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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
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
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
Soowoong Hwang; Jungjoon Kim; Ilhyeok Park – Measurement in Physical Education and Exercise Science, 2025
This study investigates the predictive validity of lower extremity strength, strength asymmetry, and soccer-specific fitness in talent identification among elite male youth soccer players. Employing a Retrospective Cohort design, we established a cohort consisting of K-League registered youth players, totaling 219 individuals (all males, aged 16…
Descriptors: Team Sports, Physical Fitness, Talent Identification, Males
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
Qixuan Wu; Hyung Jae Chang; Long Ma – Journal of Advanced Academics, 2025
It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Tate LeBlanc; Juan Ramón Arvizu-Sevilla; Aerika Brittian Loyd; Bernadette Sánchez; Lauren Applebaum – Journal for STEM Education Research, 2025
Despite facing systemic and persistent exclusion from STEM careers, Black and Latine youth show rising STEM aspirations during adolescence under certain conditions. Guided by meaning-making and career development perspectives, this study explores how ethnic-racial identity and career outcome expectations predict STEM aspirations among Black and…
Descriptors: Ethnicity, Racial Identification, Occupational Aspiration, Expectation
Lidia Rossi; Mara Soncin; Melisa Lucia Diaz Lema; Tommaso Agasisti – Educational Assessment, Evaluation and Accountability, 2025
Early identification of schools with a high percentage of students at risk of learning poverty is crucial for effective and targeted interventions. This study investigates the use of an innovative combination of large-scale administrative datasets and advanced statistical techniques to predict schools at risk of learning poverty in Italy in the…
Descriptors: Disadvantaged Schools, At Risk Students, Foreign Countries, Economically Disadvantaged
Amiru Bakariwie; Dominic Asamoah; Abudu Ballu Duwiejuah – Discover Education, 2025
Student attrition significantly hinders the achievement of Sustainable Development Goal 4. School counsellors, crucial in ensuring students stay in school and graduate, often face challenges in analysing data to prioritise interventions due to the complexity and volume of data. This study explored using data mining to support counsellors in…
Descriptors: Prevention, Student Attrition, School Counseling, Identification
Khanittha Sittitiamjan; Pongpisit Wuttidittachotti – Educational Process: International Journal, 2025
Background/purpose: This study investigates how knowledge, attitudes, and practices (KAP) influence cybersecurity awareness (CSA) among students in Thai educational institutions. The research addresses regional disparities in cybersecurity readiness by incorporating a culturally responsive adaptation of the KAP model. Materials/methods: A…
Descriptors: Computer Security, Computer Science Education, Foreign Countries, College Students
Michaela Andreadis; Tara C. Marshall – Journal of American College Health, 2025
Social isolation during the COVID-19 pandemic increased negative affect and feelings of loneliness among university students. Objective: Given that identifying as a member of a social group, like a university student, serves as a protective factor against diminished well-being, we examined whether students' social identity might offer a…
Descriptors: COVID-19, Pandemics, Distance Education, Sense of Belonging
