A tecnologia tem gerado convergência no ensino das línguas, melhorando as formas do em aula e criando novas possibilidades de aprendizagem autónoma. Intelligent Computer Assisted Language Learning (ICALL) permite corrigir erros forma autónoma inteligente, com base Sistema Tutorial Inteligente (STI) desenvolver estratégias autonomia. Os materiais autorregulada associados ao ICALL enriqueceram os...

ICALL systems that provide L2 learners with feedback on the grammatical quality of the sentences they are writing, should aim at a high level of relevance and acuracy, and be tunable to the level of grammatical knowledge and the learning strategy of the student. We present and demonstrate the prototype of a writing support system whose feedback is computed by a natural-language sentence generat...

The quality of most CALL programs is not well balanced with respect to the use of computer technology and of language content and processing. This imbalance can be explained by a number of constraints pulling CALL developers in diverging directions. For commercial CALLware the poor learner fit and lack of feedback is a serious impediment. So far ICALL approaches trying to overcome this have not...

This paper describes a Web-based Intelligent Computer Assisted Language Learning (ICALL) system that may self-improve its student modeler while it acquires knowledge from its users. The ICALL system is called Web-PVT and is a Web-based language tutor for the domain of the passive voice of the English language. The student modeling approach of Web-PVT considers the issue of language transfer of ...

The goal of this thesis is to explore how foreign language learning can be facilitated through the use of intelligent computer-assisted language learning (ICALL) based on natural language processing (NLP) methods. ICALL was provided in the form of a task-based dialog system that gives corrective feedback.We investigated how different parameters of the interaction affect the learning progress. B...

In this paper we present and discuss the results of the evaluation of an Intelligent Computer Assisted Language Learning (ICALL) system that operates over the Web. In particular, we aimed at evaluating the system along three dimensions: a) the effect of the intelligent features of the system on the learning outcome of students, b) the system’s ability to provide individualized support to studen...

Intelligent computer-assisted language learning—Intelligent CALL, or ICALL—can be defined in a number of ways, but one understanding of the term is that of CALL incorporating language technology (LT) for e.g. analyzing language learners’ language production, in order to provide the learners with more flexible—indeed, more ‘intelligent’—feedback and guidance in their language learning process. H...

When the user input is first received by the erver, th system performs a string match comparing the user's answer to pre-stored answers. Each pre-stored answer is accompanied by a previously computed analysis for student model updates. Storing multiple answers allows for freer student input and, at an introductory level, involves little extra work. At an advanced level where exercises become ev...

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 that includes a representation of the learner’s...