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Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Jimenez, Laura – Center for American Progress, 2020
Schools face enormous challenges regarding how to operate efficiently and safely for the 2020-21 school year. As part of that response, some state leaders are asking the U.S. Department of Education to waive the annual federal testing and accountability requirements for 2021, which are key to understanding and addressing gaps in education among…
Descriptors: COVID-19, Pandemics, Disease Control, Well Being
Amrein-Beardsley, Audrey; Geiger, Tray – Phi Delta Kappan, 2017
Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…
Descriptors: Value Added Models, School Districts, Computer Software, Educational Technology
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Siegel, Linda S. – International Journal for Research in Learning Disabilities, 2019
Dyslexia and other learning disabilities are not being properly recognized and treated in our educational system or society at large. Unrecognized and untreated learning disabilities represent a serious social and economic problem, not only to the individual but to society as a whole. For example, antisocial behavior, as seen in prison populations…
Descriptors: Dyslexia, Learning Disabilities, Disability Identification, Screening Tests
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Oh Neill, Sam – Canadian Journal of Action Research, 2014
I have worked with students at-risk for the greater majority of my career. The term has a number of meanings. Officially, it means they are at-risk of failing, but often the risks are much greater. At one extreme they are at-risk of losing their lives to substance abuse or suicide. Less drastically they are at-risk of making their way through the…
Descriptors: At Risk Students, Interpersonal Competence, Student Needs, Student Development
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Oakes, Wendy Peia; Lane, Kathleen Lynne; Cox, Meredith Lucille; Messenger, Mallory – Preventing School Failure, 2014
In this article, the authors provide an overview of behavior screening tools available, including free and commercially available options. Next, the authors offer step-by-step procedures for (a) selecting, (b) scheduling, (c) preparing, (d) administering, and (e) scoring and interpreting behaviors screening tools. The authors conclude with…
Descriptors: Screening Tests, Behavior Problems, Decision Making, Models
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Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
Brown­ Chidsey, Rachel, Ed.; Andren, Kristina J., Ed. – National Professional Resources, Inc., 2015
Problem-­solving assessment is an essential component of multi-­tiered systems of support such as response to intervention (RTI) and positive behavioral interventions and supports (PBIS). This authoritative work provides a complete guide to implementing a wide range of problem­-solving assessment methods, including: (1) functional behavioral…
Descriptors: Educational Assessment, Intervention, Response to Intervention, Positive Behavior Supports
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Engelbrecht, Johann; Harding, Ansie – International Journal of Mathematical Education in Science and Technology, 2015
In keeping with the national mandate of increasing graduates in the sciences in South Africa, a concerted effort in improving the first year experience becomes imperative. First year mathematics courses commonly provide the base knowledge necessary for progression in different degree programmes at university. Success in mathematics courses…
Descriptors: Foreign Countries, Mathematics Instruction, College Mathematics, College Freshmen
Dolan, Robert P.; Burling, Kelly; Harms, Michael; Strain-Seymour, Ellen; Way, Walter; Rose, David H. – Pearson, 2013
The increased capabilities offered by digital technologies offer new opportunities to evaluate students' deeper knowledge and skills and on constructs that are difficult to measure using traditional methods. Such assessments can also incorporate tools and interfaces that improve accessibility for diverse students, as well as inadvertently…
Descriptors: Educational Technology, Technology Uses in Education, Access to Education, Evaluation Methods
Checkoway, Amy; Goodson, Barbara; Grindal, Todd; Hofer, Kerry – Abt Associates, 2016
As part of the federal Preschool Development Grant Program in late 2014, the Massachusetts Department of Early Education and Care (EEC) was awarded a Preschool Expansion Grant (referred to as the Massachusetts PEG program) to expand high-quality early childhood education to four-year-old children from low-income families. The Massachusetts PEG…
Descriptors: Preschool Education, Grants, Early Childhood Education, Access to Education
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Course Evaluation
NGA Center for Best Practices, 2012
The federal government announced in late 2011 that as an alternative to waiting for Congress to reauthorize the Elementary and Secondary Education Act (ESEA), the U.S. Secretary of Education would consider requests from states to waive certain requirements under the No Child Left Behind Act of 2001 (NCLB). The opportunity to request waivers…
Descriptors: High Schools, Federal Legislation, Incentives, Educational Change
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VanDerHeyden, Amanda M. – Exceptional Children, 2011
Perhaps the greatest value of response to intervention (RTI) as a decision framework is that it brings attention to variables (e.g., mastery of prerequisite skills, frequency of instructional corrective feedback, reinforcement schedules for correct responding) that if changed might make a meaningful difference for students (e.g., child rate of…
Descriptors: Feedback (Response), Intervention, Classification, Response to Intervention
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