Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…

We conducted a broad-coverage investigation of the effects of syntactic distance and word order on language processing against a dependency-annotated reading time corpus of English. A combined method of quantitative syntax and psycholinguistic analyses was adopted to yield converging evidence. It was found that (i) head-initial structures allow…

In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…

Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…

Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we…

This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…

The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…

The purpose of the study was to investigate the effectiveness of teaching a three-step paraphrasing strategy on expository reading comprehension of young adults with intellectual disability. Ten learners from a postsecondary education program for individuals with disability participated in the study. They were randomly assigned to the control and…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The Landscape Model of text comprehension was extended to the comprehension of audiovisual discourse from text and video TV news stories. Concepts from the story were coded for activation after each sequence, creating a matrix of activations that was reduced to a vector of the degree of total activation for each concept. In Study 1, the degree…

Dynamical, self-organizing models of sentence processing predict "digging-in" effects: The more committed the parser becomes to a wrong syntactic choice, the harder it is to reanalyze. Experiment 1 replicates previous grammaticality judgment studies (F. Ferreira & J. M. Henderson, 1991b, 1993), revealing a deleterious effect of lengthening the…

An adult developmental model of self-regulated language processing (SRLP) is introduced, in which the allocation policy with which a reader engages text is driven by declines in processing capacity, growth in knowledge-based processes, and age-related shifts in reading goals. Evidence is presented to show that the individual reader's allocation…

This study investigates the phenomenon that listeners of English were surprisingly accurate at predicting the temporal end of a sentence when only given the part up to the "potentially last word," that is a noun before an optional prepositional phrase of varying lengths. Results of four experiments using either French or English are given. (35…

Describes the different priming procedures and experimental variables used for gaining access to the nature of the lexical representation of morphological information and summarizes the experimental data collected across different languages. Notes that responses to a target word in auditory word recognition tasks can be facilitated when the word…

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…