A classic issue in the cognitive psychology of human category learning has involved the contrast between exemplar and prototype models. However, experimental tests to distinguish the models have relied almost solely on use of artificially-constructed categories composed of simplified stimuli. Here we contrast the predictions from the models in a…

There are myriad understandings of design that have evolved over time and vary by the industries and disciplines that practice it. In the engineering context, design is often described as a process or problem-solving ability. Through interviews with 12 experienced engineers, it was found that there are diverse understandings of the relationship…

Purpose: The purpose of this study was to examine feedback processing within the context of probabilistic learning in children with and without developmental language disorder (DLD). Method: The probabilistic category learning task required 28 children ages 8-13 years old to classify novel cartoon animals that differed in five binary features into…

The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…

Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…

Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…

It has become a common practice to categorize the different perspectives on media education as following either a protectionist approach or an empowerment approach. However, the way scholars write about the distinction between these two approaches can be confusing and sometimes misleading. This article presents an examination into the ways media…

Cluster memberships associated with the mediation effect are often changed due to the temporal distance between the cause-and-effect variables in longitudinal data. Nevertheless, current practices in multilevel mediation analysis mostly assume a purely hierarchical data structure. A Monte Carlo simulation study is conducted to examine the…

This work reports the development and application of an analytical tool for the analysis of the formation of the scientific mind of students who took part in inquiry activities, based on the philosophy of Gaston Bachelard, in a Chemistry Club. For the construction of the analytical instrument, an extracurricular course was offered to first-year…

Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…

Theories of reading comprehension have widely predicted a role for syntactic skills, or the ability to understand and manipulate the structure of a sentence. Yet, these theories are based primarily on English, leaving open the question of whether this remains true across typologically different languages such as English versus Chinese. There are…

Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…

As part of a validation study of the Exercise Planning and Scheduling (EPS), and Goal-Setting (EGS) Scales, which were translated from English to Brazilian Portuguese, we aim to: present evidence of reliability and validity for the translated scale; and, explore the effects of non-labeled response categories of rating scales. The sample comprised…

Elementary teachers are navigating a curriculum landscape in which engineering activities now exist alongside science. Teacher education should prepare future elementary teachers to be critical curators of curriculum resources, which includes appraising the extent to which engineering and science activities authentically reflect those fields. To…

Some previous researchers attempted to bridge the gap between two bodies of research: the role of metacognitive knowledge in second language (L2) writing and L2 collaborative writing (CW). Although recent studies unveiled the positive impacts of learners' metacognitive knowledge on L2 collaborative writing, there is not yet consensus regarding the…