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Sebastian Castrechini; Laurel Sipes – John W. Gardner Center for Youth and Their Communities, 2025
New California reporting requirements drawing attention to outcomes for Long-Term English Learners (LTELs) opens a window of opportunity for changes to better support these students. In spring 2023, the Stanford-Sequoia K-12 Research Collaborative (Sequoia Collaborative) agreed to key changes in the reclassification process for multilingual…
Descriptors: English (Second Language), English Learners, Classification, Barriers
Stuart Woodcock; Ian Hardy – Professional Development in Education, 2025
This paper explores the nature of the relationship between teacher self-efficacy for inclusion in schools, and professional development practices. The research draws on qualitative data from a larger 3-year study involving 140 primary teachers in rural, regional and urban schools throughout the state of New South Wales, Australia. The article…
Descriptors: Teacher Effectiveness, Self Efficacy, Inclusion, Faculty Development
Abdelilah Salim Sehlaoui; Karen Michelle Potter; Laurel L. Byrne – Review of Education, 2025
The purpose of this qualitative meta-analysis (QMA) is to provide a concise and comprehensive picture of findings across qualitative studies to answer this question: What factors contribute to systematically closing the opportunity gap for all students, and particularly for students labelled linguistically and culturally diverse? The ultimate goal…
Descriptors: Educational Opportunities, Achievement Gap, Student Diversity, Meta Analysis
Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
Mohanad Halaweh – Journal of Information Systems Education, 2025
Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…
Descriptors: Artificial Intelligence, Computer Uses in Education, Business Education, Information Systems
Samantha Rarrick – International Journal of Bilingual Education and Bilingualism, 2025
HSL and SSSL are two endangered sign languages of Hawai'i and Papua New Guinea, respectively. Mouthings of spoken words in signing, especially in smaller sign languages, is a growing topic in sign language linguistics. Here, I present an analysis of mouthings in HSL and SSSL. Mouthings in these languages may present patterns that are previously…
Descriptors: Foreign Countries, Sign Language, Human Body, Nonverbal Communication
Kroc, Edward; Olvera Astivia, Oscar L. – Educational and Psychological Measurement, 2022
Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of "passing" such a test,…
Descriptors: Multivariate Analysis, Cutting Scores, Classification, Measurement
Lee, Chansoon – Educational Measurement: Issues and Practice, 2022
Appropriate placement into courses at postsecondary institutions is critical for the success of students in terms of retention and graduation rates. To reduce the number of students who are misplaced, using multiple measures in placing students is encouraged. However, in practice most postsecondary schools utilize only a few measures to determine…
Descriptors: Classification, Models, Student Placement, College Students
Muller, Ashley Elizabeth; Ames, Heather Melanie R.; Jardim, Patricia Sofia Jacobsen; Rose, Christopher James – Research Synthesis Methods, 2022
Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful…
Descriptors: Artificial Intelligence, Man Machine Systems, Automation, Literature Reviews
Tessler, Michael Henry; Goodman, Noah D. – Cognitive Science, 2022
The meanings of natural language utterances depend heavily on context. Yet, what counts as context is often only implicit in conversation. The utterance "it's warm outside" signals that the temperature outside is relatively high, but the temperature could be high relative to a number of different "comparison classes": other…
Descriptors: Language Processing, Speech, Context Effect, Form Classes (Languages)
Luna, J. M.; Fardoun, H. M.; Padillo, F.; Romero, C.; Ventura, S. – Interactive Learning Environments, 2022
The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery (SD) approach based on MapReduce. The proposed SD approach, which is an extension of the well-known FP-Growth algorithm, considers emerging parallel methodologies like MapReduce to be able to cope…
Descriptors: Online Courses, Student Characteristics, Classification, Student Behavior
Vigo, Ronaldo; Doan, Charles A.; Zhao, Li – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The quest for determining the degree of learning difficulty associated with different types of categories has been instrumental in our understanding of human categorization behavior and, more broadly, human generalization. For instance, we now know that the topological nature of the dimensions (e.g., whether these are integral or separable) that…
Descriptors: Discrimination Learning, Classification, Learning Processes, Difficulty Level
Thurm, Audrey; Srivastava, Siddharth – American Journal on Intellectual and Developmental Disabilities, 2022
Individuals living with intellectual disability can have multiple co-occurring medical conditions including associated genetic diagnoses. The number of genetic etiologies associated with ID is growing, with some quite new and rare, and others more common and associated with what is often considered a syndrome. In the context of genetic etiologies…
Descriptors: Intellectual Disability, Comorbidity, Etiology, Genetics
Sáez Bondía, M. J.; Cortés Gracia, A. L. – Educational Action Research, 2022
The present work provides a review of two widely used approaches in educational research: action research and case study. Action research aims to improve educational practice by means of reflective cycles and shows variants according to a predominant paradigm, from technical to critical visions. A case study, described as an umbrella term, focuses…
Descriptors: Action Research, Educational Research, Case Studies, Classification
Zghida, Nour Eddine; Lamrani, Zouhaire; Janati-Idrissi, Rachid – Journal of Turkish Science Education, 2022
Several studies have been carried out regarding secondary school student's abilities in classifying plants in Latin-based countries, but never in the Arabic world. The aim of the current study is to measure Moroccan secondary high school students' abilities in classifying plants. The data were collected by administering a task individually to 230…
Descriptors: Foreign Countries, Secondary School Students, Plants (Botany), Classification

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