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
How have COVID-19 school closures impacted student academic growth and achievement? New research using fall 2020 MAP Growth assessment data for 4.4 million students provides new insights, key findings, and actionable recommendations.
Parameter estimation accuracy of the effort-moderated IRT model under multiple assumption violations
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement.
By: James Soland, Joseph Rios
This session from the National Council on Measurement in Education 2020 virtual conference presents new research findings on understanding and managing test-taking disengagement (presentation begins at 22:55).
Do students rapidly guess repeatedly over time? A longitudinal analysis of student test disengagement, background, and attitudes
This session from the 2020 National Council on Measurement in Education virtual conference presents new research findings on understanding and managing test-taking disengagement. (Presentation begins at 22:55).
Topics: School & test engagement
This study investigated effort‐moderated (E‐M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring, and its affect on score distortion from disengaged test taking.
This interactive tool provides context on the typical patterns of achievement and growth in mathematics and reading for private and Catholic schools who take MAP Growth assessments. It provides multiple ways to examine patterns for different groups of students, including by student gender, race/ethnic group, region, and state.
By: Michael Dahlin, Art Katsapis
This user’s guide for the MAP Growth Goal Explorer describes how to use this interactive tool, the benchmarks it uses to provide context on student growth goals, a framework for goal setting, instructions for how to download information from the tool, and answers to frequently asked questions.