The ability to predict upcoming events is essential in infancy because it enables babies to process information optimally and have successful goal-directed interactions with their environment. In this article, we examine how infants generate predictions in perception, cognition, and action, and address whether and how their predictions are…

There is increasing interest in health professions education (HPE) in applying argument-based validity approaches, such as Kane's, to assessment design. The critical first step in employing Kane's approach is to specify the interpretation-use argument (IUA). However, in the HPE literature, this step is often poorly articulated. This article…

A series of experiments conducted in Central Europe (Hungary, Austria) and East Asia (Japan) probed whether 5- to 10-year-old children (n = 436, 213 female) and adults (n = 71, 43 female; all data collected between July 2020 and May 2023) would infer traits and choose partners accordingly, in a novel touchscreen game. The participants observed…

This paper is a philosophical piece relating to an issue in education theory: what is the epistemological nature of the product of education research and what are the consequences for the reporting of findings and conclusions in particular, what form of contribution to knowledge and/or understanding can emerge from education research? Education…

Children's knowledge of referential dependency involved in the interpretation of reflexives has been investigated mainly from a purely syntactic perspective. However, syntax alone is insufficient to account for various kinds of referential dependencies, as many of them require discourse interpretations. To fill this gap, the present study…

Some philosophers argue that reflection is key to rational thinking. By tying reflective thinking to language, they struggle to account for minimally verbal infants and exclude nonhuman animals. This study assessed processing of undermining defeaters--a basic form of reflective thinking--in 36 two-year-old British children (13 female; M[subscript…

Statistics education researchers have been challenged to consider the theory of inferentialism in understanding concept formation in students. A critique of inferentialism is that no comprehensive method has been formulated to use the theory in practice. In this paper an inferentialism-based framework is presented that appears to be capable of…

The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…

Spatial skills, or spatial ability, is the ability to visualize and mentally manipulate three-dimensional objects, and is essential to the study of anatomy. This study aims to investigate whether spatial skills required to infer cross-sectional images could be improved through anatomy learning, as well as gender differences in spatial skills.…

This paper reports on a study analysing the lessons that 15 A Level (aged 17-18) students inferred from their studies of the Holocaust. All the participants had studied the Holocaust at an advanced level. The participants were interviewed in small groups (three to five participants), with the transcriptions of those interviews being iteratively…

The development of the narrative production skill is one of the most essential goals set for young children's literacy. Different practices, such as story reading, direct instruction, and playful learning, are proposed for fostering young children's meaning-related skills, among which is narrative production. Considering the above, the purpose of…

With the latest advances in conversational agents like Siri and Alexa, and Large Language Models (LLMs) like ChatGPT and PaLM, Question Answering (QA) systems have become more important. Users submit millions of queries per day and it is up to the system to provide reliable, to-the-point answers. In this dissertation, we explore various aspects to…

Sensitivity analysis, a statistical method crucial for validating inferences across disciplines, quantifies the conditions that could alter conclusions (Razavi et al., 2021). One line of work is rooted in linear models and foregrounds the sensitivity of inferences to the strength of omitted variables (Cinelli & Hazlett, 2019; Frank, 2000). A…

Differential equations (DEs) are a powerful tool for modeling real-world contexts. Most research in this area has examined students' understanding and reasoning with pre-packaged DEs, with little attention being given to setting up sophisticated DEs to model complicated real-world situations. This study contributes through a collective case study…

Causal inference is a central topic in education research, although oftentimes it relies on observational studies, which makes causal identification methodologically challenging. This manuscript introduces causal graphs as a powerful language for elucidating causal theories and an effective tool for causal identification analysis. It discusses…