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Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – Education and Information Technologies, 2022
Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…
Descriptors: Individualized Instruction, At Risk Students, Intervention, Models
Andrés Rubio; Juan Carlos Oyanedel; Ferran Viñas; Javier Torres-Vallejos; Cristián Céspedes-Carreño; Danae Pedraza; Rami Benbenishty – European Journal of Psychology of Education, 2024
This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…
Descriptors: Intelligence, Psychopathology, Self Efficacy, Academic Ability
Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
Baneres, David; Rodriguez-Gonzalez, M. Elena; Guerrero-Roldan, Ana Elena – IEEE Transactions on Learning Technologies, 2023
Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…
Descriptors: Prediction, Models, Identification, Potential Dropouts
Sletten, Mira Aaboen; Tøge, Anne Grete; Malmberg-Heimonen, Ira – Scandinavian Journal of Educational Research, 2023
This cluster-randomised study investigated the effects of a Norwegian early warning system, the IKO model. IKO is a Norwegian acronym for identification, assessment, and follow-up, and the model aims to improve schools' abilities to identify and support students who are at risk of dropping out during the school year. The study involved 7677…
Descriptors: Attendance, Comparative Analysis, Secondary School Students, Foreign Countries
Compton, Donald L. – Learning Disability Quarterly, 2021
Multifactorial models of dyslexia have expanded how we consider heterogeneity within the population of children with dyslexia. These models are predicated on the idea that cognitive/linguistic risk factors are not deterministic but instead probabilistic, with the likelihood of difficulties involving an interaction between risk and protective…
Descriptors: Dyslexia, Etiology, Disability Identification, Intervention
Davis, Marcia H. – Journal of Education for Students Placed at Risk, 2023
U.S. Department of Education research indicates that early warning indicator systems are being used in at least half of high schools in the United States. Previous findings from an efficacy study of one early warning indicator and response system, the Early Warning Indicator (EWI) team model, indicated that ninth grade students in schools using…
Descriptors: High Schools, High School Students, Grade 9, Dropout Prevention
Ratib Lekhal; May-Britt Drugli; Lisa Karlsen; Stian Lydersen; Elisabet Solheim Buøen – European Early Childhood Education Research Journal, 2024
This study examined the effectiveness of the "Thrive by Three" intervention for 1- to 3-year-old's language development. Data from 78 childcare centres, 187 toddler classrooms, and 1561 children (91.4% native Norwegian) were included. Results revealed that children in the intervention group had slightly steeper language development than…
Descriptors: Intervention, Child Care Centers, Language Skills, Language Acquisition
Raviv, Tali; Smith, Mashana; Hurwitz, Laura; Gill, Tara L.; Baker, Sybil; Torres, Stephanie A.; Bowen, Iman E.; Cicchetti, Colleen – Psychology in the Schools, 2022
Investing in school mental health programs has the potential to improve youths' access to mental health services. Barriers to the implementation of school mental health programs include limited workforce capacity, competing priorities, and lack of coordinated care. The current paper describes the history, development, and key components of the…
Descriptors: Positive Behavior Supports, Mental Health Programs, School Health Services, Program Implementation
Ridgley, Lisa M.; DaVia Rubenstein, Lisa; Callan, Gregory L. – Psychology in the Schools, 2020
Current theoretical and operational definitions of underachievement require that students show sustained suppressed academic achievement. Yet, early detection may allow for effective intervention before underachievement becomes a chronic issue. While existing identification procedures were not designed to detect underachievement before low…
Descriptors: Academically Gifted, Underachievement, Self Control, Independent Study
Lynnette Brice; Alison Harrison; Alan Cadwallader – Journal of Open, Flexible and Distance Learning, 2023
The purpose of this paper is to share insights gained from the discovery, design, and delivery phases of creating a three-tiered model of non-academic learning support in open, distance, and flexible learning (ODFL): "Learner Engagement and Success Services (LESS)", at Open Polytechnic | Te Pukenga, New Zealand. Presented as a case…
Descriptors: Ethics, Learning Analytics, Intervention, Foreign Countries
TeShaunda L. Hannor-Walker; Sarah O. Kitchens; Lacey A. Ricks; Lynn Bohecker; Jacque Walker – Journal of School-Based Counseling Policy and Evaluation, 2024
The commercial sexual exploitation of children is a growing concern around the world. Education about this concern is a key component to preventing further occurrences. The Committee for Children found few educational models in U.S. schools. School counselors play a significant role in preventing, identifying, and connecting students to community…
Descriptors: Sexual Abuse, Trauma Informed Approach, School Counselors, Counselor Role
Emily Bauer – ProQuest LLC, 2021
Mental health impacts on college campuses are on the rise. According to the National College Health Assessment, students reported increased depression and anxiety symptoms that overwhelmed their studies. Recent studies show that 1 in 6 undergraduates felt too depressed to function, 1 in 5 felt overwhelming anxiety, and 1 in 15 seriously considered…
Descriptors: Mental Health, Multiple Literacies, Student Personnel Workers, Masters Programs
Ring, Jeremiah; Black, Jeffrey L. – Annals of Dyslexia, 2018
Research demonstrates that phonological skills provide the basis of reading acquisition and are a primary processing deficit in dyslexia. This consensus has led to the development of effective methods of reading intervention. However, a single phonological deficit is not sufficient to account for the heterogeneity of individuals with dyslexia, and…
Descriptors: Dyslexia, Disability Identification, Intervention, Reading Difficulties

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