Coding is a process of assigning meaning to a given piece of evidence. Evidence may be found in a variety of data types, including documents, research interviews, posts from social media, conversations from learning platforms, or any source of data that may provide insights for the questions under qualitative study. In this study, we focus on text…

Metacognition is a valuable tool for learning, since it is closely related to self-regulation and awareness of one's own affect. However, methods for automatically detecting and studying metacognition are scarce. Thus, in this paper we describe an algorithm for automatic detection of metacognitive language in writing. We analyzed text from the…

This study explored what kinds of phonological strategies are used by children and how they scaffold each other while they solve tasks in a digital literacy game. The theoretical basis of this study lies in Vygotsky's thoughts on the role of social interaction in learning and in the concept of peer scaffolding. The data included eight videotaped…

Language is infinitely productive because syntax defines dependencies between grammatical categories of words and constituents, so there is interchangeability of these words and constituents within syntactic structures. Previous laboratory-based studies of language learning have shown that complex language structures like hierarchical center…

Background: Phonological difficulties in children with developmental language disorder (DLD) are well documented. However, abilities regarding prosody, the rhythmic and melodic characteristics of language, have been less widely studied, particularly in Spanish. Moreover, the scant research findings that have been reported are contradictory. These…

The integration of computational modelling in science classrooms provides a unique opportunity to promote key 21st century skills including computational thinking (CT) and collaboration. The open-ended, problem-solving nature of the task requires groups to grapple with the combination of two domains (science and computing) as they collaboratively…

While recent studies find that contextual diversity (CD) is a better determinant of visual word recognition than token frequency, there is a dearth of work comparing contextual diversity and token frequency in developing readers. In two sets of character and lexical decision experiments we examined token frequency and contextual diversity effects…

Listeners interpret cues in speech processing immediately rather than waiting until the end of a sentence. In particular, prosodic cues in auditory speech processing can aid listeners in building information structure and contrast sets. Native speakers even use this information in combination with syntactic and semantic information to build mental…

Research shows that translation teachers with insufficient translation experience will become the bottleneck hindering the development of translation education. However, few studies have examined teachers' translation experience or factors motivating or demotivating them to practice translation. This study attempts to fill the gap by interviewing…

Purpose: Speech perception in noise becomes difficult with age but can be facilitated by audiovisual (AV) speech cues and sentence context in healthy older adults. However, individuals with Alzheimer's disease (AD) may present with deficits in AV integration, potentially limiting the extent to which they can benefit from AV cues. This study…

Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…

The choice of word counting units (i.e. word family, flemma, or lemma) is of great importance in vocabulary list and test creation, as there are assumptions underpinning the use of each. Flemma-based counting assumes that if a learner can understand the meaning of a word in one part of speech (POS), they can also understand its meaning when the…

Vocabulary researchers have started expanding their assessment toolbox by incorporating timed tasks and psycholinguistic instruments (e.g., priming tasks) to gain insights into lexical development (e.g., Elgort, 2011; Godfroid, 2020b; Nakata & Elgort, 2020; Vandenberghe et al., 2021). These timed sensitive and implicit word measures differ…

The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

Understanding language requires the ability to compose the meanings of words into phrase and sentence meanings. Formal theories in semantics have framed the hypothesis that all instances of meaning composition, irrespective of the syntactic and semantic properties of the expressions involved, boil down to a unique formal operation, that is, the…