Social information is cognitively linked to linguistic information, evidenced by bidirectional influences on perceptual processing of speech. Models of sociophonetic cognition theorize that the way linguistic experiences are interpreted and stored in memory is mediated by listener attention, which is guided by ideology. This relationship, however,…

Verbal Fluency (VF) task total scores are widely used in language attrition studies, but they do not provide insight into the processes underlying optimal performance. We analyse the efficacy of clustering (subcategories within a category) and switching (shifting between these subcategories) strategies in phonemic (PVF) and semantic (SVF) tasks.…

Semantic similarity between stimuli can lead to false memories and can also potentially cause retroactive interference (RI) for veridical memories. Here, participants first learned spatial locations for "critical" words that reliably produce false memories in the Deese-Roediger-McDermott paradigm. Next, participants centrally viewed…

Anthropogenic climate change is a scientific fact, but U.S. public discourse around the issue remains mired in controversy, including in education. Our study leverages natural language processing methods to give a precise look into the extent to which climate change-related topics are covered in 30 of the most widely used high school history…

One perennially important question for theories of sentence comprehension is whether the human sentence processing mechanism is "parallel" (i.e., it simultaneously represents multiple syntactic analyses of linguistic input) or "serial" (i.e., it constructs only a single analysis at a time). Despite its centrality, this question…

The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…

Recent approaches to the "that"-trace phenomenon in English include syntactic analyses based on the principle of Anti-locality and a sentence production analysis based on the Principle of End Weight. These analyses have many similarities, but they differ in their predictions for second language (L2) speakers. In an Anti-locality…

Misinterpretations during language comprehension are common. The ability to recover from processing difficulties is therefore crucial for successful day-to-day communication. Previous research on the recovery from misinterpretations has focused on sentences containing syntactic ambiguities. The present study instead investigated the outcome of…

The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…

We examined whether the position of modifiers in English influences how words are encoded and subsequently retrieved from memory. Compared with premodifiers, postmodifiers might confer more perceptual significance to the associated head nouns, are more consistent with the "given-before-new" information structure, and might also be easier…

The Comprehensive Test of Phonological Processing, 2nd Edition (CTOPP-2; Wagner et al., 2013) is commonly used in k-12 public schools to assess basic cognitive processing skills foundational for reading achievement. Psychometric support for its use with dual language learners (DLLs), a group representing over 10% of the school-aged population in…

Causal sequences can be segmented into cause and effect. However, some argue causal relations in discourse are by default in "effect-cause" order. Others claim "cause-effect" order is easier to process and the default way of expressing causality, due to iconicity. We conducted experiments testing participants' production…

This study introduces the Constructed Response Analysis Tool (CRAT), a freely available tool to automatically assess student responses in online tutoring systems. The study tests CRAT on a dataset of chemistry responses collected in the ChemVLab+. The findings indicate that CRAT can differentiate and classify student responses based on semantic…

This study assesses the extent to which machine learning techniques can be used to predict question quality. An algorithm based on textual complexity indices was previously developed to assess question quality to provide feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). In…

Previous evidence suggests that grammatical constraints have a rapid influence during language comprehension, particularly at the level of word categories (noun, verb, preposition). These findings are in conflict with a recent study from Angele, Laishley, Rayner, and Liversedge (2014), in which sentential fit had no early influence on word…