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Jobs for the Future, 2018
Many states and districts are working toward developing and implementing high-quality systems that align assessments with each other, and to college and career readiness, and a comprehensive set of higher-order thinking skills. In order to support states, districts, and communities in this, the following 10 principles as guidance and common…
Descriptors: Educational Assessment, Career Readiness, College Readiness, Alignment (Education)
NWEA, 2018
There are many great stories of schools and districts effectively using MAP® Growth™ data to change the trajectory of student learning--but the stories don't often begin in high school. That's why Southwest Local School District in Ohio and their incredible growth are so unique. How did they start with an effective intervention at the high school…
Descriptors: School Districts, High Schools, Data, Achievement Tests
Heinisch, Benjamin P. – ProQuest LLC, 2018
This qualitative case study explored how undergraduate students from rural areas experience higher education environments and develop a sense of belonging at a large Midwestern public university. This study defined rural considering students' hometown population size and density as well as each individual participant's constructed reality of a…
Descriptors: Undergraduate Students, Rural Population, Sense of Community, Student Attitudes
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
Jiang, Yongyao – ProQuest LLC, 2018
Finding Earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. Current search engines in most geospatial data portals tend to induce end users to focus on one single data attribute. This approach largely fails to take account of users' multiple…
Descriptors: Geographic Information Systems, Users (Information), Data Collection, Online Searching
Esteban, Aurora; Zafra, Amelia; Romero, Cristóbal – International Educational Data Mining Society, 2018
This paper describes a multiple criteria approach based on a hybrid method of Collaborative Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria which could affect the elective course recommendation for university students. In order to determine which factors are the most important, it is proposed a genetic…
Descriptors: College Students, Course Selection (Students), Computer Uses in Education, Elective Courses
Shaw, Sara; Lin, Van-Kim; Maxwell, Kelly – Administration for Children & Families, 2018
A data sharing agreement is a formal document of agreement between two entities that specifies the conditions under which data are to be shared. Data sharing agreements typically specify what (and how) data will be shared, procedures to safeguard the data, and how the data are to be used. This resource is intended to provide guidance to early…
Descriptors: Child Care, Early Childhood Education, Educational Research, Data
Doss, Christopher Joseph; Johnston, William R. – RAND Corporation, 2018
This technical appendix provides additional information about the sample, data, and estimation strategy that were used for a series of AEP Data Notes published by the RAND Corporation in 2018 and 2019. The Data Note series is intended to provide brief, incisive analyses of teacher and school leader survey results which may be of immediate interest…
Descriptors: Teacher Surveys, Administrator Surveys, Sampling, Public Schools
Hollingsworth, Hilary; Heard, Jonathan; Weldon, Paul R. – Australian Council for Educational Research, 2019
Each year teachers and principals in schools across Australia invest much time and effort, and considerable expense, in activities related to communicating student learning progress. However little is known about the effectiveness of these activities, including the extent to which they are valued by stakeholders, whether they are considered to…
Descriptors: Learning Processes, Academic Achievement, Program Descriptions, Data Collection
de Morais, Felipe; Jaques, Patricia A. – Informatics in Education, 2022
Intelligent Tutoring Systems (ITSs) for Math still use traditional data input methods: computers' keyboard and mouse. However, students usually solve math tasks using paper and pen. Therefore, the gap between the manner the students work and the requirements imposed by these typing-based systems expose students to an extraneous cognitive load,…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Educational Technology, Technology Uses in Education
Collyer, Lee; Bolen, Tammy – Washington Office of Superintendent of Public Instruction, 2022
The Washington Social Emotional Learning Committee was established in 2019 through Senate Bill (SB) 5082 to address the growing body of evidence that shows the need for improving not only a student's academic abilities, but also their social and emotional competencies which are critical to every child's development. SB 5082 requires the Committee…
Descriptors: Social Emotional Learning, State Legislation, Educational Legislation, Program Implementation
Fermanich, Mark; Finster, Matthew – Region 5 Comprehensive Center, 2022
This study aimed to identify best practices for collecting and reporting state teacher supply and demand data. The study examined data systems for monitoring teacher demand and supply data, such as district position vacancies by certification area, candidate recruitment, and the performance and productivity of educator preparation programs.…
Descriptors: Teacher Supply and Demand, Teacher Certification, Teacher Education Programs, Diversity
Zita Lysaght; Gemma Cherry – Sage Research Methods Cases, 2022
An advantage of well-designed survey research is that, typically, it yields large volumes of quantitative and qualitative data. A key challenge researchers face is mining and reporting these data appropriately and promptly to inform research publications and presentations. When mixed methods are employed, and researchers attempt to master computer…
Descriptors: Mixed Methods Research, Research Methodology, Research Problems, Barriers
Douglas D. Ready; Jeanne L. Reid – Annenberg Institute for School Reform at Brown University, 2022
New York City's "Pre-K for All" (PKA) is the Nation's largest universal early childhood initiative, currently serving some 70,000 four-year-olds. Stemming from the program's choice architecture as well as the City's stark residential segregation, PKA programs are extremely segregated by child race/ethnicity. Our current study explores…
Descriptors: Preschool Education, Access to Education, Equal Education, School Choice
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making

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