Introduction. Taxonomy is an effective mean of managing and accessing a large amount of digital information. Various techniques have been developed to generate taxonomy automatically. The purpose of this study is threefold: (i) review methods and approaches adopted during taxonomy generation, (ii) identify the factors influencing the choice of a…

Variations in the accuracy and stability of a word's spelling can be used to gauge the quality of its underlying orthographic representation. The Lexical Quality Hypothesis (LQH) contends that words with higher quality cognitive representations should be accessed more efficiently than those with lower quality representations. If this is the case,…

The present research is a cross-linguistic study indicating that the timing of motor production not only depends on the shape of a letter and the activation of its motor program but also on the way the orthographic representations encode the letters for spelling retrieval. English and Italian-speaking participants wrote cognate words (e.g.,…

Misconceptions have been an important area of study in STEM education towards improving our understanding of learners' construction of knowledge. The advent of largescale tutoring systems has given rise to an abundance of data in the form of learner question-answer logs in which signatures of misconceptions can be mined. In this work, we explore…

We have used an unsupervised machine learning method called latent Dirichlet allocation (LDA) to thematically analyze all papers published in the Physics Education Research Conference Proceedings between 2001 and 2018. By looking at co-occurrences of words across the data corpus, this technique has allowed us to identify ten distinct themes or…

Mentalising has long been suggested to play an important role in irony interpretation. We hypothesised that another important cognitive underpinning of irony interpretation is likely to be children's capacity for mental set switching -- the ability to switch flexibly between different approaches to the same task. We experimentally manipulated…

This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…

Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…

The current study is an exploratory study designed to examine the traits that are considered essential or important for research students, from the perspective of student advisors. The study addresses the broad question of whether and how academic faculty members select research students when seeking to maximize their own research outputs and…

Considerable research effort has been devoted to investigating semantic priming effects, particularly, the locus of those effects. Semantically related primes might activate their target's lexical representation (through automatic spreading activation at short stimulus onset asynchronies (SOAs), or through generation of words expected to follow…

Purpose: Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children. Method: In individual examinations, 53 typically developing children aged 5-6 years performed a speech perception task (phoneme discrimination) and a listening…

This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…

Most sacred texts are filled with denotative and connotative meanings, thus making theses texts holy and sacred. This results in making these texts sensitive when dealing with the original text or the translated text. The reason for this sensitivity can be due to the content of the taboo or hidden message within the text. Euphemism is one of the…

It can be challenging to accurately assess speech and language processing in preverbal or minimally verbal individuals with neurodevelopmental disabilities (NDD) using standardized behavioral tools. Event-related potential and eye tracking methods offer novel means to objectively document receptive language processing without requiring purposeful…

Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…