Linguistic categories can impact visual perception. For instance, learning that two objects have different names can enhance their discriminability. Previous studies have identified a typical pattern of categorical perception, characterized by faster discrimination of stimuli from different categories, a neural mismatch response during early…

Despite numerous studies about language learning strategies (LLSs), many learners still misunderstand their effectiveness, thinking they require too much effort for minimal gain. Additionally, students have varied and conflicting preferences for LLSs, and factors like cultural background influence their choices, indicating a need for more research…

In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…

To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…

This case examines the tax implications of various not-for-profit statuses available to an organization. Students are presented with a case that considers whether the organization currently classified as a 501(c)(7) organization is properly classified, or should be classified as a 501(c)(3) organization, which would allow its members to take…

This paper seeks to outline and describe the features of Ewe causative verbs and how they encode causative events. It explores the sub-lexical analysis of verbs' meanings since they form the basis of the classification of causal relations that allow us to explore the different imports between (sub-)events and how these events are structured, and…

Minority-serving institutions (MSIs) are unique in their ability to support the educational advancement of students of color. Approximately one in five postsecondary institutions are eligible for funding under an MSI designation, yet more than half of all undergraduate students of color are enrolled in such colleges and universities. However,…

Accumulating evidence suggests that there is a spontaneous preference for numerical, compared to non-numerical (e.g., cumulative surface area), information. However, given a paucity of research on the perception of non-numerical magnitudes, it is unclear whether this preference reflects a specific bias towards number, or a general bias towards the…

Research on the accuracy of Brain Fingerprinting (BFP) has produced mixed outcomes: some report 99.9% and others report lower. Furthermore, no studies have measured the susceptibility of BFP to countermeasures. In Experiment-1, we report the accurate classification of 15 of the 16 subjects, tested on their own real-life autobiographical incidents;…

The special education eligibility category that has come to be most commonly associated with Attention-Deficit Hyperactivity Disorder (ADHD) in recent years is Other Health Impairment (OHI). However, the eligibility criteria for the OHI disability category have been criticized for being especially vague, given that the disability category…

Studies on the quality of nature of science (NOS) representations in school science textbooks report them being mostly of implicit manner and not fully adequate. However, the often underlying NOS framework of the consensus list in these studies is criticized as undifferentiated and inadequate. The family resemblance approach (FRA) to NOS shows…

Across the world, the international school sector is changing at a rapid pace, having an impact on all facets of international schools, from curriculum to clientele. This article describes an emerging concept from this sector that I have termed the internationally-national school, borne from the nationally affiliated schools that currently exist…

The causal view of categories assumes that categories are represented by features and their causal relations. To study the effect of causal knowledge on categorization, researchers have used Bayesian causal models. Within that framework, categorization may be viewed as dependent on a likelihood computation (i.e., the likelihood of an exemplar with…

The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…

This volume is largely about nontraditional data; this paper is about a nontraditional visualization: classification trees. Using trees with data will be new to many students, so rather than beginning with a computer algorithm that produces optimal trees, we suggest that students first construct their own trees, one node at a time, to explore how…