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…

Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…

The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…

Educational societies encountered rapid development in all fields of knowledge, assisted by the invention of new technologies and development of linguistic systems. Over time, researchers contribute to design well known instructional models such as traditional-based and inquiry-based models. However, the previous literature investigations showed…

A large body of work has demonstrated that reader resources influence inference processes and comprehension, but few models of comprehension have accounted for such resources. The Direct and Mediational Inference model of comprehension (DIME) assumes that general inference processes mediate the effects of reader resources on general comprehension…

A large body of work has demonstrated that reader resources influence inference processes and comprehension, but few models of comprehension have accounted for such resources. The Direct and Mediational Inference model of comprehension (DIME) assumes that general inference processes mediate the effects of reader resources on general comprehension…

The precise structure of speech sound representations is still a matter of debate. In the present neurobiological study, we compared predictions about differential sensitivity to speech contrasts between models that assume full specification of all phonological information in the mental lexicon with those assuming sparse representations (only…

In this thesis, we study the importance of background knowledge in relation extraction systems. We not only demonstrate the benefits of leveraging background knowledge to improve the systems' performance but also propose a principled framework that allows one to effectively incorporate knowledge into statistical machine learning models for…

In recent years, memory-based and explanation-based theories have dominated the discourse processing literature. Numerous studies have been conducted to show support for each of the two views. Most of these studies have manipulated factors in the episodic memory trace of texts, without a great deal of focus on how general world knowledge impacts…

Two findings serve as the hallmark for hemispheric specialization during lateralized lexical decision. First is an overall word advantage, with words being recognized more quickly and accurately than non-words (the effect being stronger in response latency). Second, a right visual field advantage is observed for words, with little or no…

Argues that the syntactic and mental model accounts of the suppression effect in deductive reasoning are inadequate. Proposes a relative salience model. Describes a test of predictions from this model in a suppression model, which obtained evidence of convergent validity for the salience construct. Results could not be reconciled with either the…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Part of a research project designed to develop a theory of the cognitive processes involved in skilled reading by the analysis of the location and duration of eye fixations, this paper concentrates on how eye fixations can be used to determine when encoding, lexical access, parsing, and integration processes are executed and how they are affected…

Two research areas, schema theory and linguistic theory, are described which have contributed to theories about language comprehension. Models of language comprehension conceptualized by Roger Schank, Carl Frederiksen, and Walter Kintsch are discussed in relation to the research and evaluated for practical use in reading instruction. (Author/PP)

Describes how to use a language-processing model to develop holistic reading strategies for college-level English-as-a-Second-Language students. The paper explains how to use an English reading processor, develop a supplementary reading program, access students' background knowledge, and find methods that work, noting that this model will nurture…