Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…

In an intelligent tutoring system (ITS), it can be useful to know when a student has disengaged from a task and might benefit from a particular intervention. However, predicting disengagement on a trial-by-trial basis is a challenging problem, particularly in complex cognitive domains. In the present work, data-driven methods were used to address…

Despite a well-documented history of immigration in the United States of America and rise in population of students that speak a language other than English, academic achievement gaps between English Language Learners and their native English language speaking counterparts from Grades Pre-Kindergarten through the college/university level still…

Experience with a second language (L2) has been shown to facilitate learning of a third or subsequent language (L3) (Sanz 2000). However, little is known about how much L2 experience is needed before benefits for L3 development emerge, or about whether effects depend on type of L3 instruction. We report two experiments investigating initial…

Second language acquisition research into the effects of corrective feedback has investigated a variety of learning targets using a wide range of implicit and explicit feedback types (Li, 2010). To date, however, its linguistic focus has been limited to theoretically noticeable surface features (Carroll, 2001; Schmidt, 2001), and researchers have…

This paper discusses the nature of two basic semantic distinctions--intensional/extensional, and mental/physical (mental/physical being similar to abstract/concrete but more concrete)--and how an understanding of their interaction is an essential preliminary to writing a semantically motivated grammar of English. (Author/FWB)

A research program was planned to develop a first, experimental computer-assisted instruction system that would permit interaction with students in a subset natural English. At the base of this system was a model of cognition that would represent the knowledge content of the material to be taught and the student's current knowledge of it. A…

SCHOLAR is a computer-assisted instruction (CAI) system which is capable of true man-computer dialog. Using a subset of English, the system is capable of generating questions, answering questions, analyzing responses, and producing subsequent actions. SCHOLAR has a data base that is a complex but well defined information structure in the form of a…

This paper defines the structure of a semantic network for use in representing discourse and lexical meanings. The structure is designed to represent underlying semantic meanings that, with a lexicon and a grammar, can generate natural-language sentences in a linguistically justifiable manner. The semantics of natural English can be defined as a…

The system described in this report is designed for use as a computational tool that allows a linguist to develop and study methods for generating surface strings from an underlying semantic structure. Initial findings with regard to form-determiners (such as voice, form, tense, and mood), some rules for embedding sentences, and some attention to…