In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…

Although science is practiced globally, science is historically a field dominated by white people. In response, science education has worked to increase equity in science by examining and transforming science learning environments. However, lacking within this work is a direct examination of whiteness. By engaging in autoethnographic storytelling,…

Despite social class being a burgeoning area of research in the higher education literature, there is no single comprehensive measure of social class in university student populations. Most previous research has included objective single-item measures (e.g., parent education or occupation) to assess social class and then sorted students into…

Governments, businesses, and educational institutions need to collaborate and make significant investments in order to address the growing digital skills crisis. In Europe, hundreds of digital skills initiatives have been launched with different forms of government and private industry support in the last five years alone. Consequently, digital…

In mathematics, the keyword strategy involves identifying a keyword (e.g., "altogether") and using that keyword to determine the operation needed to find a word problem's solution. We analyzed 747 high-stakes released items across Grades 3, 4, 5, 6, 7, and 8 from the Partnership for Assessment for Readiness for College and Careers and…

The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…

In this paper, the SOLO taxonomy is used to identify different levels of student understanding of the statistical concepts associated with sampling distribution. This study was part of a research project investigating students' conceptual understanding of concepts of hypothesis testing taught with the support of simulation learning activities. The…

The presented study examines the question of colour categorization in relation to the hypothesis of linguistic relativity. The study is based on research conducted by Gilbert et al. (2006) and their claim that linguistic colour categorization in a particular language helps colour recognition and speeds the process of colour discrimination for…

Purpose: This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection…

Informal learning space (ILS) has increasingly become important for higher education. Yet, most studies were conducted on a piecemeal basis, without considering the planning of the campus. This study adopts a systematic and data-driven approach in understanding the types of ILS, preferences and behaviors using a case study in Hong Kong, by first…

In this research note I want to address some misunderstandings about the construct of redeployment and suggest that we need to fit these behavioural data from Yang, Chen and Xiao (YCX) into a broader context. I will suggest that these authors' work is not just about the failure of three models to predict equivalence classification. Equivalence…

Purpose: The purpose of this study is to get the perspectives of human resource development (HRD) scholars about connections among HRD, corporate social responsibility and ethics. The authors also sought to discover if HRD academic programs need to have ethics-related courses for their graduate students. Design/methodology/approach: In this paper,…

The English learner (EL) population has grown by 35% in the last 20 years. However, in addition to new students being identified as ELs, the EL subgroup is being inflated by students who are not being reclassified within a reasonable and developmentally appropriate timeframe. These students, often labeled long term ELs (LTELs), are a product of…

This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…

Compulsory school-dropout is a serious problem affecting not only the education systems, but also the developmental progress of any country as a whole. Identifying the risk of dropping out, and characterizing its main determinants, could help the decision-makers to draw eradicating policies for this persisting problem and reducing its social and…