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Clark McKown; Nicole Russo-Ponsaran; Matthew Wronski; Ashley Karls – Grantee Submission, 2025
This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…
Descriptors: Psychometrics, Social Emotional Learning, Middle School Students, Correlation
Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
Gary Weiser; Alison K. Billman; Christopher J. Harris; Lauren M. Brodsky; Damelin Daniel – Grantee Submission, 2022
The "Framework" and NGSS bring to the forefront the role of language in doing science and in learning from doing science. Yet, most existing science assessments for elementary learners do not integrate or attend to aspects of scientific language and literacy that are essential components of science proficiency. Accordingly, there is a…
Descriptors: Standards, Language Role, Science Instruction, Science Tests
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods