The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…

It has been repeatedly found that idioms are processed faster than syntactically matched literal phrases, in both comprehension and production. This has led to debate about whether idioms are accessed as chunks or built compositionally, with different studies attempting to measure the effect of compositionality on processing, with differing…

Cognitive-informed reading education research utilises models that are underpinned by the notion that reading is a mental process of word recognition multiplied by language comprehension. Examples of these models include the Simple View of Reading, the Cognitive Foundations Framework, the Reading Rope and the Active Model of Reading. These models…

Formative assessment plays a critical role in improving learning outcomes by providing feedback on student mastery. Open-ended questions, which require students to produce multi-word, nontrivial responses, are a popular tool for formative assessment as they provide more specific insights into what students do and do not know. However, grading…

In everyday life, humans rely on working memory (WM) processes to make sense of relationships between linguistic elements that are not linearly adjacent. For example, to understand the sentence "The dog that the cat chased is cute," we encode the referent "the dog" into WM, maintain and retrieve it after reading the verb…

In this study, we asked how the emotional status, i.e., valence and arousal, and concreteness of idioms contribute to their processing. Additionally, we asked whether the contribution of emotional factors and concreteness is modulated by other linguistic constraints, specifically idiom familiarity and decomposability, that has been shown to impact…

Segmentation is a cornerstone of language processing across levels of linguistic analysis, and yet, standard models of linguistic memory leave the role of higher-order segments in online comprehension understudied. This dissertation advances the Context-Sensitive Encoding (CSE) hypothesis: that implicit prosodic boundaries (Bader, 1998; J. Fodor,…

Language comprehension requires a complex series of decisions under uncertainty. This is especially obvious when one string may have multiple different interpretations, whether due to lexical ambiguity, or the potential for an inference beyond literal content. This dissertation profiles how the human system for language comprehension times those…

Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…

Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…

Reading is a fascinating cognitive process through which individuals perceive arbitrary symbols on a page and turn them into vivid mental representations of text. Most available evidence supports an embodied explanation for how readers are capable of such representations--they recruit supralinguistic brain regions in order to mentally simulate the…

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…

This study used a correlational design and a path analytic approach to investigate direct and indirect relationships between strategic backtracking and integrated text understanding when undergraduates read a digital informational text on a tablet or a smartphone. In digital reading contexts, strategic backtracking involves that readers…

The current study investigated gender (control) and number (target) agreement processing in Northern and non-Northern Norwegians living in Northern Norway. Participants varied in exposure to Northern Norwegian (NN) dialect(s), where number marking differs from most other Norwegian dialects. In a comprehension task involving reading NN dialect…

Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…