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Ramaswami, Gomathy; Susnjak, Teo; Mathrani, Anuradha; Umer, Rahila – Technology, Knowledge and Learning, 2023
Learning analytics dashboards (LADs) provide educators and students with a comprehensive snapshot of the learning domain. Visualizations showcasing student learning behavioral patterns can help students gain greater self-awareness of their learning progression, and at the same time assist educators in identifying those students who may be facing…
Descriptors: Prediction, Learning Analytics, Learning Management Systems, Identification
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Gena Nelson; Eunji Kong; Sarah Quinn; Derek Kosty; Emily J. Wilke; Ben Clarke – Learning Disabilities Research & Practice, 2025
This scoping review describes mathematics intervention studies that include initial skill moderation analyses. Sixteen studies were included that focused on students with or at risk for mathematics difficulties (MD). The results revealed that mathematics intervention studies with initial skill moderation analyses focused on students in…
Descriptors: Mathematics Instruction, Intervention, Mathematics Skills, Educational Research
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Sheryl Bennett; Erin D. Maughan; Sarah DeCato; Emily Poland; Beth E. Jameson – Journal of School Nursing, 2025
School health services have been described as the "hidden healthcare" system because of their isolation within schools and from other healthcare providers. This isolation may inhibit innovations in school healthcare delivery. Hence, there is a need to identify and characterize various delivery models. This review examines models to…
Descriptors: School Health Services, Delivery Systems, Models, School Community Programs
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Rebecca S. Levine – Afterschool Matters, 2024
As communities grapple with the harmful, inequitable effects of the COVID-19 pandemic, which have been particularly hard on low-income and marginalized youth, renewed attention has been directed toward how out-of-school time (OST) programs can help youth reconnect and re-engage. In this article, the results of a systematic literature review on the…
Descriptors: Low Income Students, Adolescents, Youth Programs, School Community Programs
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Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
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Dahl-Leonard, Katlynn; Hall, Colby; Capin, Philip; Solari, Emily J.; Demchak, Alisha; Therrien, William J. – Annals of Dyslexia, 2023
Early access to evidence-based reading intervention improves outcomes for students with or at risk for reading difficulties. Additionally, teacher implementation of reading interventions plays a key role in the efficacy of reading interventions. Previous research suggests the influence of intervention implementation fidelity on student language…
Descriptors: Fidelity, Intervention, Elementary School Students, At Risk Students
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Shabnam Ara, S. J.; Tanuja, R.; Manjula, S. H.; Venugopal, K. R. – Journal of Educational Technology Systems, 2023
Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Prediction
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Marianne Rice; Florina Erbeli; Kausalai Wijekumar – Intervention in School and Clinic, 2024
Phonemic awareness is a key building block for later reading and spelling development. Students at risk for reading difficulties may have difficulties with phonemic awareness and need additional instruction or intervention to develop these skills. This column discusses evidence-based phonemic awareness instruction and the implementation of…
Descriptors: Phonemic Awareness, Evidence Based Practice, Reading Difficulties, Intervention
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Sucharita Maji; Kumari Sarika – Journal of School Violence, 2024
Microaggression experienced by LGBTQIA+ (lesbian, gay, bisexual, transgender, queer, intersex, asexual, and having other sexual orientations and gender identities) persons have been exhaustively studied over the last decade. However, there is a dearth of psychological research examining the prevalence, forms, and consequences of LGBTQ…
Descriptors: LGBTQ People, Social Bias, Social Discrimination, Incidence
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Katie Pelton; Kathleen Lane – Society for Research on Educational Effectiveness, 2024
Universal behavior screening is used in schools worldwide to detect students with and at risk for behavioral challenges. As schools prepare to implement screening, they face a major decision: which screening tool to use. Several scholars have published recommendations to support education leaders in selecting a screening assessment (Glover &…
Descriptors: Screening Tests, Educational Research, Student Behavior, Behavior Problems
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Louick, Rebecca; Emery, Alyssa; Muenks, Katherine; O'Grady, Madeline – Topics in Language Disorders, 2023
Evidence indicates that well-planned vocabulary interventions can be highly effective in helping students with language-based learning disabilities to develop the necessary vocabulary skills for literacy success. Although many researchers recognize the general importance of attending to psychological factors such as student motivation in…
Descriptors: Vocabulary Development, Students with Disabilities, At Risk Students, Learning Disabilities
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Umer, Rahila; Susnjak, Teo; Mathrani, Anuradha; Suriadi, Lim – Interactive Learning Environments, 2023
Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…
Descriptors: Prediction, Student Behavior, Models, Academic Achievement
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Peter LeViness – Journal of College Student Mental Health, 2024
Mental health problems are learning problems. Students seeking services at campus counseling centers are at increased risk of attrition. If the retention rate of college students seeking counseling center services is close to the retention rate of the overall student population, this is evidence of a significant positive effect for counseling…
Descriptors: Journal Articles, Longitudinal Studies, Counseling Services, Mental Health
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Guerra, Jillian; Bright, David – Journal of School Counseling, 2021
School attendance problems (SAPs) have traditionally been viewed as a result of behavioral challenges in student populations. Increasing evidence suggests, however, that a substantial portion of SAPs and school refusal behaviors are related to underlying anxiety in students. The school counselor, as an advocate for all students, is well-positioned…
Descriptors: Anxiety, School Counselors, Attendance Patterns, Student Behavior
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Lane, Justin D.; Graley, Devin; Shepley, Collin; Lynch, Katherine M. – Remedial and Special Education, 2023
Naturalistic language interventions are commonly recommended to educators when teaching children to reliably share their wants, interests, and feelings with others. Recommendations include providing focused attention on a child and embedding multiple instructional opportunities within and across activities. Although such practices are commonly…
Descriptors: Intervention, Verbal Communication, Children, Interpersonal Competence
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