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Taylor M. Reth – ProQuest LLC, 2023
The gap between skilled workers needed and skilled workers available increased since the start of the fourth industrial revolution. Employees now need different knowledge, skills, and abilities to enter the workforce and stay current with new technologies than they did in the past. One way this knowledge gap and skilled worker shortage could be…
Descriptors: Manufacturing, Technology Education, Training, Educational Needs
Pimpuang, Kowit; Yuttapongtada, Methawee – LEARN Journal: Language Education and Acquisition Research Network, 2023
The objectives of this research article were to study the relations of Sanskrit to English, to investigate English words identified as of Sanskrit origin which are loanwords in the Thai language and to explore the effects of using WordWall gamification for English words of Sanskrit origin in Thai learning. The samples consisted of seven master's…
Descriptors: Classical Languages, Linguistic Borrowing, Thai, Intervention
Aleyna Altan; Zehra Taspinar Sener – Online Submission, 2023
This research aimed to develop a valid and reliable test to be used to detect sixth grade students' misconceptions and errors regarding the subject of fractions. A misconception diagnostic test has been developed that includes the concept of fractions, different representations of fractions, ordering and comparing fractions, equivalence of…
Descriptors: Diagnostic Tests, Mathematics Tests, Fractions, Misconceptions
Danielle Burgess – ProQuest LLC, 2023
The tendency for negation to appear early in the sentence, dubbed the "Neg-First principle" by Horn (1989:452), has been observed in the domains of typology, language contact, and language acquisition. Based on evidence from these fields, scholars have speculated about the source and universality of Neg-First biases affecting language…
Descriptors: Language Classification, Language Patterns, Language Usage, Morphemes
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
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
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Aadland, Torgeir; Aaboen, Lise – European Journal of Engineering Education, 2020
The future engineer is labelled an entrepreneurial engineer, having networking, teamwork, opportunity recognition, creativity, risk management, and discipline-specific skills. Therefore, entrepreneurship education is being increasingly introduced in engineering education. The various educational designs used to introduce entrepreneurship education…
Descriptors: Entrepreneurship, Engineering Education, Authentic Learning, 21st Century Skills

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