Can test metadata help schools measure social-emotional learning?
Consortium for Policy Research in Education Knowledge Hub podcast
Social-emotional learning (SEL) competencies like self-efficacy and conscientiousness can be predictive of long-term academic achievement. But they can also be difficult to measure. In a new study led by NWEA’s James Soland, researchers investigated whether assessment metadata – the way students approach tests and surveys – can provide useful SEL data to schools and educators. Soland joins CPRE research specialist Tesla DuBois to discuss his findings, their implications, and the promise and limitations of student metadata in general.See More
The rise of computer‐based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple‐choice items.
By: Steven Wise
Assessments with features of games propose to address student motivation deficits common in traditional assessments. This study examines the impact of two “gameful assessment” prototypes on student engagement and teacher perceptions among 391 Grades 3–7 students and 14 teachers in one Midwestern and one Northwestern school.
By: Chase Nordengren
NWEA recently launched a new tool called College Explorer that enables middle school and early high school-age students to use their Measures of Academic Progress ® (MAP®) scores to see which colleges and universities they’re on track to enter long before they embark on the college application process.
By: Greg King
By: Ross Anderson, Meg Guerreiro, Jo Smith
This study examined the utility of response time‐based analyses in understanding the behavior of unmotivated test takers. For the data from an adaptive achievement test, patterns of observed rapid‐guessing behavior and item response accuracy were compared to the behavior expected under several types of models that have been proposed to represent unmotivated test taking behavior.
This study examined the utility of response time-based analyses in understanding the behavior of unmotivated test takers. For an adaptive achievement test, patterns of observed rapid-guessing behavior and item response accuracy were compared to the behavior expected under several types of models that have been proposed to represent unmotivated test taking behavior.
Whenever the purpose of measurement is to inform an inference about a student’s achievement level, it is important that we be able to trust that the student’s test score accurately reflects what that student knows and can do. Such trust requires the assumption that a student’s test event is not unduly influenced by construct-irrelevant factors that could distort his score. This article examines one such factor—test-taking motivation—that tends to induce a person-specific, systematic negative bias on test scores.
By: Steven Wise