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Peer reviewed
Direct linkKevin 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
Download full textMichael 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
Kelsey Young; Bryn Harris; Jennifer Hall-Lande; Amy Esler – Journal of Autism and Developmental Disorders, 2024
Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in…
Descriptors: Autism Spectrum Disorders, Eligibility, Predictor Variables, Children
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
Oscar W. H. Wong; Sandra S. M. Chan; Steven W. H. Chau; Winnie C. W. Chu; Carol S. W. Ho; Stephy W. S. Ho; Se Fong Hung; Samara Hussain; Kelly Y. C. Lai; Angela M. W. Lam; Holly H. L. Lo; Karen K. Y. Ma; Suk Ling Ma; Flora Y. M. Mo; Pak Chung Sham; Caroline K. S. Shea; Suzanne H. W. So; Kelvin K. F. Tsoi; Patrick W. L. Leung – Autism: The International Journal of Research and Practice, 2025
Epidemiological studies on autism lack representation from Asia. We estimated the prevalence of autism among children and youths in Hong Kong using a two-stage approach. In addition, we evaluated the psychometric properties of the screening instrument and explored sex differences within an epidemiological context. A random school-based sample of…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Epidemiology, Children
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
Thelma E. Uzonyi; Elizabeth R. Crais; Linda R. Watson; Sallie W. Nowell; Grace T. Baranek – Journal of Autism and Developmental Disorders, 2025
This study explored the salient characteristics of transactions within parent-child engagement and investigated relationships between transactional characteristics and future identification of autism. The main aims of the study were to (1) examine if parents/children and their initial behaviors impact the length of transaction; (2) determine…
Descriptors: Autism Spectrum Disorders, Parent Child Relationship, Behavior, Interaction
Terrill O. Taylor; Tamba-Kuii M. Bailey – Journal of Diversity in Higher Education, 2024
Research suggests support for harsher sanctions for wrongdoers increase in association with the perceived severity of the harm caused. To date, however, research has focused mostly on retributive modes of punishment and has less often addressed restorative sanctions. Furthermore, research has documented racial disparities in conduct sanctioning,…
Descriptors: College Students, Discipline, Restorative Practices, Racial Factors
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
Guo, Xipei; Hao, Xuemin; Deng, Wenbo; Ji, Xin; Xiang, Shuoqi; Hu, Weiping – International Journal of STEM Education, 2022
Background: Science identity is widely regarded as a key predictor of students' persistence in STEM fields, while the brain drain in STEM fields is an urgent issue for countries to address. Based on previous studies, it is logical to suggest that epistemological beliefs about science and reflective thinking contribute to the development of science…
Descriptors: Reflection, Thinking Skills, Identification (Psychology), Structural Equation Models
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
