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Showing 1 to 15 of 22 results Save | Export
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Kathleen Lynne Lane; Katie Scarlett Lane Pelton; Nathan Allen Lane; Mark Matthew Buckman; Wendy Peia Oakes; Kandace Fleming; Rebecca E. Swinburne Romine; Emily D. Cantwell – Behavioral Disorders, 2025
We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…
Descriptors: Data Analysis, Decision Making, Data Use, Measures (Individuals)
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Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
Colorado, Jessica; Klein, Carrie; Whitfield, Christina – State Higher Education Executive Officers, 2023
State postsecondary education data systems are vital assets for policymakers, researchers, and the public. The State Higher Education Executive Officers Association's (SHEEO) Communities of Practice project builds upon SHEEO's efforts to measure the capacity and effective use of state postsecondary data systems and provides states with…
Descriptors: Communities of Practice, Equal Education, Educational Opportunities, Data Use
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Jaramillo, Jahn; Moran Bradley, Belen; Jentes, Emily S.; Rahman, Mehabuba; Sood, Neha Jaggi; Weiner, Judith; Marano, Nina; Ahmed, Farah S.; Kumar, Gayathri S. – Health Education & Behavior, 2022
In this commentary, we briefly describe our methodology in conducting a remote qualitative investigation with essential workers from southwest Kansas, and then describe some key considerations, challenges, and lessons learned in recruiting and conducting interviews remotely. From August 4, 2020 through August 26, 2020, Centers for Disease Control…
Descriptors: COVID-19, Pandemics, Employees, Limited English Speaking
National Forum on Education Statistics, 2024
The Forum is pleased to present the "Forum Guide to Student Learning Data During Pandemic School Closures and Beyond." The purpose of this resource is to review how local education agencies (LEAs) and state education agencies (SEAs) changed their approaches to collecting and using student data during the pandemic and how they are working…
Descriptors: School Districts, State Departments of Education, Data, COVID-19
Tucker, William; Long, Don – National Association of State Boards of Education, 2018
With roots in student-centered pedagogies that go back at least to the 1900s, personalized learning meets students' learning goals, needs, context, and pace while incorporating their interests and preferences. Personalized learning in today's classroom depends upon and creates an abundance of rich student data, which simultaneously fosters new…
Descriptors: Data Collection, Data Analysis, Student Records, Individualized Instruction
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Potter, Joshua D. – Change: The Magazine of Higher Learning, 2019
Curriculum maps have long served as useful guides in the careful design of a curriculum's pedagogical aims and where they are to be achieved, however such a map cannot indicate how students are actually moving through the curriculum. This article discusses traffic models. When employed in the study of courses drawn from multiple departments,…
Descriptors: College Curriculum, College Students, Data Use, Course Selection (Students)
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Swain, Kristine D.; Hagaman, Jessica L.; Leader-Janssen, Elizabeth M. – Preventing School Failure, 2022
Utilizing effective data collection methods to track student progress on Individual Education Program (IEP) goals is essential to quality programming and meeting each student's specific needs. This study surveyed special education teachers in four midwestern states to understand IEP data collection methods and assessment training. Results…
Descriptors: Data Collection, Progress Monitoring, Individualized Education Programs, Special Education
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
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Engledowl, Christopher; Weiland, Travis – Journal of Statistics and Data Science Education, 2021
The novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information…
Descriptors: Data Interpretation, COVID-19, Pandemics, Deception
NWEA, 2018
Blue Valley, the fourth largest school district in Kansas, covers 91 square miles. More than 20,000 K-12 students attend its 34 schools (five high schools, nine middle schools, and 20 elementary schools). Blue Valley began using MAP® Growth™ in 2005 to track students' academic growth over time and independently of grade level. In 2010 the district…
Descriptors: School Districts, Achievement Tests, Elementary Schools, Primary Education
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Swain, Kristine D.; Hagaman, Jessica L. – Preventing School Failure, 2020
This 20-year follow-up study examined elementary special educators' use of curriculum-based measurement. Elementary special educators (N = 1,077) in four Midwest states participated in the survey. Results indicated that the overall use of CBM was much higher than 20 years ago with reading CBM as the most prevalent area of monitoring with data used…
Descriptors: Elementary School Teachers, Special Education Teachers, Data Use, Curriculum Based Assessment
Midwestern Higher Education Compact, 2021
Over the last two years the Midwestern Higher Education Compact (MHEC) staff conducted a thorough program review to determine the current relevance and value of the Midwest Student Exchange Program (MSEP). This culminated in the report "Student Reciprocity Programs and MSEP in the 21st Century" (ED627191) which utilized historical MHEC…
Descriptors: Institutional Cooperation, Tuition, Interstate Programs, Higher Education
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Krehbiel, Dwight; Piper, Jon K. – Journal of STEM Education: Innovations and Research, 2017
In 2000 several STEM faculty at Bethel College in Kansas designed and began offering a one-week intensive residential summer research experience for high school students--the Bethel College Summer Science Institute. The core idea underlying the design was to motivate students through the excitement of discovery. This event has been offered…
Descriptors: STEM Education, College Faculty, Summer Programs, High School Students
Durán, Lillian K.; Wackerle-Hollman, Alisha K.; Kohlmeier, Theresa L.; Brunner, Stephanie K.; Palma, Jose; Callard, Chase H. – Grantee Submission, 2019
The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…
Descriptors: Spanish Speaking, Preschool Children, Screening Tests, Oral Language
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