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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Miranda Kucera; K. Kawena Begay – Communique, 2025
In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Bernstein, Sima; Barnett, W. Steven; Ackerman, Debra J. – National Institute for Early Education Research, 2019
Because pre-academic and social-emotional capabilities at kindergarten entry predict later academic and social success, there has been great concern with the level of "readiness" at kindergarten entry. Many states require a kindergarten readiness assessment (KRA). However, how readiness is defined, who or what entity is doing the…
Descriptors: School Readiness, Kindergarten, Definitions, Student Characteristics
Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
Rogaten, Jekaterina; Rienties, Bart Carlo – Higher Education Pedagogies, 2018
With the introduction of the Teaching Excellence Framework a lot of attention is focussed on measuring learning gains. A vast body of research has found that individual student characteristics influence academic progression over time. This case-study aims to explore how advanced statistical techniques in combination with Big Data can be used to…
Descriptors: STEM Education, Data Collection, Data Analysis, Higher Education
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Hunter, Gerald P.; Williamson, Stephanie; Wilks, Asa; Hanley, Janet M.; Stecher, Brian M. – RAND Corporation, 2020
The Intensive Partnerships for Effective Teaching initiative, which was funded by the Bill & Melinda Gates Foundation, was a multiyear effort to improve student outcomes--particularly high school graduation and college attendance among low-income minority students--by increasing student access to effective teaching. The RAND Corporation worked…
Descriptors: Data Collection, Data Use, Instructional Effectiveness, Teacher Effectiveness
Moreno, Gerardo; Wong-Lo, Mickie; Bullock, Lyndal M. – Preventing School Failure, 2014
The student population across U.S. schools has become increasingly diverse and has presented educators with a number of concerns in assisting students demonstrating challenging behaviors. Educators have historically had difficulties in distinguishing between cultural differences and genuine indicators of emotional and behavioral disorders. It is…
Descriptors: Student Diversity, Behavior Problems, Functional Behavioral Assessment, Student Needs
Van Hecke, T. – PRIMUS, 2011
Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…
Descriptors: Student Characteristics, Evaluation Methods, College Mathematics, Mathematics Instruction
Edwards, Virginia B., Ed. – Education Week, 2014
Educators and experts alike have come to a growing realization that academic factors alone do not tell the whole story of what it means to successfully navigate the educational system through high school and into higher education or the workplace. This national report from "Education Week" investigates the role that student engagement…
Descriptors: Learner Engagement, Student Motivation, Student Participation, Success
Gorman, Brenda K.; Fiestas, Christine E.; Pena, Elizabeth D.; Clark, Maya Reynolds – Language, Speech, and Hearing Services in Schools, 2011
Purpose: The purpose of this study was to analyze the effects of culture on the creative and stylistic features children employ when producing narratives based on wordless picture books. Method: Participants included 60 first- and second-grade African American, Latino American, and Caucasian children. A subset of narratives based on wordless…
Descriptors: African American Children, Picture Books, Paralinguistics, Fantasy