When faced with entities with potentially ambiguous category membership, adult category judgments are strongly biased toward dangerous and distinctive properties. For example, a cyanide-water mixture is categorized as cyanide. We used a developmental approach to better understand this cross-domain effect, which we term the asymmetric…

The shape bias, a preference for mapping new word labels onto the shape rather than the color or texture of referents, has been postulated as a word-learning mechanism. Previous research has shown deficits in the shape bias in children with autism even though they acquire sizeable lexicons. While previous explanations have suggested the atypical…

Intelligence is a well-studied construct in psychology that has correlational relationships with many educational, employment, and health outcomes. However, prior research indicates that incorrect beliefs about intelligence are widespread. In an effort to discern the degree to which the psychology curriculum is responsible for these inaccuracies,…

Literature reviews allow education professionals to identify effective interventions and assess trends in research and practice. However, issues with transparency and the specific methods used in conducting literature searches have the potential to limit the utility of reviews. This study evaluated the description of article search procedures and…

This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…

Standard setting is arguably one of the most subjective techniques in test development and psychometrics. The decisions when scores are compared to standards, however, are arguably the most consequential outcomes of testing. Providing licensure to practice in a profession has high stake consequences for the public. Denying graduation or forcing…

This paper reports on a reflexive exercise contributing a meta-mapping of typologies of GCE and supplementary analysis of that mapping. Applying a heuristic of three main discursive orientations reflected in much of the literature on GCE -- neoliberal, liberal, and critical -- and their interfaces, we created a social cartography of how nine…

In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…

Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…

Peer assessment adds value when students provide "helpful" feedback to their peers. But, this begs the question of how we determine "helpfulness." One important aspect is whether the review detects problems in the submitted work. To recognize problem detection, researchers have employed NLP and machine-learning text…

Background and Aim: Promoting the development of international education is an important international education trend in the world today. It has had or is having a far-reaching impact on the education of all countries in the world, whether it is formal education or non-formal education (Gu, M., 2020). The "Course Plan for Technicians in…

Theatre for Development is one of the most dynamic and controversial theatre movements on the global South. Emerging in Southern Africa in the 1970s to address social and economic problems using theatrical techniques, today it is taught in theatre departments across sub-Saharan Africa and employed in numerous contexts from health care to…

Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…

The current replication study aims to examine the effects of learners' attention to lexical and grammatical forms on meaning comprehension while listening to a passage in Spanish. The registered protocol and materials in the aural mode from Morgan-Short et al.'s (2018) multisite replication study were used, with first language (L1) Chinese-second…

We studied English-learning children's ability to learn the meanings of novel words from sentences containing truth-functional negation (Exp1) and to use the semantics of negation to inform word meaning (Exp2). In Exp1, 22-month-olds (n = 21) heard dialogues introducing a novel verb in either negative-transitive "("Mary didn't blick the…