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Shi, Yang; Mao, Ye; Barnes, Tiffany; Chi, Min; Price, Thomas W. – International Educational Data Mining Society, 2021
Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…
Descriptors: Artificial Intelligence, Program Effectiveness, Coding, Computer Science Education
Kara, Bennie – SAGE Publications Ltd (UK), 2021
"A Little Guide for Teachers: Diversity in Schools" aims to provide starting points for teachers and leaders in creating a curriculum, either across disciplines or within subjects, that is as deep and diverse as their students. "The Little Guide for Teachers" series is little in size but BIG on all the support and inspiration…
Descriptors: Diversity (Institutional), Curriculum Development, Language Usage, Models
Adam W. McCrimmon; Shawna M. Gray – Review Journal of Autism and Developmental Disorders, 2021
Diagnostic assessment for autism spectrum disorder (ASD) is a complex and often stressful process for parents. This systematic review synthesized results of 26 articles that reported on factors related to parental (dis)satisfaction with the diagnostic process for ASD. The results are described in terms of factors related to satisfaction and those…
Descriptors: Autism Spectrum Disorders, Identification, Clinical Diagnosis, Diagnostic Tests
Paul Embleton – ProQuest LLC, 2021
The processes used in identifying/diagnosing specific learning disabilities (SLDs) vary across settings and classification systems. Moreover, the theoretically and mathematically derived identification models (i.e., discrepancy model) have thus far not demonstrated adequate reliability and validity. The present study explores the utility of…
Descriptors: Artificial Intelligence, Disability Identification, Clinical Diagnosis, Learning Disabilities
Elizabeth L. Kaye; Victor Lozada; Connie Briggs – Literacy Research and Instruction, 2022
This article reports on a study designed to determine if the lowest achieving first-grade students who were identified by their school districts as at-risk for dyslexia can be distinguished from students who have initial reading and writing difficulties but did not present dyslexia characteristics. Thirty-six first-grade students from two…
Descriptors: Identification, Early Intervention, Disability Identification, Students with Disabilities
Watson, Penelope W. St J.; Alansari, Mohamed; Worrell, Frank C.; Rubie-Davies, Christine M. – Social Psychology of Education: An International Journal, 2020
Attitudes toward ethnic and racial identity have been linked to both wellbeing and maladaptive outcomes that affect belonging at school. Further, relatedness (or connectedness) as an indicator of school belonging has been positively associated with adaptive forms of motivation, acceptance of school, protection against risk factors, and scholastic…
Descriptors: Racial Identification, Identification (Psychology), Sense of Community, Foreign Countries
García, Agustín J.; Fong, Carlton J.; Regalado, Yvette M. – Educational Psychology Review, 2023
In the USA, over 600,000 student-athletes participate in nationally organized intercollegiate sports and occupy socially prominent spaces on college campuses. Although their athletic accomplishments often garner much attention, there is growing interest in collegiate student-athletes' academic achievement and its precursors. One set of factors…
Descriptors: Student Athletes, College Students, College Athletics, Student Motivation
Bury, Simon M.; Jellett, Rachel; Spoor, Jennifer R.; Hedley, Darren – Journal of Autism and Developmental Disorders, 2023
There has been a recent shift from person-first to identity-first language to describe autism. In this study, Australian adults who reported having a diagnosis of autism (N = 198) rated and ranked autism-terms for preference and offensiveness, and explained their choice in free-text. 'Autistic', 'Person on the Autism Spectrum', and 'Autistic…
Descriptors: Foreign Countries, Adults, Autism Spectrum Disorders, Language Usage
Gresham, Malia S.; Mann, Hayley; Ward, Gregory M.; Payne, Michelle A. – International Journal of Language & Communication Disorders, 2023
Background: Laryngectomy is a pivotal event in patients. lives, with pervasive and far-reaching effects. Understanding gender differences in these effects may improve care of laryngectomy patients. This paper describes gender differences in the experience after laryngectomy. Aim: To explore the similarities and differences in the laryngectomee…
Descriptors: Adults, Surgery, Speech Impairments, Experience
Gooderham, Suzanne – International Journal of Child Care and Education Policy, 2023
Research indicates that early intervention can improve long term outcomes for students who struggle early in school. However, in multi-layered organization such as the school system, many elements may come into play when deciding which students will receive support. This study examined these elements including system requirements and expectations…
Descriptors: Kindergarten, Young Children, Identification, Clinical Diagnosis
Patterson, Chris R.; York, Emily; Maxham, Danielle; Molina, Rudy; Mabrey, Paul, III – Journal of Learning Analytics, 2023
The anticipation, inclusion, responsiveness, and reflexivity (AIRR) framework (Stilgoe et al., 2013) is a novel framework that has helped those in science and technology fields shift their focus from products to the processes used to create those products. However, the framework has not been known to be applied to the development and…
Descriptors: Learning Analytics, Innovation, School Holding Power, At Risk Students
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – Education Next, 2023
Among the 50 states, 44 use free and reduced-price lunch enrollment to identify low-income students. These data are also commonly used to allocate federal, state, and local funding to schools serving low-income children. School and district poverty rates, as determined by free and reduced-price lunch enrollment, additionally feature prominently in…
Descriptors: Lunch Programs, Student Needs, Identification, Poverty
Karpunina, Evgeniya K.; Okunkova, Elena A.; Molchan, Alexey S.; Belova, Elena O.; Kuznetsova, Oksana A. – International Journal of Learning and Change, 2023
The purpose of the study is to form a methodological approach to managing the professional development of employees in order to achieve the maximum effect of the digital transformation of the organisation. The authors analysed the environment for implementing the processes of digitalisation of organisations in Russia, identified existing…
Descriptors: Foreign Countries, Employees, Professional Development, Administration
Meacham, Sohyun – Journal of Latinos and Education, 2023
This study analyzed how disabilities were portrayed in picturebooks with the Américas Book Award to address the intersectionality of LatinX racial identity and disabilities. The pool of 41 picturebooks recognized by the Américas Book from 1993 to 2020 was used as the data for our systematic content analysis. Then 22 picturebooks developmentally…
Descriptors: Disabilities, Picture Books, Hispanic Americans, Ethnicity
Lavi, Rachelle; Stokes, Mark A. – Autism: The International Journal of Research and Practice, 2023
Few instruments screen for autism spectrum disorder (ASD) among kindergarteners and older children. The Autism Screen for Kids and Youth (ASKY) is a 30-item parental questionnaire for 4- to 18-year-old children and adolescents available in Arabic, English, and Hebrew. We examined the sensitivity, specificity, and temporal stability of the Hebrew…
Descriptors: Autism Spectrum Disorders, Screening Tests, Children, Adolescents