Using Class Pass Intervention to Decrease Disruptive Behavior in Young Children

Previous research has shown that disruptive behavior can impair students’ academic success (Pierce et al. in Remedial Spec Educ 25:175–188, 2004, https://doi.org/10.1177/07419325040250030501), as well as increase teacher’s stress level (Westling in Remedial Spec Educ 31:48–63, 2010, https://doi.org/10.1177/0741932508327466). The Class Pass Intervention (CPI) is a Tier 2 intervention designed to decrease disruptive behavior and increase academic engagement; however, few studies have evaluated the efficacy of CPI. The purpose of this study was to assess the effects of CPI on disruptive behavior and academic engagement of young students who engage in disruptive behavior. This study used a non-concurrent multiple baseline design to assess experimental control. In the current study, CPI led to a decrease in disruptive behavior and an increase in academic engagement for all three participants and these levels persisted throughout schedule thinning. In addition, results of teacher and student social validity assessments indicated that the intervention was effective and easy to implement and that students preferred the intervention.

     

How do children view and categorise human and dog facial expressions?

Children are often surrounded by other humans and companion animals (e.g., dogs, cats); and understanding facial expressions in all these social partners may be critical to successful social interactions. In an eye-tracking study, we examined how children (4–10 years old) view and label facial expressions in adult humans and dogs. We found that children looked more at dogs than humans, and more at negative than positive or neutral human expressions. Their viewing patterns (Proportion of Viewing Time, PVT) at individual facial regions were also modified by the viewed species and emotion, with the eyes not always being most viewed: this related to positive anticipation when viewing humans, whilst when viewing dogs, the mouth was viewed more or equally compared to the eyes for all emotions. We further found that children's labelling (Emotion Categorisation Accuracy, ECA) was better for the perceived valence than for emotion category, with positive human expressions easier than both positive and negative dog expressions. They performed poorly when asked to freely label facial expressions, but performed better for human than dog expressions. Finally, we found some effects of age, sex, and other factors (e.g., experience with dogs) on both PVT and ECA. Our study shows that children have a different gaze pattern and identification accuracy compared to adults, for viewing faces of human adults and dogs. We suggest that for recognising human (own-face-type) expressions, familiarity obtained through casual social interactions may be sufficient; but for recognising dog (other-face-type) expressions, explicit training may be required to develop competence.

Highlights

• We conducted an eye-tracking experiment to investigate how children view and categorise facial expressions in adult humans and dogs
• Children's viewing patterns were significantly dependent upon the facial region, species, and emotion viewed
• Children's categorisation also varied with the species and emotion viewed, with better performance for valence than emotion categories
• Own-face-types (adult humans) are easier than other-face-types (dogs) for children, and casual familiarity (e.g., through family dogs) to the latter is not enough to achieve perceptual competence