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12th International ACM SIGACCESS Conference on computers and Accessibility

作者： Weaver, Kimberly A. Starner, Thad Hamilton, Harley Georgia Inst Technol Sch Interact Comp Atlanta GA 30332 USA

ISBN: (纸本)9781605588810

language immersion from birth is crucial to a child's language development. However, language immersion can be particularly challenging for hearing parents of deaf children to provide as they may have to overcome many difficulties while learning sign language. We intend to create a mobile device-based system to help hearing parents learn sign language. The first step is to understand what level of detail (i.e., resolution) is necessary for novice signers to learn from video of signs. In this paper we present the results of a study designed to evaluate the ability of novices learning sign language to ascertain the details of a particular sign based on video presented on a mobile device. Four conditions were presented. Three conditions involve manipulation of video resolution (low, medium, and high). The fourth condition employs insets showing the sign handshapes along with the high resolution video. Subjects were tested on their ability to emulate the given sign over 80 signs commonly used between parents and their young children. Although participants noticed a reduction in quality in the low resolution condition, there was no significant effect of condition on ability to generate the sign. Sign difficulty had a significant correlation with ability to correctly reproduce the sign. Although the inset handshape condition did not improve the participants' ability to emulate the signs correctly, participant feedback provided insight into situations where insets would be more useful, as well as further suggestions to improve video intelligibility. Participants were able to reproduce even the most complex signs tested with relatively high accuracy.

关键词： American Sign language mobile devices computer assisted language learning

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Naturalistic CALL and Digital Gaming

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TESOL QUARTERLY 2013年第4期47卷 834-839页

作者： Chik, Alice City Univ Hong Kong Dept English Kowloon Hong Kong Peoples R China

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Adaptivity in educational systems for language learning: a review

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computer assisted language learning 2017年第1-2期30卷 64-90页

作者： Slavuj, Vanja Mestrovic, Ana Kovacic, Bozidar Univ Rijeka Dept Informat Rijeka Croatia

Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward acquisition order, such as mathematics or computer programming, they found their application in ill-defined domains as well. Natural language learning is one such domain, and developing adaptive instructional systems for this specific purpose is notoriously complex and challenging due to the nature of language systems. The paper at hand examines the theoretical background of adaptivity and intelligence in instructional systems, and discusses their application in learning and teaching of natural languages. Moreover, the paper reviews adaptive and intelligent language learning systems in existence and identifies their characteristics in a systematic manner. The discussion section offers a more detailed view of selected systems for language learning that exhibit interesting and innovative implementation solutions. The paper concludes by suggesting possible developmental directions and future work in the field.

关键词： Adaptive educational systems computer assisted language learning intelligent systems adaptive hypermedia systems personalisation

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User evaluation of an adaptive language learning system prototype 42

User evaluation of an adaptive language learning system prot...

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42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

作者： Slavuj, V. Kovacic, B. Jugo, I. Univ Rijeka Dept Informat Rijeka Croatia

ISBN: (纸本)9789532330984

In order for a piece of educational software to be accepted and continuously used by the target group of users, it needs to cater for the majority of their needs and deliver its services in a user-friendly way. That is why it is crucial to evaluate user satisfaction with a system during its developmental phase, so that issues may be dealt with even before it is introduced into day-to-day use. The paper at hand presents the results of examining user satisfaction with a prototype of language learning System (LLS) an adaptive, web-based system for language learning developed at our institution using an adapted version of a previously developed and verified questionnaire. It reports on the strengths and weaknesses of the system in question with a special emphasis on its content (tests, language tasks, learning materials and feedback opportunities), adaptive capabilities, and the overall graphical design, and, where appropriate, suggests ways for improvement. The results further reveal certain usage and study patterns of students and their general attitudes regarding computer aided language learning. A total of twenty university-level students, who were systematically preparing for a language comprehension test over a period of three weeks, participated in the study.

关键词： software evaluation user satisfaction adaptive educational system computer assisted language learning

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MALT - a Multi-lingual Adaptive language Tutor 12

MALT - a Multi-lingual Adaptive Language Tutor

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12th International Conference on Artificial Intelligence in Education (AI-Ed 2005)

作者： Scheutz, Matthias Heilman, Michael Wenger, Aaron Ryan-Scheutz, Colleen Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA

ISBN: (纸本)9781586035303

We describe a "Multi-lingual Adaptive language Tutor" (MALT) that uses natural language parsing and text generation to create various kinds of grammar exercises for learners of any language. These exercises can be restricted to specific topics by the instructor such as transformation of verb tenses. MALT generates novel exercises focusing on the specific difficulties of language learners as determined from their past mistakes, helping them overcome individual difficulties faster. We also present the first preliminary results from employing MALT in the foreign language classroom at Notre Dame.

关键词： intelligent tutoring system computer assisted language learning Italian

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GAUSSIAN MIXTURE MODELING OF VOWEL DURATIONS FOR AUTOMATED ASSESSMENT OF NON-NATIVE SPEECH

GAUSSIAN MIXTURE MODELING OF VOWEL DURATIONS FOR AUTOMATED A...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Sun, Xie Evanini, Keelan Univ Missouri Dept Comp Sci Columbia MO 65211 USA

ISBN: (纸本)9781457705397

This paper investigates using Gaussian Mixture Model (GMM) based vowel duration features for automated assessment of non-native speech. Two different types of models were compared: a single GMM trained on a reference corpus of native speech and separate GMMs for different proficiency levels trained on a large corpus of scored non-native speech. 13 vowel categories were evaluated separately (after normalization by rate of speech), and a multiple regression model was used to evaluate the performance of all vowel categories combined. Experiments on an English language proficiency assessment show that the non-native speech GMMs outperform the native speech GMMs, and that all 13 vowels have significant correlations with human scores when the non-native speech GMMs are used. The multiple regression combination obtained correlations with human scores of 0.71 when transcriptions were used to extract the vowel durations and 0.64 when the Automatic Speech Recognition (ASR) output was used. The experiments demonstrate that the vowel duration feature based on non-native speech GMMs is a useful predictor of L2 proficiency and is robust to different datasets and situations.

关键词： automated pronunciation assessment vowel duration computer assisted language learning Gaussian Mixture Model

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The utility of article and preposition error correction systems for English language learners: Feedback and assessment

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language TESTING 2010年第3期27卷 419-436页

作者： Chodorow, Martin Gamon, Michael Tetreault, Joel CUNY Hunter Coll New York NY 10065 USA

In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion(SM), developed by Educational Testing Service, and ESL Assistant , developed by Microsoft Research, both use machine learning techniques to build models of article and preposition usage which enable them to identify errors and suggest corrections to the writer. We evaluated the effects of these systems on users in two studies. In one, Criterion provided feedback about article errors to native and non-native speakers who were writing an essay for a college-level psychology course. The results showed a significant reduction in the number of article errors in the final essays of the non-native speakers. In the second study, ESL Assistant was used by non-native speakers who were composing email messages. The results indicated that users were selective in their choices among the system's suggested corrections and that, as a result, they were able to increase the proportion of valid corrections by making effective use of feedback.

关键词： computer assisted language learning ESL writing errors grammatical error detection natural language processing proofing tools

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Real-time interactive visualization aiding pronunciation of English as a second language 14

Real-time interactive visualization aiding pronunciation of ...

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14th IEEE International Conference on Advanced learning Technologies (ICALT) - Advanced Technologies for Supporting Open Access to Formal and Informal learning

作者： Dibra, Dorina Otero, Nuno Pettersson, Oskar Phys & Math DFM Linnaeus Univ Sch Comp Sci Vaxjo Sweden

ISBN: (纸本)9781479940387

Some studies have been reporting encouraging results concerning the possibilities of combining voice and its visual representation for language learning. Following this line of investigation this paper explores the potential impact of two distinct visualization styles for the learning of English pronunciation of syllables for non-native speakers: a) highlighting syllables and b) the visualization of the produced sound wave. In order to evaluate the benefits of the two different styles three distinct digital tool prototypes were created in order to test four study conditions. The conditions under evaluation were a) teaching syllables without the support of any digital tool;b) teaching using a prototype that highlighted the syllables under study;c) using a prototype that displayed the sound wave of the syllable to be learnt and d) a prototype that combined the functionality of b) and c). Results suggest that the combined approach seems to be as effective as the traditional classroom approach of teaching the syllables. However, more research is needed in order to consolidate the findings, being able to explore in more detail how is the learning process occurring and to what extend the tools developed can be integrated into classroom practice.

关键词： computer assisted language learning second language learning visualization styles of syllables pronunciation teaching Web Audio API

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Multivariate clustering for group language learning in Facebook

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6th International Conference on Intelligent Interactive Multimedia Systems and Services (KES IIMSS)

作者： Troussas, Christos Virvou, Maria Caro, Jaime Espinosa, Kurt Junshean Univ Piraeus Dept Informat Piraeus Greece Univ Philippines Dept Comp Sci Quezon City Philippines

ISBN: (纸本)9781614992622;9781614992615

The massive use of Facebook opens new horizons in the areas of information and communications technology, which induced changes in pedagogy. Towards this direction, we implemented an educational application for learning languages. In order to cover the heterogeneous group of people to which educational applications are targeted and to further emphasize the educational aspect of Facebook, we implemented and present the multivariate clustering for group learning in Facebook. By the incorporation of the multiple parameter based clustering, the problem of grouping students, in order to provide sophisticated user models, is further treated. Multivariate clustering is conducted by the k-means algorithm which takes as input, to initialize the process, multiple students' characteristics.

关键词： Multivariate clustering k-means algorithm Social Networking Sites Facebook computer assisted language learning User classification

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ALICE - ACQUISITION OF LINGUISTIC ITEMS IN THE CONTEXT OF EXAMPLES

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INSTRUCTIONAL SCIENCE 1989年第1期18卷 63-92页

作者： CERRI, SA UNIV MILAN DEPT INFORMAT SCII-20133 MILANITALY

Most natural language terms-such as verbs, nouns, conjunctions, prepositions-have a context-dependent meaning. The dependence of the meaning on the context changes with languages. This variability accounts for many er... 详细信息

关键词： Artificial Intelligence Conjunctions English French Italian learning Strategies Linguistic Difficulty (Inherent) Linguistics Remedial Instruction Second language InstructionConceptual Analysis computer assisted language learning Context Dependent Grammar

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