Some researchers advocate a statistical modeling approach to inference that draws on students' intuitions about factors influencing phenomena and that requires students to build models. Such a modeling approach to inference became possible with the creation of "TinkerPlots" Sampler technology. However, little is known about what…

In this study, we aimed to investigate the change in third-grade preservice elementary teachers' observation and inference skills. We also aimed to develop their ability to distinguish observation from inference. A total of 27 preservice elementary teachers participated in the study. Participants' preinstruction and postinstruction observation and…

Purpose: Narrative interventions are a class of language interventions that involve the use of telling or retelling stories. Narrative intervention can be an efficient and versatile means of promoting a large array of academically and socially important language targets that improve children's access to general education curriculum and enhance…

Studies of stress and coping effects on college performance have yielded inconsistent results, which might be clarified by stricter adherence to stress theories. Here, university students (n = 1212) were surveyed during their first year, said to be the most stressful. They completed measures of stress overload (the pathogenic state identified by…

Australia has a long-standing interest in fostering innovation capabilities to drive its future prosperity. However, it has only been in recent years that an emphasis on developing these capabilities has been formally extended into the classroom through the introduction of the Australian Curriculum Technologies. In 2017, the State Government of…

We constructed a new taxonomy for inferential thinking, a construct called Integrative Inferential Reasoning (IIR). IIR extends Pearson and Johnson's (1978) framework of "text-implicit" and "script-implicit" question-answer relations, and integrates several other prominent literacy theories to form a unified inferential…

Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…

This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…

People make inferences about the trustworthiness of others based on their observed gaze behavior. Faces that consistently look toward a target location are rated as more trustworthy than those that look away from the target. Representations of trust are important for future interactions; yet little is known about how they are consolidated in…

Explanations of phenomena in chemistry are grounded in discussions of particulate-level behavior, but there are limitations to focusing on single particles, or as an extension, viewing a group of particles as displaying uniform behavior. More sophisticated models of physical processes evoke considerations related to the dynamic nature of bulk…

This study investigates how interactive features embedded in the illustrations of storybook apps influenced young readers' story enjoyment and comprehension. Kindergartners and second graders (N = 91) were randomly assigned to read storybook apps in an interactive or noninteractive condition. Findings showed that children's self-reported enjoyment…

Purpose: Extant research indicates that children and adolescents with autism spectrum disorder (ASD) without an intellectual disability (ID) often experience difficulty comprehending written texts that is unexpected in comparison with their cognitive abilities. This study investigated the development of two key skills, narrative and inference…

Drawing inference from data is an important skill for students to understand their everyday life, so that the sampling distribution as a central topic in statistical inference is necessary to be learned by the students. However, little is known about how to teach the topic for high school students, especially in Indonesian context. Therefore, the…

Theory of mind has received intensive attention in research as an important skill to develop. Furthermore, recent evidence indicates its role in discourse comprehension. In the current study, we examined the mediating role of theory of mind in the relations of foundational language and cognitive skills (working memory, attentional control,…

Research on human causal induction has shown that people have general prior assumptions about causal strength and about how causes interact with the background. We propose that these prior assumptions about the parameters of causal systems do not only manifest themselves in estimations of causal strength or the selection of causes but also when…