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Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Aaron S. Horn; Olena G. Horner; David A. Tandberg; Robert K. Toutkoushian; Shaun N. Williams-Wyche – Journal of Education Finance, 2023
This study estimates the effect of state appropriations on the graduation rates of freshman cohorts by race/ethnicity. Data were obtained for public four-year institutions (n = 415) representing six freshman cohorts between 2007 and 2012. Hybrid regression models indicated that a ten percent increase in appropriations would yield a percentage…
Descriptors: State Aid, Graduation Rate, Student Diversity, College Graduates
Hall, Jessica; Owen Van Horne, Amanda; Farmer, Thomas – Journal of Child Language, 2018
The goal of this study was to determine if typically developing children could form grammatical categories from distributional information alone. Twenty-seven children aged six to nine listened to an artifcial grammar which contained strategic gaps in its distribution. At test, we compared how children rated novel sentences that ft the grammar to…
Descriptors: Grammar, Classification, Children, Comparative Analysis
Morgan, David L. – Journal of Mixed Methods Research, 2018
Recently, a debate has arisen around what can be called the "indistinguishability thesis," that is, the claim that it is impossible to distinguish between qualitative and quantitative research. In contrast, this article argues that the inability to define simple, sharp boundaries around qualitative and quantitative research does not…
Descriptors: Research Problems, Ambiguity (Context), Qualitative Research, Mixed Methods Research
Kalkan, Ömür K.; Kelecioglu, Hülya; Basokçu, Tahsin O. – International Education Studies, 2018
The application of CDMs to fraction subtraction data revealed problems on the classification of examinees, latent class sizes, and the use of higher-order models. Additionally, selecting the most appropriate model assumes critical importance if there are several appropriate models available for the data. In the present study, DINA-RDINA and…
Descriptors: Comparative Analysis, Models, Item Response Theory, Multivariate Analysis
Snape, Simon; Krott, Andrea; McCleery, Joseph P. – Journal of Autism and Developmental Disorders, 2018
Individuals with ASD seem to construct categories via processes different to typically developing individuals. We examined whether individuals with ASD engage in structural alignment of exemplars when constructing categories. We taught children with ASD and typically developing children novel nouns for either single or multiple exemplars, and then…
Descriptors: Children, Autism, Pervasive Developmental Disorders, Classification
Understanding the Typology of Families Who Move for Their Child's Schooling: A Latent Class Analysis
Daruwala, Iris – AERA Online Paper Repository, 2018
This study investigates the extent to which there is a typology of families who move to a new neighborhood so their child can attend a particular school. By conducting a Latent Class Analysis with a nationally representative dataset, the NHES Parent and Family Involvement in Education Survey (n=2,693), I determine there are four significantly…
Descriptors: Migration, Family (Sociological Unit), School Choice, Classification
Erin N. Spencer; Mia Ocean; Matt Saboe; Simon Condliffe; Keith Hazen – Community College Journal of Research and Practice, 2024
U.S. rural community colleges serve approximately 3.4 million students, yet there is very little research on these institutions. We conducted a mulitple case study to develop a typology of rural community college locations. We gathered and analyzed publicly available data (n = 25) and private institutional data (n = 6) and conducted in-person…
Descriptors: Community Colleges, Rural Schools, Off Campus Facilities, Classification
Sivakorn Tangsakul; Kornwipa Poonpon – rEFLections, 2024
Given the significant global influence of the Common European Framework of Reference for Languages: Teaching, Learning, and Assessment (CEFR) on English language education, this study deals with aligning a university's academic reading tests to the CEFR. It aimed at validating the test construct of the academic reading tests in relation to the…
Descriptors: Alignment (Education), Reading Tests, Second Language Learning, Language Proficiency
Kristine Cody; JoAnna M. Scott; Melanie Simmer-Beck – Journal of American College Health, 2024
Objective: To identify the prevalence of anxiety, depression, and suicidal ideation that would place university students at risk for mental health disorders. To explore the source of stressors and possible interventions that may benefit student mental health in a university setting. Participants: University students (n = 483) who had been learning…
Descriptors: Mental Health, COVID-19, Pandemics, Anxiety
Luis Martínez-Izquierdo; Mónica Torres Sánchez – Research in Comparative and International Education, 2024
This paper examines the adoption of dual VET in Spain as a process of educational policy transfer. Using Phillips and Ochs' (2003, 2004) policy transfer spectrum and decision-making classification and Perry and Tor's (2008) model of transfer forms, the study relies on semi-structured interviews with key decision-makers in the Spanish central…
Descriptors: Foreign Countries, Vocational Education, Educational Policy, Decision Making
Shruti Taneja-Johansson; Justin J. W. Powell – European Journal of Special Needs Education, 2024
For decades, the Nordic countries have been admired for their inclusive education systems within egalitarian societies, bolstered by PISA studies and global calls to ensure inclusive education as a human right. This paper contrasts idealised perspectives on Nordic education with internal experiences, exploring recent challenges to the relationship…
Descriptors: Special Education, Educational Practices, Students with Disabilities, Equal Education
Fahmi Gunawan; Lidya Eka Saputri; Batmang; Muslihin Sultan; Saad Boulahnane – Eurasian Journal of Applied Linguistics, 2024
Textbooks are often used to disseminate attitudes, values, and knowledge to reconstruct a discourse narrative. This study examines the neoliberalism values in the Indonesian textbooks of the Arabic language using Ghunter Kress's multimodal theory and the perception of Arabic language teachers in Madrasah Aliyah in Indonesia. The data was collected…
Descriptors: Neoliberalism, Arabic, Information Technology, Textbooks
Gerrard-Longworth, Simon; Preece, Stephen J.; Clarke-Cornwell, Alexandra M.; Goulermas, Yannis – Measurement in Physical Education and Exercise Science, 2020
Previous activity classification studies have typically been performed on normal weight individuals. Therefore, it is unclear whether a generic classification algorithm could be developed that would perform consistently across individuals who fall within different BMI categories. Acceleration data were collected from the hip and ankle joints of 50…
Descriptors: Classification, Body Weight, Body Height, Body Composition
Maniktala, Mehak; Cody, Christa; Isvik, Amy; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – Journal of Educational Data Mining, 2020
Determining "when" and "whether" to provide personalized support is a well-known challenge called the assistance dilemma. A core problem in solving the assistance dilemma is the need to discover when students are unproductive so that the tutor can intervene. Such a task is particularly challenging for open-ended domains, even…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Helping Relationship, Prediction

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