and score interpretation. The project work advances mathematical problem-solving assessments into computer adaptive testing. Computer adaptive testing allows for more precise and efficient targeting of student ability compared to static tests. Few measures designed to assess students’ mathematical problem-solving ability use this technology. Shorter tests require less in-class time for assessment than current paper-pencil problem-solving measures and increase classroom instruction time. The computer-adaptive problem-solving measures have sufficient reliability and strong validity evidence, and may limit test-taker fatigue. Finally, the project will benchmark current grades 6-8 instruments using an objective standard-s

Key facts

NSF award ID
2529441
Awardee
SUNY at Binghamton (NY)
SAM.gov UEI
NQMVAAQUFU53
PI
Toni May-Sondergeld
Primary program
04002324DB NSF STEM Education
All programs
STEM Learning & Learning Environments
Estimated total
$2,195,749
Funds obligated
$1,014,803
Transaction type
Continuing Grant
Period
10/01/2025 → 07/31/2027