This action-research project was designed to assess how the use of video as a central instructional component impacts features of cross-cultural competence among adult ESL students. The study was conducted in a college-level intensive English language program in North America. Findings suggest that students' deeply embedded beliefs and values…

Research on computer-mediated communication (CMC) in the second language (L2) classroom has revealed the potential for technology to promote learner interaction and opportunities for negotiation of meaning as well as to provide opportunities for language access outside the classroom environment. Despite this potential, social, linguistic, and…

Numerous studies have indicated that the provision of appropriate computer-mediated support to second language (L2) learners results in different vocabulary learning outcomes. However, there is no study available that investigates the transition in their way of learning vocabulary under the influence of technology-based support. This article…

Second language (L2) reading comprehension is generally facilitated by both native language and L2 glosses. However, CALL learning opportunities are still not as common as they should be, and, therefore, the present meta-analysis contributes further evidence supporting the inclusion of more CALL experiences in reading contexts. The present study,…

A large body of research supports the efficacy of learning strategies employed in the acquisition of second language vocabulary. However, research also indicates that many such strategies are underused or misused by learners and, further, that any effort to integrate learner training in the use of such strategies into classroom instruction faces a…

Students learning foreign languages in the United States generally have little exposure to the target language outside the classroom. Web-based technology can facilitate language learning in context by offering easily accessible, authentic materials. This paper introduces MIMEA (Multimedia Interactive Modules for Education and Assessment), an…

This study explored affective factors in learning English as a foreign language in a 3D game-like virtual world, Quest Atlantis (QA). Through the use of communication tools (e.g., chat, bulletin board, telegrams, and email), 3D avatars, and 2D webpage navigation tools in virtual space, nonnative English speakers (NNES) co-solved online…

A classifier which is capable of distinguishing a syntactically well formed sentence from a syntactically ill formed one has the potential to be useful in an L2 language-learning context. In this article, we describe a classifier which classifies English sentences as either well formed or ill formed using information gleaned from three different…

In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…

In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove…

In this study, we focus on particle errors and discuss an annotation scheme for Korean learner corpora that can be used to extract heuristic patterns of particle errors efficiently. We investigate different properties of particle errors so that they can be later used to identify learner errors automatically, and we provide resourceful annotation…

A crucial question for automatically analyzing learner language is to determine which grammatical information is relevant and useful for learner feedback. Based on knowledge about how learner language varies in its grammatical properties, we propose a framework for reusing analyses found in corpus annotation and illustrate its applicability to…

This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…

Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…

This paper presents a "didactic triangulation" strategy to cope with the problem of reliability of NLP applications for computer-assisted language learning (CALL) systems. It is based on the implementation of basic but well mastered NLP techniques and puts the emphasis on an adapted gearing between computable linguistic clues and didactic features…