Research suggests that students spend a substantial amount of time transitioning between classroom activities, which may reduce time spent academically engaged. This study used an ABAB design to evaluate the effects of a computer-assisted intervention that automated intervention components previously shown to decrease transition times. We examined the effects of the intervention on the latency to on-task behavior of 4 students in 2 classrooms. Data also were collected on students' on-task behavior during activities and teachers' use of prompts and praise statements. Implementation of the intervention substantially decreased students' latencies to on-task behavior and increased on-task behavior overall. Further, the 2 teachers used fewer prompts to cue students to transition and stay on task and provided more praise during intervention phases. We discuss how automating classroom interventions may affect student and teacher behavior as well as how it may increase procedural fidelity.
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http://dx.doi.org/10.1002/jaba.233 | DOI Listing |
Cogn Emot
January 2025
Department of Psychology, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
The effectiveness of loss-framed versus gain-framed messages in attracting attention and influencing purchase intention among younger and older adults remains unclear. We tracked the eye movements of 92 younger (18-39 years) and 83 older adults (60-82 years) while they viewed 32 advertisements and reported their purchase intentions for each advertised product. The results showed that loss-framed (vs.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
State-dependent neural correlations can be understood from a neural coding framework. Noise correlations-trial-to-trial or moment-to-moment covariability-can be interpreted only if the underlying signal correlation-similarity of task selectivity between pairs of neural units-is known. Despite many investigations in local spiking circuits, it remains unclear how this coding framework applies to large-scale brain networks.
View Article and Find Full Text PDFNeuroscience
December 2024
Department of Psychology, Hebei Normal University, Shijiazhuang, China. Electronic address:
Media multitasking has become pervasive in our daily lives, yet its impact on cognitive abilities remains contentious, with more evidence supporting adverse effects (scattered attention hypothesis) than benefits (trained attention hypothesis). Recent studies have increasingly focused on the training effects of behavioral training on anticipatory brain functions, which involve cognitive and motor preparation before stimulus onset, assessed using event-related potentials (ERPs). This study investigated whether media multitasking enhances anticipatory brain functions and how task difficulty influences this relationship.
View Article and Find Full Text PDFBrain Struct Funct
December 2024
GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Co-activation of distinct brain areas provides a valuable measure of functional interaction, or connectivity, between them. One well-validated way to investigate the co-activation patterns of a precise area is meta-analytic connectivity modeling (MACM), which performs a seed-based meta-analysis on task-based functional magnetic resonance imaging (task-fMRI) data. While MACM stands as a powerful automated tool for constructing robust models of whole-brain human functional connectivity, its inherent limitation lies in its inability to capture the distinct interrelationships among multiple brain regions.
View Article and Find Full Text PDFBrain Stimul
December 2024
Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, 04103, Germany; Cognitive and Biological Psychology, Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, 04109, Germany.
The simultaneous combination of TMS with fMRI has emerged as a promising means to investigate the direct interaction between stimulation-induced changes at the behavioral and neural activity level. This enables the investigation of whole brain neurobehavioral interactions underlying cognitive disruption or facilitation. Yet to date, the literature on interleaved TMS-fMRI in cognitive neuroscience is sparse and neuromodulatory patterns of different TMS protocols are still poorly understood.
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