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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
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)
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
Sarah A. Bush; Rick Rudd; Curt R. Friedel; Thomas Archibald; Kerry J. Redican – Journal of Human Sciences & Extension, 2023
Youth have the capacity to drive positive change in their communities through active and engaged citizenship (AEC). Teen leadership programs provide youth with opportunities to develop the skills necessary to participate as partners in community problem-solving efforts. Situated in relational developmental systems metatheory, this study examined…
Descriptors: Citizenship Responsibility, Citizen Participation, Change Agents, Social Action
Çebi, Ayça; Güyer, Tolga – Education and Information Technologies, 2020
In this study, students' interactions with different learning activities are examined and the relation among learning performance with different interaction patterns, learning performance, self-regulated learning (SRL) strategies and motivation is presented. Learning materials including different kinds of activities are prepared and presented to…
Descriptors: Interaction, Behavior Patterns, Learning Analytics, Electronic Learning
Woods, Adrienne D.; Ahmed, Sammy F.; Katz, Benjamin D.; Morrison, Frederick J. – Journal of Learning Disabilities, 2020
We explored whether and how cognitive measures of executive function (EF) can be used to help classify academic performance in Kindergarten and first grade using nonparametric cluster analysis. We found that EF measures were useful in classifying low-reading performance in both grades, but mathematics performance could be grouped into low,…
Descriptors: Executive Function, Track System (Education), Cognitive Measurement, Kindergarten
Beena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
Demes, Kyle W.; Murphy, Gail C.; Burt, Helen M. – Journal of Research Administration, 2019
Over the last decade, a wealth of empirical evidence has accumulated describing the merits of team-based, collaborative, and interdisciplinary research, including: increased productivity among researchers, greater citation impact, increased multi-sector engagement, and the generation of novel solutions to grand challenges. Funding agencies have…
Descriptors: Educational Research, Foreign Countries, Partnerships in Education, Interdisciplinary Approach
Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
Curran, Michaela; Bloom, Quinn; Brint, Steven – Minerva: A Review of Science, Learning and Policy, 2020
For U.S. research universities, cluster hiring has become a popular means to add faculty members in university-defined priority fields. The expectation of advocates is that these faculty members will collaborate on high-impact research. Utilizing a national sample of 168 cluster-hire faculty members from eight U.S. research universities, we find…
Descriptors: Teacher Selection, Cluster Grouping, College Faculty, Researchers