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Jo Al Khafaji-King – Annenberg Institute for School Reform at Brown University, 2024
Across the United States, suspension bans have become a popular policy response to address excessive and inequitable use of suspension in schools. However, there is little research that examines what strategies school staff employ when suspension is no longer permitted. I examine the effect of New York City's suspension ban on the use of a…
Descriptors: Suspension, Discipline Policy, Students with Disabilities, Identification
Cem Recai Çirak; Hakan Akilli; Yeliz Ekinci – Higher Education Quarterly, 2024
In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…
Descriptors: Program Development, At Risk Students, Identification, College Freshmen
Selma Tosun; Dilara Bakan Kalaycioglu – Journal of Educational Technology and Online Learning, 2024
Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…
Descriptors: Academic Achievement, Open Education, Distance Education, Foreign Countries
Seth Walker; Scott Imberman; Katharine Strunk – Grantee Submission, 2025
This paper investigates the differential effectiveness of teachers across student populations, with a focus on gifted and talented (GT) students. Using data from Los Angeles, we estimate teacher effectiveness (proxied by value-added measures (VAMs) of teachers' contributions to student achievement growth) for GT students and examine how they are…
Descriptors: Teacher Effectiveness, Academically Gifted, Value Added Models, Academic Achievement
Ilana M. Umansky; Manuel Vazquez Cano; Lorna M. Porter – Educational Evaluation and Policy Analysis, 2024
Federal law defines eligibility for English learner (EL) classification differently for Indigenous students compared with non-Indigenous students. To be EL-eligible, non-Indigenous students are required to have a non-English primary language. Indigenous students, by contrast, can be English-dominant or English monolingual. A critical question,…
Descriptors: English Language Learners, Classification, Indigenous Populations, Alaska Natives
Del Siegle; D. Betsy McCoach; E. Jean Gubbins; Carolyn M. Callahan – Grantee Submission, 2026
Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…
Descriptors: Gifted Education, Academically Gifted, Individualized Instruction, Equal Education
Del Siegle; D. Betsy McCoach; E. Jean Gubbins; Carolyn M. Callahan – Gifted Child Today, 2026
Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…
Descriptors: Gifted Education, Academically Gifted, Individualized Instruction, Equal Education
Polyzou, Agoritsa; Karypis, George – IEEE Transactions on Learning Technologies, 2019
Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps toward enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. However, these approaches do not…
Descriptors: Prediction, Academic Achievement, Low Achievement, Classification
Seniha Purisic – ProQuest LLC, 2022
Intelligence tests are important tools in psychology and education; however, the stability of scores and use of intelligence tests has always been surrounded by some controversy. Since its conception in 1905, intelligence testing has become one of the most prominent tasks for school psychologists worldwide. Today's need for frequent use of…
Descriptors: Special Education, Students with Disabilities, Job Performance, Income
Johnson, Angela – Educational Policy, 2023
This study reports achievement and growth from kindergarten to fourth grade for three groups of English Learners (ELs): (a) ever-ELs; (b) ELs consistently eligible for service; and (c) EL and Special Education dually-identified students. All three EL groups had lower test scores than never-ELs throughout K-4. In math, ELs grew more than never-ELs…
Descriptors: English Language Learners, Academic Achievement, Achievement Gains, Special Education
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
Hamilton, Rashea; Long, Daniel; McCoach, D. Betsy; Hemmler, Vonna; Siegle, Del; Newton, Sarah D.; Gubbins, E. Jean; Callahan, Carolyn M. – Journal for the Education of the Gifted, 2020
English learners (ELs) are the fastest growing population of students in the United States and currently represent nearly 10% of public school enrollment; however, they also constitute less than 3% of gifted program enrollment in these schools. Although an increasing number of studies explore this underrepresentation, research that specifically…
Descriptors: English Language Learners, Language Proficiency, Academically Gifted, Talent Identification
Hamilton, Rashea; Long, Daniel; McCoach, D. Betsy; Hemmler, Vonna; Siegle, Del; Newton, Sarah D.; Gubbins, E. Jean; Callahan, Carolyn – Grantee Submission, 2020
English learners (ELs) are the fastest-growing population of students in the United States and currently represent nearly 10% of public school enrollment; however, they also constitute less than 3% of gifted program enrollment in these schools. Although an increasing number of studies explore this underrepresentation, research that specifically…
Descriptors: English Language Learners, Language Proficiency, Academically Gifted, Talent Identification
Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
Curran, F. Chris; Bal, Aydin; Goff, Peter; Mitchell, Nicholas – Education and Urban Society, 2021
Students placed in special education programs for emotional and behavioral disorders with emotional disturbance (ED) identification have academic outcomes that lag both students in regular and special education. This issue is especially important for youth attending urban schools. Although prior research has examined students identified as ED,…
Descriptors: Correlation, Suspension, Probability, Discipline

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