Response process data have the potential to provide a rich description of test-takers' thinking processes. However, retrieving insights from these data presents a challenge for educational assessments and educational data mining as they are complex and not well annotated. The present study addresses this challenge by developing a computational…

This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

In judgment and categorization, the task is to infer the criterion value of an object based on cues. The cognitive mechanisms underlying such inferences are often distinguished in terms of whether they rely on an abstracted cue-criterion rule or on retrieving exemplars. The use of cue-based and exemplar-based strategies (and the associated…

In this article, we present how educational resources for zoology designed by undergraduate students help to propose means of action for teaching diversity and animal evolution in basic education. We realised that activities of creation and analysis of educational resources, in the context of didactic planning, have the potential to approximate…

Research suggests that readers learn about word meanings from the various contexts of words in texts. Therefore, context clue instruction is often recommended as a way of boosting students' word learning skills. Ideally, such instruction should focus on context clue types that are common in authentic texts. We examined the prevalence of context…

Fine-grained data on religious communities are often considered sensitive in South Asia and consequently remain inaccessible. Yet without such data, statistical research on communal relations and group-based inequality remains superficial, hampering the development of appropriate policy measures to prevent further social exclusion on the basis of…

Social essentialism, the belief that members of certain social categories share unobservable properties, licenses expectations that those categories are natural and a good basis for inference. A challenge for cognitive developmental theory is to give an account of how children come to develop essentialist beliefs about socially important…

"Induction" refers to the process in which people generalize their previous experience when making uncertain inferences about the environment that go beyond direct experience. Here we show that interim tests strongly enhance inductive learning. Participants studied the painting styles of eight famous artists across four lists, each…

This study examined (1) whether working memory and higher-level languages skills--inferencing and comprehension monitoring--accounted for individual differences among Chinese children in Chinese reading comprehension, after controlling for age, Chinese word reading and oral language skills, and (2) whether children with specific language…

The study outlined in this article aims to describe and explain the cognitive learning strategies used by foreign students in learning the Indonesian language. The research was designed as a qualitative study. The research participants are foreign students who were learning the Indonesian language in the BIPA program. The data sources of the…

This study compared models of assessment structure for achieving differentiation across the range of examinee attainment in the General Certificate of Secondary Education (GCSE) examination taken by 16-year-olds in England. The focus was on the "adjacent levels" model, where papers are targeted at three specific non-overlapping ranges of…

Evidence that learning rule-based (RB) and information-integration (II) category structures can be dissociated across different experimental variables has been used to support the view that such learning is supported by multiple learning systems. Across 4 experiments, we examined the effects of 2 variables, the delay between response and feedback…

Two studies examined whether adults and children could learn to make context-dependent inferences about novel stimuli and the role of awareness of context cues in such learning. Participants were trained to match probes to targets on the basis of shape or color with the relevant dimension shifting according to item context. A selective induction…