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Jina Kim – Society for Research on Educational Effectiveness, 2024
Background: Despite historical efforts (Ellwood & Kane, 2000; Daun-Barnett, 2013; Perna, 2006; Kane, 1999), persisting inequities in higher education access underscore the need for innovative research approaches. Previous studies utilizing geospatial approaches often overlook critical dimensions like college readiness and financial aid while…
Descriptors: Access to Education, Equal Education, Higher Education, High School Students
Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Onoue, Akira; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
This study aimed to cluster learners based on the structures of the knowledge maps they created. Learners drew their own knowledge maps to reflect their learning activities. Our system collected individual knowledge maps from many learners and clustered them to generate an integrated version of the knowledge maps of each cluster. We applied the…
Descriptors: Concept Mapping, Learning Processes, Cluster Grouping, Graphs
Emily Gardiner; Anton R. Miller; Lucyna M. Lach – Journal of Developmental and Physical Disabilities, 2021
Background: Given the significant behavioral heterogeneity characterizing children with neurodevelopmental disorders and disabilities (NDD/D), the current study examined whether cluster analysis could classify a diverse sample into more homogeneous subgroups. Aims: We first utilized cluster analysis to identify subgroups of children demonstrating…
Descriptors: Intellectual Disability, Children, Neurodevelopmental Disorders, Cluster Grouping
Quy, Tai Le; Roy, Arjun; Friege, Gunnar; Ntoutsi, Eirini – International Educational Data Mining Society, 2021
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a "fair-representation" of the groups in terms of protected attributes like gender or race, is required for each cluster. Moreover, in many applications, to make…
Descriptors: Cluster Grouping, Artificial Intelligence, Mathematics, Computer Uses in Education
Hall, Matthew L.; De Anda, Stephanie – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purposes of this study were (a) to introduce "language access profiles" as a viable alternative construct to "communication mode" for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH…
Descriptors: Deafness, Hearing Impairments, Children, Profiles
Caroline Bartlett; Joseph R. Cimpian; Madeline Mavrogordato – Annenberg Institute for School Reform at Brown University, 2024
Reclassification, the process by which English learner (EL) students exit EL classification, often determines ELs' access to mainstream academic coursework. While existing research finds that many students who demonstrate English proficiency do not reclassify, few studies evaluate policies that effectively reclassify eligible students. This study…
Descriptors: English (Second Language), Second Language Learning, Language Proficiency, Labeling (of Persons)
Goodson, Aaron – Journal of Negro Education, 2020
Follow-up studies of clustering by academic major, the dynamic of 25% or more of the student-athletes on a roster pursuing the same academic major, indicate that it still occurs in revenue-generating sports. Research on clustering is absent in member institutions of different NCAA divisions, institutions with unique missions, specifically…
Descriptors: Majors (Students), Black Colleges, African American Students, Student Athletes
Connors, Maia C.; Farrar, Isabel C.; Stein, Amanda G.; Ehrlich, Stacy B.; Francis, John; Kabourek, Sarah E.; Easton, John Q. – Start Early, 2020
The process and results of defining neighborhoods may look different depending on the purpose. In this brief, the authors focused on how neighborhoods in Chicago are defined. The initial goal of this work was to answer questions about how access to and enrollment in school-based pre-kindergarten (pre-k) may have varied by neighborhood…
Descriptors: Neighborhoods, Definitions, Access to Education, Urban Areas
Tanja Kovacic; Cormac Forkan – Irish Educational Studies, 2024
Young people who are either at risk of disengaging or disengaged from mainstream education in Ireland are often supported by what is termed 'out-of-school' or the 'alternative education' sector. A recent review of out-of-school education provision (Department of Education. 2022. "Review of Out-of-School Educational Provision." Dublin:…
Descriptors: Foreign Countries, Nontraditional Education, Inclusion, Mainstreaming
Misun Seo – Journal of Pan-Pacific Association of Applied Linguistics, 2021
This study examined Korean learners' production of intervocalic English biconsonantal clusters consisting of /p/, /t/, /k/, /m/, /n/, or /[eng] / followed by /l/ or /[voiced alveolar approximant]/. The results of the production experiment showed several factors influencing Korean learners' production. First, Korean learners' production was…
Descriptors: Second Language Learning, English (Second Language), Phonemes, Korean
Luke Keele; Matthew Lenard; Lindsay Page – Annenberg Institute for School Reform at Brown University, 2021
In education settings, treatments are often non-randomly assigned to clusters, such as schools or classrooms, while outcomes are measured for students. This research design is called the clustered observational study (COS). We examine the consequences of common support violations in the COS context. Common support violations occur when the…
Descriptors: Cluster Grouping, Educational Environment, Outcomes of Treatment, Compliance (Psychology)
Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement
Betul Tonbuloglu – Turkish Online Journal of Distance Education, 2023
This study aimed to reveal the trend of research on e-assessment in the field of educational sciences through scientific mapping and bibliometric analyses. For this purpose, the numerical distribution of research on e-assessment, citation analysis, research themes and the change of trend topics were examined. The publications to be examined were…
Descriptors: Educational Assessment, Electronic Learning, Educational Research, Citation Analysis
Talebinamvar, Mobina; Zarrabi, Forooq – Language Testing in Asia, 2022
Feedback is an essential component of learning environments. However, providing feedback in populated classes can be challenging for teachers. On the one hand, it is unlikely that a single kind of feedback works for all students considering the heterogeneous nature of their needs. On the other hand, delivering personalized feedback is infeasible…
Descriptors: Feedback (Response), Writing Evaluation, Writing (Composition), Learning Analytics

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