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Levitan, Shayna; Holston, Shannon; Walsh, Kate – National Council on Teacher Quality, 2022
When Congress reauthorized the Elementary and Secondary Schools Act in 2015, it intended to send a strong signal: any further encroachment of federal authority on the nation's K-12 schools needed to end. Compared to its more prescriptive predecessor in 2000, known as No Child Left Behind, the new law, dubbed "ESSA" for the Every Student…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Equal Education
Fung, Sara; Haspel, Jessica; Kniffen, Susanna; Wondra, Danielle – Children Now, 2022
Employment is foundational to young people's successful transition into adulthood, yet many youth with lived experience in the foster care system struggle to obtain employment that provides a living wage. Youth with foster care experience typically do not have the same contacts and connections to employment opportunities as youth who have not been…
Descriptors: Youth, Foster Care, Barriers, Career Readiness
Cacicio, Sarah; Tinsley, Brian; Miller, Antionette; Luke Luna, Christina – Digital Promise, 2022
Learning and Employment Records (LERs) require careful, deliberate design to ensure that workers benefit from their adoption and use. If designed without the inclusion of individuals who are most marginalized in the workforce, LERs could reproduce existing inequities in the talent pipeline. Digital Promise collaborated with workers in frontline…
Descriptors: Information Technology, Credentials, Information Storage, Influence of Technology
Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
Aparajita Jaiswal – ProQuest LLC, 2022
The discipline of data science has gained substantial attention recently. This is mainly attributed to the technological advancement that led to an exponential increase in computing power and has made the generation and recording of enormous amounts of data possible on an everyday basis. It has become crucial for industries to wrangle, curate, and…
Descriptors: Data Science, Skill Development, Undergraduate Students, Science Process Skills
Heather Marie DeWaard-Flickinger – ProQuest LLC, 2022
Wellness, persistence, and retention in higher education have a common goal of student success. Colleges and universities explore various methods to help students succeed and continue towards degree completion. Most of the research has focused on traditional predictors (e.g., high school GPA, ACT/SAT scores) of persistence and success. There is…
Descriptors: Academic Achievement, Student Welfare, Community College Students, Integrated Services
Taylor K. Odle; Lauren C. Russell – Annenberg Institute for School Reform at Brown University, 2022
Reverse transfer associate degrees are credentials retroactively awarded to current bachelor's degree seekers that combine current four-year credits with credits previously earned at a community college. Providing students with an associate degree may not only increase motivation and persistence "en route" to completing a bachelor's but…
Descriptors: College Transfer Students, Associate Degrees, Labor Market, Data
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Filiz, Enes; Öz, Ersoy – Journal of Baltic Science Education, 2019
Educational Data Mining (EDM) is an important tool in the field of classification of educational data that helps researchers and education planners analyse and model available educational data for specific needs such as developing educational strategies. Trends International Mathematics and Science Study (TIMSS) which is a notable study in…
Descriptors: Foreign Countries, Achievement Tests, Science Tests, International Assessment
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Shay, Marnee – Australian Journal of Indigenous Education, 2019
Yarning scholarship is emerging in the Australian context. There are a growing number of Indigenous scholars who advocate for using yarning in research and this paper aims to contribute to this methodological discussion. In this paper, I outline the development of a methodology, which I have named Collaborative Yarning Methodology (CYM). CYM…
Descriptors: Foreign Countries, Indigenous Populations, Story Telling, Indigenous Knowledge
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Melkonian, Vardges – PRIMUS, 2019
This paper discusses a game that can be used for introducing the binary representation of integers in an interactive and fun environment. The game is introduced in the way it is presented in an undergraduate Discrete Mathematics class. Variations of the game are discussed, particularly its extension to base-three representation of integers. It is…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Study, Educational Games
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Gasevic, Dragan; Tsai, Yi-Shan; Dawson, Shane; Pardo, Abelardo – International Journal of Information and Learning Technology, 2019
Purpose: The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding of the learning process. This promise motivated the emergence of the field of learning analytics and supported the education sector in moving toward…
Descriptors: Learning Analytics, Adoption (Ideas), Technology Integration, Foreign Countries
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Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
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Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
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Estes, Austin; McCain, Brianna – State Education Standard, 2019
An evolution has taken place in Career and technical education (CTE) over the past few decades. CTE students often go on to graduate high school, enroll in college, and secure high-wage employment at higher rates than their peers. Every learner should have the opportunity to benefit from CTE, but even today many students cannot access these high…
Descriptors: Equal Education, Vocational Education, Data Use, Family Involvement
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Lanham, Susan W. – American Journal of Business Education, 2019
Most literature related to Benford's Law discusses what the law can be used for and how it works but fails to address effective methods and procedures for teaching the law to students. This article examines existing information resources to determine the most effective methods and procedures used to explain this Law to those who have no experience…
Descriptors: Data Analysis, Instructional Effectiveness, Probability, Statistics
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