This article describes challenges and benefits of modeling learner variability in Computer-Assisted Language Learning. We discuss the learner model of "E-Tutor," a learner model that addresses learner variability by focusing on certain aspects and/or features of the learner's interlanguage. Moreover, we introduce the concept of phrase descriptors,…

Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader perspective of student models for ICALL that incorporates insights from current research on second language acquisition and language testing. We argue for a student model…

As a first step towards implementing a human language teacher, we have developed a new template-based on-line ICALL (intelligent computer assisted language learning) system capable of automatically diagnosing learners' free-format translated inputs and returning error contingent feedback. The system architecture we have adopted allows language…

We describe a computer assisted language learning (CALL) system that uses human-machine dialogue as its medium of interaction. The system was developed to help students learn the basics of the Maori language and was designed to accompany the introductory course in Maori running at the University of Otago. The student engages in a task-based…

Mobile learning has long been identified as one of the natural directions in which CALL is expected to move, and as smaller portable technologies become less expensive, lighter and more powerful, they have the potential to become a more integral part of language learning courses as opposed to the more supplemental role often assigned to computer…

Focuses on student modeling within an Intelligent Tutoring System. Describes three domain-independent properties that the formalism representing student knowledge and the processes synthesizing this knowledge must possess to build accurate student models for second-language learning. Notes when, how, and where hypothetical reasoning mechanisms…

Describes The Audio Interactive Tutor (TAIT), an interactive audio/oral computer-assisted study device. TAIT's output consists of explanations and examples along with commands and questions requiring responses from the user. It uses speech recognition to determine the responses made by the user and constructs an evolving model of what the user…

This article discusses design and usability issues pertaining to context-sensitive "help" in computer-assisted language learning (CALL). As part of the discussion, we present a study in which we examined the effects of three independent factors on student usage of context-sensitive "help": feedback, exercise type, and language proficiency. Forty…

A study with 45 high school seniors investigated the relationship between performance in a computer-based 10-lesson science tutorial program and students' Myers-Briggs Type Indicator (MBTI) profiles. Results indicate performance differences in the program's two phases (knowledge acquisition and knowledge application) for all MBTI scales,…

Discusses the Military Language Tutor (MILT), a language-tutor authoring system, examining the development of a proof of principal version of MILT's two-dimensional Arabic microworld, which uses speech input to control an animated agent in solving an authored problem and describing an evaluation of the speech-driven microworld at Fort Campbell,…

The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…

Discusses a hypermedia prototype system constituting a hypermedia dictionary environment and a database of field-specific reading passages with related exercises, for utilization in the teaching of English engineering terminology in foreign language environments. (eight references) (CK)

Compares two approaches to teaching grammar with respect to accuracy of participant response over time. A traditional based program used the human teacher method, while Cyber Tutor, a computer-aided program, allowed students to annotate sentences while providing instant feedback and help facilities. (six references) (Author/CK)