Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…

Arai et al. (2007) showed that structural priming in the comprehension of English dative sentences only occurred when the verb was repeated between prime and target, suggesting a lexically-dependent mechanism of structure prediction. However, a recent study in Mandarin comprehension found abstract (verb-independent) structural priming and such…

Electrophysiology studies have identified two event-related potentials that are modulated by predictive processes during language comprehension: the N400 and a frontal positivity. The N400 is smaller when words are presented within highly restrictive sentences, indicating reduced lexical retrieval costs. Violations of strong predictions generate…

Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…

Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…

Structural priming studies in production have demonstrated stronger priming effects for unexpected sentence structures (inverse preference effect). This is consistent with error-based implicit learning accounts that assume learning depends on prediction error. Such prediction error can be verb-specific, leading to strong priming when a verb that…

Informed by a theoretical model of satirical uptake, this study investigated processing behavior and comprehension of satirical news articles. Reading times for segments of minimally different satirical and non-satirical texts were collected using within-subjects (Experiment 1) and between-subjects (Experiment 2) designs. Segment reading times and…

Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…

Open-ended "constructed responses" promote deeper processing of course materials. Further, evaluation of these explanations can yield important information about students' cognition. This study examined how students' constructed responses, generated at different points during learning, relate to their later comprehension outcomes.…

Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…

Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…

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 representational product of sentence comprehension is the result of the interplay between episodic and semantic memory and our knowledge of the grammatical devices of our language which guide how we retrieve information from these systems. Past participles, being a part of speech derived from verbs but used in a prenominal position (e.g. words…

This study investigates the processing of long-distance syntactic dependencies by native speakers of Slovenian (L1) who are advanced learners of Italian as a second language (L2), compared with monolingual Italian speakers. Using a self-paced reading task, we compare sensitivity of the early-acquired L2 learners to syntactic anomalies in their L2…