Identifying Naturally Occurring Direct Assessments of Social-Emotional Competencies
The Promise and Limitations of Survey and Assessment Disengagement Metadata
Bibliographic Data
| ID | 9732162 |
|---|---|
| Authors | James Soland (0000-0001-8895-2871, NWEA and University of Virginia, Charlottesville, VA, corresponding author), Gema Zamarro (0000-0002-3893-7523, University of Arkansas, Fayetteville, AR), Albert Cheng (0000-0003-0280-4291, University of Arkansas, Fayetteville, AR), Collin Hitt (Southern Illinois University School of Medicine) |
| Year | 2019 |
| Volume | 48 |
| Issue | 7 |
| Pages | 466-478 |
| Publication date | 2019-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational Researcher (JOURNAL) |
| Journal identifiers | ISSN: 0013-189X • E-ISSN: 1935-102X |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/0013189x19861356 |
| OpenAlex | W2900978308 |
| Language | EN |
| Citations received | 9 |
| References cited | 52 |
Social-emotional learning (SEL) is gaining increasing attention in education policy and practice due to growing evidence that related constructs are strongly predictive of long-term academic achievement and attainment. However, the work of educators to support SEL is hampered by a lack of available, unbiased measures of related competencies. In this study we conducted a literature review to investigate whether assessment metadata (typically data relevant to how students behave on a test or survey) can provide information on SEL constructs. Implications of this new source of SEL data for practice, policy, and research are discussed
Academic achievement · Disengagement theory · Mathematics education · Metadata · Test (biology · World Wide Web · Applied Psychology · Computer Science · Early Childhood Education and Development · Grit, Self-Efficacy, and Motivation · Psychology · School Choice and Performance
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Panel Attrition
| Unique citing works | 9 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |