When reasoning about science studies, people often make causal theory errors by inferring or accepting a causal claim based on correlational evidence. While humans naturally think in terms of causal relationships, reasoning about science findings requires understanding how evidence supports--or fails to support--a causal claim. This study…

When reasoning about science studies, people often make "causal theory errors" by inferring or accepting a causal claim based on correlational evidence. While humans naturally think in terms of causal relationships, reasoning about science findings requires understanding how evidence supports--or fails to support--a causal claim. This…

Education and income are strong predictors of health and longevity. In the last 20 years many efforts have been made to understand if these relationships are causal and what the possible role of policy should be as a result. The evidence from various studies is ambiguous: the effects of education and income policies on health are heterogeneous and…

This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting double-blind online randomized controlled trials (RCTs) for higher education research. The process of the entire interaction with the participants (n = 1193) and their allocation to test and control…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

As a wide variety of intelligent technologies become part of everyday life, researchers have explored how people conceptualize agents that in some ways act and think like living things but are clearly machines. Much of this work draws upon the idea that people readily default to generalizing human-like properties to such agents, and only pare back…

An adaptive memory system should prioritize information surrounding a powerful learning event that may prove useful for predicting future meaningful events. The behavioral tagging hypothesis provides a mechanistic framework to interpret how weak experiences persist as durable memories through temporal association with a strong experience. Memories…

Background: According to gender-differentiated attributions of failure in the STEM field, errors tend to be attributed to internal factors more to girls than to boys. Aims: This experimental study explored factors influencing gender-differentiated teachers' internal attributions of girls' and boys' errors and the consequent likelihood of teachers'…

Considering the increasing severity of environmental disasters and the scarcity of studies centered on children's perspectives, this article explores context-based learning to create spaces of hope. Constructing explanations fosters meaning creation and knowledge integration. Fourth graders' self-explanations about contamination in a degraded…

Although culture influences all human beings, there is a deeply embedded bias in American psychology that culture is more important for members of certain groups. This study replicates and extends beyond the seminal work of Causadias and colleagues (2018a, 2018b) by examining the degree to which psychology graduate students in the United States…

Little is known about the attributional patterns of caregivers of autistic children, particularly in relation to caregivers of children with other developmental or behavioral disorders. This study examined differences in caregiver attributions of child behavior between three groups: toddlers with (1) Autism spectrum disorder (ASD) or ASD concerns;…

Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…

This article asks the central question of how to practically engage in the ongoing production of space at Stellenbosch University (SU) as to reimagine and redefine spaces. Spaces, which affect people indirectly and subconsciously, can act as microaggressions on one hand and places of safety connected to identity on the other. The Visual Redress…

In schema-based source monitoring, people mistakenly predict better source memory for expected sources (e.g., oven in the kitchen; "expectancy effect"), whereas actual source memory is better for unexpected sources (e.g., hairdryer in the kitchen; "inconsistency effect"; Schaper et al., 2019b). In three source-monitoring…

Generic language (e.g., "tigers have stripes") leads children to assume that the referenced category (e.g., tigers) is inductively informative and provides a causal explanation for the behavior of individual members. In two preregistered studies with 4- to 7-year-old children (N = 497), we considered the mechanisms underlying these…