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Jennifer E. Kong – Sage Research Methods Cases, 2025
English learner (EL) students are a heterogeneous group with unique needs and the challenges of acquiring a new language while also learning grade-level academic content. Math word problems pose a challenge for some EL students who are at risk for math disabilities. This study, conducted by myself and H. Lee Swanson, used a single-case research…
Descriptors: Research Design, Case Studies, Educational Research, Intervention
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Lukas Baumanns; Demetra Pitta-Pantazi; Eleni Demosthenous; Achim J. Lilienthal; Constantinos Christou; Maike Schindler – International Journal of Science and Mathematics Education, 2024
Recognizing patterns is an essential skill in early mathematics education. However, first graders often have difficulties with tasks such as extending patterns of the form ABCABC. Studies show that this pattern-recognition ability is a good predictor of later pre-algebraic skills and mathematical achievement in general, or the development of…
Descriptors: Pattern Recognition, Grade 1, Elementary School Students, Mathematics Education
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Syeda Sharjina Akther; Sarah R. Powell; Danielle O. Lariviere – Learning Disabilities Research & Practice, 2025
Counting is foundational to success with mathematics. In this synthesis, we analyzed 17 studies about counting-focused interventions for preschool and kindergarten students with mathematics difficulty or at-risk of mathematics difficulty. All interventions addressed several components of counting, including stable order, one-to-one correspondence,…
Descriptors: Computation, Mathematics Skills, Learning Problems, Mathematical Concepts
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Kaitlin Bundock; Gregory Callan; Maryellen Brunson McClain; Chandler M. Benney; David N. Longhurst; Kristen R. Rolf – Journal of Learning Disabilities, 2025
Rate of change (i.e., slope) is a critical mathematics concept for success in everyday life, academics, and professional careers. Students with or at risk of learning disabilities struggle with solving rate-of-change problems, especially word problems. Interventions that incorporate representations and problem-solving strategies are effective for…
Descriptors: Mathematical Concepts, Mathematics Instruction, Problem Solving, Secondary School Students
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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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Jiyung Hwang; Jiwon Hwang; Jessica Rodrigues; Min-Kyung Han – Elementary School Journal, 2024
The present study used the Early Childhood Longitudinal Study, Kindergarten Class of 2011 (ECLS-K:2011) to examine the bidirectionality and co-occurrence between math achievement and behavioral outcomes of upper elementary school students. We analyzed the cross-lagged relations across four groups of students who had different initiating statuses…
Descriptors: Mathematics Achievement, Student Behavior, At Risk Students, Elementary School Students
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Ennis, Robin Parks; Royer, David James; Hosp, John L. – Preventing School Failure, 2022
Students with both academic and behavioral risk factors can benefit from participation in self-regulated strategy development (SRSD) instruction. Educators can use systematic screening procedures as part of effective data-informed decision making for identifying students who could benefit from SRSD. In this manuscript we detail screening…
Descriptors: Elementary Secondary Education, Screening Tests, Identification, Behavior Problems
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Viesel-Nordmeyer, Nurit; Reuber, Julia; Kuhn, Jörg-Tobias; Moll, Kristina; Holling, Heinz; Dobel, Christian – Educational Psychology Review, 2023
The causes underlying comorbid learning difficulties in reading (RD) and math (MD) are still a matter of debate. Based on current research, two models for the relation of the cognitive profile of isolated and combined learning difficulties (RDMD) are discussed. Regarding the "multi-deficit model", the profile of RDMD is characterized by…
Descriptors: Student Characteristics, Comorbidity, Reading Difficulties, Learning Problems
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Grünke, Matthias; Barwasser, Anne; Bräuer, Noan; Connelly, Vincent – Insights into Learning Disabilities, 2023
The purpose of this study was to evaluate the effects of a simple motivational treatment (consisting of immediate feedback, goal setting, and positive reinforcement) on the reading performance of an 11-year-old boy with learning difficulties. We applied an ABAB reversal design to test the impact of our approach. The dependent measure was the…
Descriptors: Reading Achievement, Student Motivation, Learning Problems, Feedback (Response)
Chenghao Wang – ProQuest LLC, 2023
Problem-solving has been playing an important role in predicting students' academic achievement, cognitive skills, and future careers. It plays an even more important role in English learners (ELs), especially those who are at-risk for math learning difficulties, because they face more severe challenges in language. As more English learners…
Descriptors: Student Motivation, Short Term Memory, Problem Solving, English Language Learners
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Laura A. Outhwaite; Pirjo Aunio; Jaimie Ka Yu Leung; Jo Van Herwegen – Educational Psychology Review, 2024
Successful early mathematical development is vital to children's later education, employment, and wellbeing outcomes. However, established measurement tools are infrequently used to (i) assess children's mathematical skills and (ii) identify children with or at-risk of mathematical learning difficulties. In response, this pre-registered systematic…
Descriptors: Mathematics Tests, Screening Tests, Mathematics Skills, At Risk Students
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Anne Karttunen; Airi Hakkarainen; Leena Holopainen – International Journal of Educational Psychology, 2023
The aim of this longitudinal study was to examine how adolescents' school burnout profiles relate to perceived learning difficulties and delayed graduation in upper secondary education. Adolescents (N = 485, mean age 15.7 years) living in a mid-sized city in Finland completed questionnaires during their upper secondary education in either the…
Descriptors: Burnout, Learning Problems, Educational Attainment, Secondary School Students
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Kong, Jennifer E.; Arizmendi, Genesis D.; Doabler, Christian T. – TEACHING Exceptional Children, 2023
This article focuses on implementing the Science of Math through a culturally responsive framework designed to support culturally and linguistically diverse students in math classrooms. We consider the influence of (second) language acquisition and instructional environments for students in addition to specific ways to increase instructional…
Descriptors: Culturally Relevant Education, Student Diversity, Second Language Learning, Educational Environment
Center for MH in Schools and Student/Learning Supports at UCLA, 2022
The number of students manifesting learning, behavior, and emotional problems far outstrips the ways schools deal with these matters. As school board members and administrators know, existing programs, services, and special initiatives tend to be fragmented and often engender fights over turf and counterproductive competition for sparse resources.…
Descriptors: Boards of Education, Board of Education Role, Behavior Problems, Learning Problems
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