نتایج جستجو برای: computer assisted language learning call

تعداد نتایج: 1616396  

2013
G. Singaravelu

The study illuminates the effectiveness of Computer Assisted Learning in Tamil Grammar for the learners at standard VIII. Computer Assisted Learning is particularly beneficial for any student learning a language. It promotes peer interaction, which helps the development of language and the learning of concepts with content. It is important to assign TLL (Tamil Language Learners) to different te...

Journal: :Technology in Language Teaching & Learning 2023

Before the COVID-19 pandemic, universities in Japan had been slow to transition from paper-based digital methods and materials. In addition, most applicable theories for teaching learning languages with technologies not considered deeply by many university teachers, their beliefs about these thoroughly investigated. This paper presents a preliminary investigation of theoretical assumptions Engl...

2016
John Lee Mengqi Luo

We present a computer-assisted language learning (CALL) system that generates fill-in-the-blank items for preposition usage. The system takes a set of carrier sentences as input, chooses a preposition in each sentence as the key, and then automatically generates distractors. It personalizes item selection for the user in two ways. First, it logs items to which the user previously gave incorrect...

Journal: :ReCALL 2009
Beatriz de los Arcos James A. Coleman Regine Hampel

Success and failure in language learning are partly determined by the learners’ ability to regulate their emotions. Negative feelings are more likely to frustrate progress, while positive ones make the task of learning a second language (L2) a more effective experience. To date no significant body of research has been carried out into the role of anxiety in the field of computer-assisted langua...

2013
Nobuaki MINEMATSU

Early works aiming at technical support of teaching and learning pronunciation of foreign language can be found in the 1980s, where technologies for speech analysis, synthesis, and recognition were examined. In the 1990s, with the help of statistical frameworks, speech recognition and synthesis technologies were greatly improved and CALL (Computer Assisted Language Learning) studies benefited m...

2011
Bruno Almeida Rui Prada Isabel Trancoso

Computer Assisted Language Learning (CALL) systems aim to teach a language providing technology and motivation to the user. They allow us to implement pedagogical content, motivational techniques and corrective feedback. On this basis, we present Medieval Adventure, which is a CALL system that aims to teach Portuguese’s basic levels to adults. Medieval Adventure teaches a second language mainly...

2014
Xiaoyun Wang Jin-Song Zhang Masafumi Nishida Seiichi Yamamoto

This paper describes a method of generating a reduced phoneme set for dialogue-based computer assisted language learning (CALL) systems. We designed a reduced phoneme set consisting of classified phonemes more aligned with the learners’ speech characteristics than the canonical set of a target language. This reduced phoneme set provides an inherently more appropriate model for dealing with misp...

2010
Hyungjong Noh Minwoo Jeong Sungjin Lee Jonghoon Lee Gary Geunbae Lee

One of the best effective way to learn a language is having a conversation with a native speaker. However it is often very expensive way. A good alternative way is using Dialog-Based Computer Assisted Language Learning (DB-CALL) systems. The feedback quality in DB-CALL systems is very important. Therefore, to provide various expressions as feedback information, we propose a method which extract...

Journal: :System 2021

Qualitative research in computer-assisted language learning (CALL) has received more attention recently, most evidently from the publications of two special issues on qualitative CALL by CALICO Journal (2015) and Language Learning & Technology (2018). The inherent strength studies is that they celebrate depth interpretation focusing specific contexts a small number participants. Yet this can so...

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