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Keating, Connor T.; Fraser, Dagmar S.; Sowden, Sophie; Cook, Jennifer L. – Journal of Autism and Developmental Disorders, 2022
To date, studies have not established whether autistic and non-autistic individuals differ in emotion recognition from facial motion cues when matched in terms of alexithymia. Here, autistic and non-autistic adults (N = 60) matched on age, gender, non-verbal reasoning ability and alexithymia, completed an emotion recognition task, which employed…
Descriptors: Autism, Pervasive Developmental Disorders, Emotional Response, Nonverbal Communication
Tanji, Takayuki; Inoue, Tomohiro – Reading and Writing: An Interdisciplinary Journal, 2022
We examined the cognitive predictors of early word reading skills in Japanese syllabic Hiragana and morphographic Kanji. Eighty-three Japanese kindergarten children (M age = 75.6 months, SD = 3.4) were assessed on nonverbal IQ, vocabulary, phonological awareness, rapid automatized naming (RAN), phonological memory, morphological awareness, and…
Descriptors: Foreign Countries, Predictor Variables, Early Reading, Reading Skills
Roads, Brett David – ProQuest LLC, 2017
Visual categorization is ubiquitous in many professions, yet training programs are typically time- and effort-intensive. This work focuses on developing methods to improve human learning and performance on challenging visual categorization tasks, e.g., bird species identification, diagnostic dermatology. As part of the general approach, we infer…
Descriptors: Visual Learning, Concept Formation, Visual Perception, Cognitive Processes
Kruk, Richard S.; Luther Ruban, Cassia – Journal of Learning Disabilities, 2018
Visual processes in Grade 1 were examined for their predictive influences in nonalphanumeric and alphanumeric rapid naming (RAN) in 51 poor early and 69 typical readers. In a lagged design, children were followed longitudinally from Grade 1 to Grade 3 over 5 testing occasions. RAN outcomes in early Grade 2 were predicted by speeded and nonspeeded…
Descriptors: Naming, Reading Difficulties, Grade 1, Grade 2
Harteis, Christian; Fischer, Christoph; Töniges, Torben; Wrede, Britta – Frontline Learning Research, 2018
Preventing humans from committing errors is a crucial aspect of man-machine interaction and systems of computer assistance. It is a basic implication that those systems need to recognise errors before they occur. This paper reports an exploratory study that utilises eye-tracking technology and automated face recognition in order to analyse test…
Descriptors: Learning Processes, Error Patterns, Error Correction, Eye Movements