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Balloo, Kieran; Winstone, Naomi E. – Frontline Learning Research, 2021
A significant challenge currently facing the higher education sector is how to address differential student outcomes in terms of attainment and continuation gaps at various stages of students' transitions. Worryingly, there appears to be a 'deficit' discourse among some university staff in which differential outcomes are perceived to be due to…
Descriptors: Academic Achievement, Educational Attainment, Achievement Gap, Outcomes of Education
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Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
Allen, Jeff; Anguiano-Carrasco, Cristina; Walton, Kate E. – ACT, Inc., 2022
This paper documents the development of the Mosaic Readiness Index, a score that is reported for individuals who take the high school version of Mosaic by ACT®: Social Emotional Learning Assessment (hereafter referred to as the Mosaic assessment). The Mosaic Readiness Index is designed to predict high school academic outcomes--namely high school…
Descriptors: High School Students, Aptitude Tests, Social Emotional Learning, Predictor Variables
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Inbar-Furst, Hagit; Landau, Yael E. – Penn GSE Perspectives on Urban Education, 2022
Students with Emotional and Behavioural Disorders (EBD) pose a challenge for students themselves and those in their close environment, including parents, teachers, and peers. In light of the inclusion movement more students with EBD are assigned to mainstream classrooms. The aim of this article is to present a comprehensive six step work protocol…
Descriptors: Foreign Countries, Students, Emotional Disturbances, Behavior Disorders
Allen, Jeff; Mattern, Krista; Camara, Wayne – ACT, Inc., 2020
This brief presents a method for predicting the impact of school closures on average ACT® test scores. The purpose is to illustrate a methodology and major conditions that should be considered in predicting aggregate ACT scores when school closes prematurely and learning and testing are disrupted. Across three scenarios examined herein, the impact…
Descriptors: Predictor Variables, Outcomes of Education, School Closing, College Entrance Examinations
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Whetten, David A. – Journal of Management Education, 2021
Ten years ago, after 20 years as a university professor, I was asked to direct the teaching and learning support center at my university. I quickly realized I had almost no knowledge of the published scholarship on this subject. From my reading of this literature, I found the research on the predictors of student learning particularly informative.…
Descriptors: Course Organization, Instructional Design, Learning Experience, Outcomes of Education
Education Trust, 2023
School attendance is an important predictor of student outcomes. Regular attendance ensures students have access to learning in the classroom and allows students to build relationships with their peers and adults in schools. But too often, students face barriers in and out of school that influence whether they attend school consistently. These…
Descriptors: Advocacy, Attendance, Predictor Variables, Outcomes of Education
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Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
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Regional Educational Laboratory Southwest, 2021
This Study Snapshot highlights findings from a larger study on Arkansas's middle school and high school indicators of postsecondary readiness and success outcomes. The Arkansas Department of Education identified college and career readiness indicators in their Every Student Succeeds Act (ESSA) plan. Using two statewide cohorts of grade 6 students…
Descriptors: Prediction, Educational Indicators, College Readiness, College Entrance Examinations
Soliday Hong, S.; Zadrozny, S.; Walker, J.; Love, E. N. G.; Osborne, J. D.; Owen, J. L.; Jenkins, G.; Peisner-Feinberg, E. – FPG Child Development Institute, 2021
This report summarizes results from the Georgia's Pre-K Longitudinal Study Third-Grade Report. The study followed a representative sample of children (n=1,169) from their pre-k experience (2013-2014) through the third grade (2017-2018). Study components include: (1) Standardized child assessments that measure skills across learning domains. By…
Descriptors: Preschool Education, Primary Education, Grade 1, Grade 2
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Harris, Frank, III; Luke Wood, J. – New Directions for Community Colleges, 2016
The authors of this chapter present the Socio-Ecological Outcomes Model as a means of predicting student success for community college men of color.
Descriptors: Social Influences, Ecological Factors, Outcomes of Education, Models
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Wagner, Ellen; Longanecker, David – Change: The Magazine of Higher Learning, 2016
The metrics used in the US to track students do not include adults and part-time students. This has led to the development of a massive data initiative--the Predictive Analytics Reporting (PAR) framework--that uses predictive analytics to trace the progress of all types of students in the system. This development has allowed actionable,…
Descriptors: Predictor Variables, Reflection, Academic Achievement, Models
Evans-Whipp, Tracy; Mundy, Lisa; Miller, Eliza; Canterford, Louise; Patton, George – Australian Government Department of Education and Training, 2018
In Australia and many other countries, the provision of the healthiest possible start in life for all children has been a priority for government. Evidence to support the importance of the early years for future development has accumulated over the past two decades [1]. Patterns of childhood development predict health, wellbeing, learning and…
Descriptors: Foreign Countries, Outcomes of Education, Child Development, Social Development
Rothwell, Jonathan – Association of Community College Trustees, 2017
Senior Economist Jonathan Rothwell of Gallup, presents data on employment outcomes for college graduates from different types of colleges. He also provides findings from the Gallup-USA Funds Associate Degree Graduates Survey which shows there are a number of student experiences that are highly predictive of overall life-evaluation. He cites the…
Descriptors: College Graduates, Associate Degrees, Career Readiness, Program Effectiveness
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