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Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
Emma James; Paul A. Thompson; Lucy Bowes; Kate Nation – Developmental Science, 2025
Children with poor reading comprehension tend to have oral language weaknesses, suggesting that poor language in the early years is a proximal cause of later reading comprehension difficulties. Yet, longitudinal studies have not succeeded in reliably predicting which children go on to have comprehension weaknesses (CW), and evidence comprises…
Descriptors: Reading Comprehension, Reading Difficulties, Predictor Variables, Foreign Countries
Michael L. Chrzan; Francis A. Pearman; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events -- defined as a district closing at least 10% of its schools -- five years in advance. Leveraging…
Descriptors: Artificial Intelligence, Electronic Learning, School Districts, School Closing
Jennifer Greif Green; Manuel Ramirez; Gabriel J. Merrin; Melissa K. Holt – School Mental Health, 2024
Bias-based (also called identity-based) harassment refers specifically to a subset of peer victimization that targets a person's identity, such as their gender identity, religion, immigration status, sexual orientation, race, or ethnicity. Research indicates that bias-based harassment is a particularly devastating form of victimization that has an…
Descriptors: Youth, Adolescents, Bias, Bullying
Steacy, Laura M.; Edwards, Ashley A.; Rigobon, Valeria M.; Gutiérrez, Nuria; Marencin, Nancy C.; Siegelman, Noam; Himelhoch, Alexandra C.; Himelhoch, Cristina; Rueckl, Jay; Compton, Donald L. – Reading Research Quarterly, 2023
Quasiregular orthographies such as English contain substantial ambiguities between orthography and phonology that force developing readers to acquire flexibility during decoding of unfamiliar words, a skill referred to as a "set for variability" (SfV). The ease with which a child can disambiguate the mismatch between the decoded form of…
Descriptors: Children, Dyslexia, Predictor Variables, Word Recognition
Robin Clausen – Grantee Submission, 2024
Early warning systems (EWS) using analytical tools that have been trained against prior years' data, can reliably predict dropout risk in individual students so that educators may intervene early to help avert this from happening. Risk profiles for dropouts aren't always useful since students often do not conform to the profiles. Researchers with…
Descriptors: Early Intervention, Predictor Variables, Potential Dropouts, At Risk Students
Patricia Everaert; Evelien Opdecam; Hans van der Heijden – Accounting Education, 2024
In this paper, we examine whether early warning signals from accounting courses (such as early engagement and early formative performance) are predictive of first-year progression outcomes, and whether this data is more predictive than personal data (such as gender and prior achievement). Using a machine learning approach, results from a sample of…
Descriptors: Accounting, Business Education, Artificial Intelligence, College Freshmen
Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Ormiston, Heather E.; Renshaw, Tyler L. – School Mental Health, 2023
Universal screening for social, emotional, and behavioral risk is an important method for identifying students in need of additional or targeted support (Eklund and Dowdy in School Mental Health 6:40-49, 2014). Research is needed to explore how potential bias may be implicated in universal screening. We investigated student demographics as…
Descriptors: Student Characteristics, Predictor Variables, At Risk Students, Student Placement
Nichols, Bryan E.; Springer, D. Gregory – Journal of Research in Music Education, 2022
The purpose of this study was to investigate possible predictive relationships between interval identification and melodic dictation performance on tasks where students identify short pitch spans after a brief tonicization. College musicians (N = 35) completed an interval identification test and a series of melodic dictation tasks. Results…
Descriptors: Music Education, Musicians, College Students, Music
Karen L. Schwartz – ProQuest LLC, 2024
For over 100 years, youth mentoring has grown to be an evidenced based prevention strategy for youth, demonstrating positive youth outcomes through strong relationships with caring adults. While trusting relationships are the mainstay of the positive impacts achieved through mentoring, the difficulty in recruiting volunteer adults has not met the…
Descriptors: Mentors, Youth Programs, Volunteers, Individual Characteristics
Meyers, Coby V.; Wronowski, Meredith L.; VanGronigen, Bryan A. – Educational Assessment, Evaluation and Accountability, 2021
School improvement research has insufficiently considered the importance of intervening in schools with declining academic performance. Fields such as engineering and medicine have prioritized predicting decline to save structures or patients before they are in peril. Unfortunately, in education, school improvement policies and interventions are…
Descriptors: Identification, Educational Improvement, Academic Achievement, Predictor Variables
Maxwell Peprah Opoku; J. -F.; Shakila Nur; Tony Dowden; Shashidhar Belbase; Ashraf Moustafa – International Journal of School & Educational Psychology, 2025
When working with students with disabilities who are prone to trauma, it is vital for teachers to be able to identify and manage trauma. Given that students with disabilities have varying levels of trauma, this study assessed teachers' self-reported competence toward trauma identification and trauma-informed practice among students with…
Descriptors: Foreign Countries, Trauma Informed Approach, Students with Disabilities, Trauma

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