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Berriri, Mehdi; Djema, Sofiane; Rey, Gaëtan; Dartigues-Pallez, Christel – Education Sciences, 2021
Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…
Descriptors: Student Evaluation, Artificial Intelligence, Classification, Foreign Countries
Wang, Jiandong; Liu, Jin; DiStefano, Christine; Pan, Gaofeng; Gao, Ruiqin; Tang, Jijun – Journal of Psychoeducational Assessment, 2021
Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…
Descriptors: Children, Psychological Patterns, Child Behavior, At Risk Persons
Makaroglu, Bahtiyar – Journal of Language and Linguistic Studies, 2021
From the point of word formation, the phenomenon of lexical blending is a common productive process, entailing the notion of combination of lexemes in so many languages. In the vast majority of literature on blends, they preserve a linear formation of segments with a shortening of both lexemes. However, in sign languages where morphological…
Descriptors: Sign Language, Morphology (Languages), Classification, Computational Linguistics
Kim, Eunsook; von der Embse, Nathaniel – Educational and Psychological Measurement, 2021
Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…
Descriptors: Probability, Models, Statistical Analysis, Congruence (Psychology)
Sahin, Muhittin; Ulucan, Aydin; Yurdugül, Halil – Education and Information Technologies, 2021
E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…
Descriptors: Electronic Learning, Data Collection, Decision Making, Evaluation Criteria
Souabi, Sonia; Retbi, Asmaâ; Idrissi, Mohammed Khalidi; Bennani, Samir – Electronic Journal of e-Learning, 2021
E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…
Descriptors: Artificial Intelligence, Information Systems, Electronic Learning, Social Development
Pin, Tamis W.; So, Vincent K. K.; Siu, Cynthia S. H.; Yip, Sheila S. N.; Cheung, Stella See-wing; Kan, Jenny Yim-mui – Journal of Autism and Developmental Disorders, 2021
To examine reliability and validity of the new Social Motor Function Classification System for Children with Autism Spectrum Disorders (SMFCS-ASD). The SMFCS-ASD reliability was examined on 25 children (62.4 months SD 7.8) with ASD among six physical therapists. The validity study involved 1001 children (57.0 months, SD 9.9) with ASD using the…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Classification
Wind, Stefanie A.; Jones, Eli; Bergin, Christi – School Effectiveness and School Improvement, 2021
Classroom observation is a common approach to teacher evaluation. Yet, concerns about differences in rater judgment are widespread. Despite this concern, few researchers have examined the practical impact of such differences in rater judgments on teachers' judged effectiveness. This study fills that gap. Using data from a large-scale teacher…
Descriptors: Principals, Teacher Evaluation, Interrater Reliability, Elementary School Teachers
Sengül, Yasemin; Ökcün-Akçamus, Meral Çilem; Bakkaloglu, Hatice – European Journal of Special Needs Education, 2021
The aim of this study was to examine classification accuracy for the expressive language skills of children with autism spectrum disorder (ASD) in terms of object play and imitation scores. A total of 61 children with ASD, who were 2.0-5.11 years old, were included in the study. In order to collect data play and imitation assessment tasks which…
Descriptors: Autism, Pervasive Developmental Disorders, Expressive Language, Language Skills
Olsen, Lisa K.-P.; Bixler, Robert D.; Powell, Gwynn M.; Garst, Barry A.; Stephens, Laura E.; Switzer, Deborah M. – Journal of Outdoor Recreation, Education, and Leadership, 2021
The camp community understands that participation in camp produces a variety of impacts; what is less understood are the causal mechanisms leading to outcomes. In the past, research on the camp experience treated causal mechanisms as monolithic; this commentary argues that a weakness in existing camp research is the assumption that…
Descriptors: Classification, Summer Programs, Resident Camp Programs, Day Camp Programs
Anderson, Rick; Wiles, Peter – Mathematics Teacher: Learning and Teaching PK-12, 2021
As children progress through the elementary grades, they are expected to begin to use attributes of shapes to name and classify them. When listening to children talk about shapes, it becomes clear that the process of learning to reason geometrically is complex. Recognizing the complex nature of students' geometric reasoning, the authors present in…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Classification
Mandal, Sourav; Naskar, Sudip Kumar – IEEE Transactions on Learning Technologies, 2021
Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, which has gained momentum in the recent years. Applications of solving varieties of MWPs can increase the efficacy of teaching-learning systems, such as…
Descriptors: Classification, Word Problems (Mathematics), Problem Solving, Arithmetic
Mitnik, Pablo A.; Cumberworth, Erin – Sociological Methods & Research, 2021
Periodic changes in occupational classifications make it difficult to obtain consistent measures of social class over time, potentially jeopardizing research on class-based trends. The severity of this problem depends, in part, on the measurement strategies used to address those changes. The authors propose that when a sample has been coded partly…
Descriptors: Social Class, Occupations, Reliability, Measurement Techniques
Phillip Ward; Won Seok Chey; Insook Kim; Emi Tsuda; Bomna Ko; Dena Deglau; Kyuil Cho – Journal of Teaching in Physical Education, 2024
Purpose: There is little known about the state of teacher education programs in this field. The aim of this article is to provide a descriptive analysis of physical education and health education teacher education programs in the United States. Method: Using published curriculums, a census of active undergraduate teacher education programs and a…
Descriptors: Teacher Education Programs, Physical Education, Health Education, Institutional Characteristics
Anikó Fehérvári; Krisztián Széll – Intercultural Education, 2024
The present paper explores approaches to the classification of ethnic identity. In the framework of research on comparative classifications, we analyse the contextual factors that influence classification in Hungarian education. We compared the number of students who self-reported as Roma with the respective number reported by the school heads (as…
Descriptors: Minority Groups, Minority Group Students, Classification, Self Concept

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