This study examined the role of relevance determinations within the context of undergraduates' multiple text reading and writing. In this study, undergraduate students were randomly assigned to one of two experimental conditions (i.e., to compose a research report about either the causes of or the solutions to the urban housing crisis), using a…

This dissertation analyzes the production and perception of lexical stress in trilinguals' first, second, and third languages (L1, L2, and L3) to evaluate how the cue-weighting transfer hypothesis applies to L3 acquisition. According to this hypothesis, acoustic cues to stress have different weights across languages, and results from both…

Theories of perceptual decision making have been dominated by the idea that evidence accumulates in favor of different alternatives until some fixed threshold amount is reached, which triggers a decision. Recent theories have suggested that these thresholds may not be fixed during each decision but change as time passes. These collapsing…

How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…

A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different…

Research generally supports the use of error-correction procedures that require active student responses (ASRs). However, some recent research suggests that requiring ASRs after errors is not always advantageous for individuals with autism spectrum disorder (ASD). We examined acquisition in a receptive identification task for two learners with ASD…

This paper draws on a series of studies of design teams working on the creation and evaluation of novel complex learning spaces: spaces in which students' activity is situated and supported by rich mixtures of material and digital tools and resources. In most of the cases observed, students also played a substantial role in co-configuring the…

This article demonstrates how, at a time when learners may be experiencing fear and chaos in other aspects of their lives, a focus on language task engagement is essential across both online and offline language learning contexts. It presents a model of language task engagement and describes why and how teachers can use it to support learner…

Open-ended comprehension questions are a common type of assessment used to evaluate how well students understand one of multiple documents. Our aim is to use natural language processing (NLP) to infer the level and type of inferencing within readers' answers to comprehension questions using linguistic and semantic features within their responses.…

The employment of genre-based pedagogy and Task-Based Language Teaching in second language education is representative of a paradigmatic shift towards a focus on meaning-making. Despite this shift, second language acquisition (SLA) research continues to predominantly rely on complexity, accuracy, and fluency metrics to assess learner production…

The current research addresses interesting and still mostly neglected question of how introductory philosophical disciplines (such as "Introduction to philosophy", "Introduction to ethics" etc.) affects students' comprehension of the concept of critical thinking which is one of the most important descriptive and normative…

Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

This paper suggests six areas of vocabulary research which the author believes would be fruitful for future research. They include (1) developing a practical model of vocabulary acquisition, (2) understanding how vocabulary knowledge develops from receptive to productive mastery, (3) getting lexical teaching/learning principles into vocabulary and…

A theoretical model describing young students' (Grades 1-3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students' functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that…