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Lion Sieg; Hendrik Eismann; Bertrand Schneider; Jan Karsten; Dogus Darici – Journal of Computer Assisted Learning, 2025
Background: Research in social cognition suggests that learning effectiveness in teacher-learner pairs may be influenced by how well their attention aligns with each other. However, we currently have limited understanding of how common distractions in real-world environments affect teacher-student interactions, specifically the synchronisation of…
Descriptors: Attention Control, Social Cognition, Teacher Student Relationship, Interaction
Crespo, Kimberly; Kaushanskaya, Margarita – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The current study examined the role of attention and language ability in nonverbal rule induction performance in a demographically diverse sample of school-age children. Method: The participants included 43 English-speaking monolingual and 65 Spanish-English bilingual children between the ages of 5 and 9 years. Core Language Index…
Descriptors: Role, Learning Processes, Attention Control, Language Skills
Broschard, Matthew B.; Kim, Jangjin; Love, Bradley C.; Wasserman, Edward A.; Freeman, John H. – Learning & Memory, 2019
A prominent theory of category learning, COVIS, posits that new categories are learned with either a declarative or procedural system, depending on the task. The declarative system uses the prefrontal cortex (PFC) to learn rule-based (RB) category tasks in which there is one relevant sensory dimension that can be used to establish a rule for…
Descriptors: Task Analysis, Brain Hemisphere Functions, Learning Processes, Animals
Sali, Anthony W.; Anderson, Brian A.; Yantis, Steven – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Individuals regularly experience fluctuations in the ability to perform cognitive operations. Although previous research has focused on predicting cognitive flexibility from persistent individual traits, as well as from spontaneous fluctuations in neural activity, the role of learning in shaping preparatory attentional control remains poorly…
Descriptors: Attention Control, Learning Processes, Probability, Visual Learning
Banire, Bilikis; Jomhari, Nazean; Ahmad, Rodina – Journal of Autism and Developmental Disorders, 2015
The effect of education on children with autism serves as a relative cure for their deficits. As a result of this, they require special techniques to gain their attention and interest in learning as compared to typical children. Several studies have shown that these children are visual learners. In this study, we proposed a Visual Hybrid…
Descriptors: Autism, Children, Visual Learning, Instructional Design
Blaga, Otilia M.; Colombo, John – Developmental Psychology, 2006
Young infants have repeatedly been shown to be slower than older infants to shift fixation from a midline stimulus to a peripheral stimulus. This is generally thought to reflect maturation of the neural substrates that mediate the disengagement of attention, but this developmental difference may also be attributable to young infants' slower…
Descriptors: Familiarity, Infants, Attention Control, Dimensional Preference
Conte, Richard; And Others – 1984
A series of experiments were conducted in Calgary to determine performance of attention deficit disordered (ADD) and learning disabled (LD) children without ADD on a selective attention task (The Matching Familiar Figures Test) and a sustained attention task (paired associate learning). Results of experiment 1 indicated deficits in sustained…
Descriptors: Attention Control, Attention Deficit Disorders, Elementary Education, Foreign Countries

Braggio, John T.; And Others – Contemporary Educational Psychology, 1980
Letter pairs that could not be distinguished by learning disabled children were presented using an acquisition-reversal learning paradigm. Relevant external stimuli facilitated discrimination; in reversal, the cues were irrelevant. This technique facilitated learning, as well as retention four days later. (Attentional deficits are discussed). (GDC)
Descriptors: Attention Control, Cues, Dyslexia, Intermediate Grades

McLeskey, James – Perceptual and Motor Skills, 1982
The influence of verbal and written labels on selective attention to visual materials was examined with retarded children. Under treatment conditions, retarded and normal children located an object more quickly, looked at it longer, and recognized more objects on a recognition-memory task. These results may be applied to materials development.…
Descriptors: Arousal Patterns, Attention Control, Elementary Secondary Education, Instructional Materials

Spencer, Patricia – Journal of Deaf Studies and Deaf Education, 2000
This study investigated potential effects of auditory and other communicative experience on development of visual attention in 80 infants (tested at 9, 12, and 18 months), half deaf and half with deaf mothers. Results indicate that early visual attention is associated with and potentially influenced by a complex interaction of maturation,…
Descriptors: Attention Control, Child Development, Deafness, Infants

Heiervang, Einar; Hugdahl, Kenneth – Journal of Learning Disabilities, 2003
A cue-target visual attention task was administered to 25 children (ages 10-12) with dyslexia. Results showed a general pattern of slower responses in the children with dyslexia compared to controls. Subjects also had longer reaction times in the short and long cue-target interval conditions (covert and overt shift of attention). (Contains…
Descriptors: Attention Control, Attention Deficit Disorders, Attention Span, Computer Assisted Testing

Draeger, Sonya; And Others – Journal of Abnormal Child Psychology, 1986
Experimenter presence (representing external control) or absence during task presentation were the two conditions under which attentional performance of 16 hyperactive and 16 control subjects (ages 7-12) was assessed. Results suggested noncompliance (an application deficit rather than an ability deficit) as a major contributor to poor performance…
Descriptors: Attention Control, Attention Deficit Disorders, Aural Learning, Classroom Environment