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Duaa Zahi Melhem; Ali Muhammad Al-Zoubi – Educational Process: International Journal, 2025
Background/purpose: This study examines whether Universal Design for Learning (UDL), based on the VARK model, can aid struggling students in mathematics in developing their statistical thinking skills. Additionally, the proposed study examines the relationship between learning preferences and the effect of these preferences on performance.…
Descriptors: Access to Education, Mathematics Instruction, Statistics Education, Elementary School Students
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Erginer, Ergin – Education Quarterly Reviews, 2022
If a learning disability is not defined, it can be said that primary school children show the features of adaptable students within the learning atmosphere of the classroom. Most of the time, teachers think that they teach and their students learn easily. However, studies on children's memory show that the learning process gets abstract when the…
Descriptors: Learning Disabilities, Cognitive Style, Elementary School Students, Educational Environment
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R., Malini; Thomas, Immanuel – Journal of Psychoeducational Assessment, 2022
Though several studies have been undertaken to explore the correlates of academic achievement, there is a dearth of studies relating to the cognitive profiles of children who show marked discrepancies between their cognitive potential and actual academic achievement. The present study was undertaken in this context. The study was conducted on a…
Descriptors: Children, Intelligence Tests, Verbal Learning, Diagnostic Tests
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Richardson, Gregory – Educational Research and Reviews, 2021
The number of students with learning disabilities in post-secondary institutions has grown substantially, and those with dyslexia compile the largest subgroup. This study explores the utility conceptualization of dyslexia by analyzing the subjective experiences of 30 students from two 2-year institutions. Interviews confirmed that these students…
Descriptors: Dyslexia, Learning Disabilities, Students with Disabilities, Two Year College Students
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Gupta, Sambhav; Chen, Yu – Journal of Information Systems Education, 2022
Supporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided…
Descriptors: Inclusion, Undergraduate Students, At Risk Students, Artificial Intelligence