Web 2.0 Technology Meets Mobile Assisted Language Learning

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mobile-Assisted Language Learning

The main characteristics of mobile learning (m-learning) are recognized as the potential for learning process to be personalized, spontaneous, informal and ubiquitous. Although learning through mobile phones may take longer time compared to computers, the learners feel a greater sense of freedom of time and place, so that they can take the advantage of spare time to learn a second language when...

متن کامل

Mobile Assisted Language Learning: A Literature Review

Mobile assisted language learning (MALL) is a subarea of the growing field of mobile learning (mLearning) research which increasingly attracts the attention of scholars. This study provides a systematic review of MALL research within the specific area of second language acquisition during the period 2007 2012 in terms of research approaches, methods, theories and models, as well as results in t...

متن کامل

Web Readability and Computer-Assisted Language Learning

Proficiency in a second language is of vital importance for many people. Today’s access to corpora of text, including the Web, allows new techniques for improving language skill. Our project’s aim is the development of techniques for presenting the user with suitable web text, to allow optimal language acquisition via reading. Some text found on the Web may be of a suitable level of difficulty ...

متن کامل

Evaluating integrated NLP in foreign language learning: technology meets pedagogy

In this paper I would like to present the pedagogical perspective upon a 3-year research project with direct implications for the field of Foreign Language Teaching (FLT), and English for Professional Purposes (ESP) in particular. As a project in Computer Science, the basic aim of LARFLAST 1 was to investigate the integration of several innovative software components into a harmonized environme...

متن کامل

Corpus linguistics meets language technology:

To the extent that NLP is used by QA systems, it is mostly limited to tokenization, named entity recognition, stemming, POS tagging, and shallow parsing. More sophisticated NLP such as (deep) syntactic parsing is hardly ever used. In the present paper I investigate why this should be the case and try to establish how deep syntactic parsing as developed in the field of corpus linguistics might c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IALLT Journal of Language Learning Technologies

سال: 2011

ISSN: 1050-0049,1050-0049

DOI: 10.17161/iallt.v41i1.8482