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Jaki, Thomas; Kim, Minjung; Lamont, Andrea; George, Melissa; Chang, Chi; Feaster, Daniel; Van Horn, M. Lee – Educational and Psychological Measurement, 2019
Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…
Descriptors: Sample Size, Computation, Regression (Statistics), Reliability
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Kooken, Janice; McCoach, D. Betsy; Chafouleas, Sandra M. – Journal of Experimental Education, 2019
Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…
Descriptors: Statistical Analysis, Middle School Students, Hierarchical Linear Modeling, Student Behavior
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LaTourrette, Alexander; Waxman, Sandra R. – Developmental Science, 2019
There is considerable evidence that labeling supports infants' object categorization. Yet in daily life, most of the category exemplars that infants encounter will remain unlabeled. Inspired by recent evidence from machine learning, we propose that infants successfully exploit this sparsely labeled input through "semi-supervised…
Descriptors: Naming, Classification, Identification, Infants
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Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
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Zingle, Gabriel; Radhakrishnan, Balaji; Xiao, Yunkai; Gehringer, Edward; Xiao, Zhongcan; Pramudianto, Ferry; Khurana, Gauraang; Arnav, Ayush – International Educational Data Mining Society, 2019
Peer assessment has proven to be a useful strategy for increasing the timeliness and quantity of formative feedback, as well as for promoting metacognitive thinking among students. Previous research has determined that reviews that contain suggestions can motivate students to revise and improve their work. This paper describes a method for…
Descriptors: Peer Evaluation, Formative Evaluation, Evaluation Methods, Classification
Crossley, Scott A.; Kim, Minkyung; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2019
Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students' summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However,…
Descriptors: Automation, Writing Evaluation, Natural Language Processing, Artificial Intelligence
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Catherine Bovill – International Journal for Students as Partners, 2019
In higher education discourse, reference to co-creation, partnership, and student engagement (to name but a few of the commonly used terms), covers a very wide range of different research and practice. This variety can often be confusing. In response, I present a co-creation of learning and teaching typology, which is a practical resource intended…
Descriptors: Classification, Cooperation, Higher Education, Teacher Student Relationship
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Tristan Bunnell; Alexander Gardner-Mctaggart – International Journal of Leadership in Education, 2025
The number of schools delivering a non-national curriculum in English outside an English-speaking nation has doubled in size since 2012 and numbered 12,000 by 2021. However, the well-recognized paradoxical situation of how these supposedly values and ethically driven institutions can continuously discriminate in favor of certain types of educators…
Descriptors: International Schools, Advantaged, Leadership Role, School Administration
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Ilana M. Umansky; Manuel Vazquez Cano; Lorna M. Porter – Educational Evaluation and Policy Analysis, 2024
Federal law defines eligibility for English learner (EL) classification differently for Indigenous students compared with non-Indigenous students. To be EL-eligible, non-Indigenous students are required to have a non-English primary language. Indigenous students, by contrast, can be English-dominant or English monolingual. A critical question,…
Descriptors: English Language Learners, Classification, Indigenous Populations, Alaska Natives
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Catherine Akoth Ongoro; Yong-Yi Fanjiang – IEEE Transactions on Learning Technologies, 2024
This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors…
Descriptors: Game Based Learning, Elementary School Students, Preschool Education, Creativity
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Tye A. Ripma; David E. DeMatthews; Catherine K. Voulgarides – Journal of Cases in Educational Leadership, 2024
This case highlights the moral and ethical dilemmas that principals and educators confront when making decisions about special education classification and placement, particularly in the context of racial disproportionality. These decisions are complex, influenced by the requirements of the Individuals with Disabilities Education Act (IDEA) and…
Descriptors: Ethics, Decision Making, Administrator Role, Teacher Role
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Akram Ramezanzadeh – Language and Intercultural Communication, 2024
This study, conducted in Iran, examined English teachers' experience of authenticity, as the performative dimension of authentication, through a conceptual framework revolving around Durchsichtig (seeing through) and Handeln (action). Data were collected via big and small stories, and were hermeneutically analysed. Authenticity was seen through…
Descriptors: College Faculty, Language Teachers, Second Language Learning, Second Language Instruction
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Debbie A. Sanders; Shirley S. Mukhari – Education and Information Technologies, 2024
The purpose of this research is to analyse the support that lecturers need to be able to implement a blended learning approach successfully. Blended learning is now seen as an approach that can create engaging learning environments, to enhance students' self-directed learning and improve the whole learning experience. The study investigated the…
Descriptors: Teacher Attitudes, Blended Learning, Correlation, Foreign Countries
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Angela M. AuBuchon; Rebecca L. Wagner; Margaret Sackinsky – Developmental Psychology, 2024
Rehearsal is a form of self-talk used to support short-term memory. Historically, the study of rehearsal development has diverged from the study of self-talk more generally. The current experiment examines whether two characteristics of self-talk (impact of task difficulty and self-talk's narrative vs. planning purpose) are also observed in…
Descriptors: Inner Speech (Subvocal), Task Analysis, Difficulty Level, Word Lists
Karen Kurotsuchi Inkelas; Mimi Benjamin; Jody E. Jessup-Anger – Routledge, Taylor & Francis Group, 2024
This book offers a roadmap for developing, growing, and sustaining living-learning communities (LLCs) that promote student success and enhance the undergraduate experience. Drawing on the Best Practices Model presented in "Living-Learning Communities That Work," as well as updated research and rich, real-life examples from LLC…
Descriptors: Living Learning Centers, Higher Education, Educational Benefits, Undergraduate Students
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