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1. Understanding Research Related to Designing for Children's Privacy and Security: A Document Analysis

   https://doi.org/10.1145/3585088.3589375  

   Kumar, Priya C; O'Connell, Fiona; Li, Lucy; Byrne, Virginia L; Chetty, Marshini; Clegg, Tamara L; Vitak, Jessica (June 2023, Proceedings of the 2023 ACM Interaction Design and Children (IDC) Conference)

   Many children are growing up in a “digital-by-default” world, where technologies mediate many of their interactions. There is emerging consensus that those who design technology must support children’s privacy and security. However, privacy and security are complex concepts that are challenging to design for, and centering the interests of children is similarly difficult. Through a document analysis of 90 HCI publications, we examine what problems and solutions designing for children’s privacy and security addresses and how this research engages with children. Applying Solove’s privacy taxonomy, we find that research addresses a range of problems related to information collection, processing, dissemination, and invasion at the organizational, system, and individual levels. Children’s participation in this research is largely limited to providing feedback rather than helping to guide the research itself. Based on these findings, we offer recommendations for designers to sharpen their privacy and security contributions and center children in their work. 

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2. Caregivers’ Multiple Roles in Supporting their Child through an Engineering Design Project

   Simpson, Amber; Yang, Jing; Knox, Peter N.; Maltese, Adam V. (January 2021, American Society for Engineering Education)

   null (Ed.)

   Caregivers are one of the most significant influences in their children’s engineering engagement at a young age; however, the roles caregivers can play in supporting their children is less understood. Employing an intrinsic case study on a five-month engineering program conducted in an out-of-school context, we illustrate the multiple and different roles that three caregivers enacted, and the contextual factors of the program that influenced and shaped their role enactment. We observed 12 dynamic, complex, and evolving roles that caregivers endorsed to support their child throughout the engineering design process. These roles were situated within preexisting rules and expectations as caregivers while also developing an understanding of the rules and expectations of an engineer through their social interactions with volunteer engineers and makers. This work contributes to our understanding of how to create environments to enable caregivers to best support their children’s STEM learning process. 

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3. StoryPal: Supporting Young Children's Dialogic Reading with Large Language Models

   https://doi.org/10.1145/3713043.3728867  

   He, Kunlei; Gastón-Panthaki, Aria; Zhuo, Dongni; Munsey, Joshua; Zhang, Maggie; Warschauer, Mark (June 2025, ACM)

   Early literacy skills are crucial predictors of children’s academic success. Dialogic reading—an interactive approach where adults and children engage in discussions about stories—has proven highly effective in developing these skills. However, many families face barriers implementing this practice due to time constraints, limited resources, or linguistic challenges. We present StoryPal, an LLM-powered conversational agent that facilitates dialogic reading through contextual questioning, adaptive scaffolding, and personalized feedback. In a study with 23 children ages 4-7 from diverse socioeconomic and linguistic backgrounds, we found high levels of verbal engagement with distinct patterns between English-dominant and bilingual children. The system’s dynamic scaffolding effectively supported struggling readers while challenging proficient ones. Parents valued StoryPal as a supplementary tool that maintained children’s reading engagement when they were unavailable, but emphasized that it should not replace parent-child interactions. Our findings demonstrate the potential of LLM-powered agents to support dialogic reading by adhering to established educational practices. 

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4. Drawings as a window into developmental changes in object representations

   Long, B.; Fan, J. E.; Frank, M. C. (July 2018, Proceedings of the 40th Annual Conference of the Cognitive Science Society.)

   How do children’s representations of object categories change as they grow older? As they learn about the world around them, they also express what they know in the drawings they make. Here, we examine drawings as a window into how children represent familiar object categories, and how this changes across childhood. We asked children (age 3-10 years) to draw familiar object categories on an iPad. First, we analyzed their semantic content, finding large and consistent gains in how well children could produce drawings that are recognizable to adults. Second, we quantified their perceptual similarity to adult drawings using a pre-trained deep convolutional neural network, allowing us to visualize the representational layout of object categories across age groups using a common feature basis. We found that the organization of object categories in older children’s drawings were more similar to that of adults than younger children’s drawings. This correspondence was strong in the final layers of the neural network, showing that older children’s drawings tend to capture the perceptual features critical for adult recognition. We hypothesize that this improvement reflects increasing convergence between children’s representations of object categories and that of adults; future work will examine how these age-related changes relate to children’s developing perceptual and motor capacities. Broadly, these findings point to drawing as a rich source of insight into how children represent object concepts. 

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5. Explaining Income Disparities in Young Children’s Development: The Role of Community Contexts and Family Processes

   Coley, R. L. (January 2019, Early childhood research quarterly)

   null (Ed.)

   Growing economic disparities and the increased sorting of families into economically segregated communities have heightened the need to clearly delineate pathways through which family income promotes children’s development. Combining hypotheses from investment and stress theories, we developed and tested a multi-context and cross-domain conceptual model assessing how community and family contexts mediate links between family income and children’s cognitive and behavioral skills at kindergarten entry. We drew data on family income, parenting processes, and child functioning from the Early Childhood Longitudinal Study– Birth Cohort (ECLS-B; N ≈ 10,650), following children from infancy through age 5. We used Geographic Information Systems technology to create and validate community measures using administrative data from the Economic Census, Decennial Census, National Center of Education Statistics, Federal Bureau of Investigations, and Environmental Protection Agency, which were then linked to each child in the ECLS-B. Using structural equation modeling, our analyses revealed three primary lessons. First, lower-income children have limited access to community educational and cultural resources and heightened exposure to community stressors including concentrated disadvantage and violent crime. Second, these community features are associated with parenting processes, such that parent-child interactions tend to be less stimulating and supportive and more punitive in communities with fewer resources and heightened stressors. And third, community and family contexts together mediate connections between family income and children’s cognitive and behavioral functioning. Results, albeit showing small effect sizes, provide a more complex, multi-contextual view than prior research, delineating the role of both resources and stressors at community and family levels in explaining income disparities in young children’s developmental success. 

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