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Bakker, Nelleke – History of Education, 2015
Between c.1945 and 1965 across the West special education has grown and differentiated substantially. In the Netherlands this expansion ran parallel to the academic recognition and rapid development of the study of learning disabilities. How are these two processes related? This article argues that in this country child science and special…
Descriptors: Educational History, Special Education, Foreign Countries, Learning Disabilities
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Bone, Daniel; Goodwin, Matthew S.; Black, Matthew P.; Lee, Chi-Chun; Audhkhasi, Kartik; Narayanan, Shrikanth – Journal of Autism and Developmental Disorders, 2015
Machine learning has immense potential to enhance diagnostic and intervention research in the behavioral sciences, and may be especially useful in investigations involving the highly prevalent and heterogeneous syndrome of autism spectrum disorder. However, use of machine learning in the absence of clinical domain expertise can be tenuous and lead…
Descriptors: Clinical Diagnosis, Autism, Pervasive Developmental Disorders, Artificial Intelligence
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Correia, F.; Café, C.; Almeida, J.; Mouga, S.; Oliveira, G. – Journal of Autism and Developmental Disorders, 2015
Autism spectrum disorder (ASD) is characterized by impaired social interaction and communication, restricted interests and repetitive behaviors. Fragile X E is associated with X-linked non-specific mild intellectual disability (ID) and with behavioral problems. Most of the known genetic causes of ASD are also causes of ID, implying that these two…
Descriptors: Pervasive Developmental Disorders, Autism, Etiology, Behavior Problems
Mills, Caitlin; D'Mello, Sidney – International Educational Data Mining Society, 2015
This paper reports the results from a sensor-free detector of mind wandering during an online reading task. Features consisted of reading behaviors (e.g., reading time) and textual features (e.g., level of difficulty) extracted from self-paced reading log files. Supervised machine learning was applied to two datasets in order to predict if…
Descriptors: Reading, Identification, Attention, Reading Rate
Gubbels, Joyce; Segers, Eliane; Keuning, Jos; Verhoeven, Ludo – Gifted Child Quarterly, 2016
The theory of triarchic intelligence posits that, in addition to the widely acknowledged analytical reasoning abilities, creative and practical abilities should be included in the assessments of intellectual capacities and identification of gifted students. To find support for such an approach, the present study examined the psychometric…
Descriptors: Academically Gifted, Elementary School Students, Correlation, Factor Analysis
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Grantham-McGregor, Sally; Smith, Joanne A. – Journal of Applied Research on Children, 2016
We review the development of the Jamaican home visiting intervention for children under 4 years and its evidence base. The intervention has focused on supporting mothers to promote the development of their children through interacting in a responsive way, labelling the environment and activities. The curriculum is structured and cognitively…
Descriptors: Early Childhood Education, Child Development, Depression (Psychology), Home Visits
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Miyaguchi, Koji; Shirataki, Sadaaki – Journal of Intellectual & Developmental Disability, 2014
Background: Many hypotheses have been proposed to address the relationship between sex offenders and neuropsychological functions. Method: The purpose of this study was to evaluate differences in executive functions between juvenile sex offenders and non-sex offenders with/without low IQ by using the Behavioural Assessment of the Dysexecutive…
Descriptors: Executive Function, Intelligence Quotient, Sexual Abuse, Juvenile Justice
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Lenat, Douglas B.; Durlach, Paula J. – International Journal of Artificial Intelligence in Education, 2014
We often understand something only after we've had to teach or explain it to someone else. Learning-by-teaching (LBT) systems exploit this phenomenon by playing the role of "tutee." BELLA, our sixth-grade mathematics LBT systems, departs from other LTB systems in several ways: (1) It was built not from scratch but by very slightly…
Descriptors: Artificial Intelligence, Knowledge Level, Mathematics Instruction, Teaching Methods
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Young Kaelber, Kara A.; Schwartz, Robert C. – International Journal for the Advancement of Counselling, 2014
This study explored degree of empathy and emotional intelligence among Thai (n?=?48) and American (n?=?53) counsellor trainees to determine if differences in Eastern and Western cultural orientations (e.g., interdependent versus independent self-construals) affect foundational counselling skills. Results indicated that Western trainees showed…
Descriptors: Empathy, Emotional Intelligence, Counselor Training, Correlation
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Unsworth, Nash; McMillan, Brittany D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Trial-to-trial fluctuations in attentional state while performing measures of intelligence were examined in the current study. Participants performed various measures of fluid and crystallized intelligence while also providing attentional state ratings prior to each trial. It was found that pre-trial attentional state ratings strongly predicted…
Descriptors: Correlation, Attention Control, Intelligence, Prediction
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2014
This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…
Descriptors: Data Analysis, Identification, Maximum Likelihood Statistics, Statistical Analysis
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Dale, Brittany A.; Finch, Maria HernÁndez; Mcintosh, David E.; Rothlisberg, Barbara A.; Finch, W. Holmes – Psychology in the Schools, 2014
Current research on the use of revisions of intelligence measures with ethnically diverse populations and younger children is limited. The present study investigated the utility of the Stanford-Binet Intelligence Scales, Fifth Edition (SB5), with an ethnically diverse preschool sample. African American and Caucasian preschoolers, matched on age,…
Descriptors: Preschool Children, Intelligence Tests, Scores, African American Students
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Erlandson, Peter; Beach, Dennis – British Journal of Sociology of Education, 2014
This article is part of a project that seeks in part to explore how students understand and use the concept of intelligence. It is based on an ethnographically contextualized study of linguistic events and was conducted in an inner-city upper secondary school in Sweden. The article shows that the concept of intelligence is not spontaneously used…
Descriptors: Foreign Countries, Intelligence, Secondary School Students, Urban Schools
Kyrilov, Angelo; Noelle, David C. – International Association for Development of the Information Society, 2014
Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities while some have started offering Massive Online Open Courses (MOOCs), which are completely online. An obvious benefit of these online tools is their…
Descriptors: Grading, Automation, Feedback (Response), Computer Science Education
Nikelshpur, Dmitry O. – ProQuest LLC, 2014
Similar to mammalian brains, Artificial Neural Networks (ANN) are universal approximators, capable of yielding near-optimal solutions to a wide assortment of problems. ANNs are used in many fields including medicine, internet security, engineering, retail, robotics, warfare, intelligence control, and finance. "ANNs have a tendency to get…
Descriptors: Artificial Intelligence, Networks, Computation, Topology
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