This study attempted to test whether the use of computer-assisted language learning (CALL) and innovative collaborative learning could be more effective than the use of traditional collaborative learning in improving students’ English proficiencies. A true experimental design was used in the study. Four randomly-assigned groups participated in the study: a traditional collaborative learning gro...

Learning styles are considered among the significant factors that aid instructors in deciding how well their students learn a second or foreign language (Oxford, 2003). Although this issue has been accepted broadly in educational psychology,further research is required to examine the relationship between learning styles and language learning skills. Thus, the present study was carried out to in...

In the present study we call attention to the close connection between languages and globalization, and we also emphasize the importance of the Internet and online websites in foreign language teaching and learning as unavoidable elements of computer assisted language learning (CALL). We prepared a checklist by which we investigated 28 foreign language teaching websites (4 from each of seven la...

In this paper, we examine various studies and reviews on the usability of Automatic Speech Recognition (ASR) technology as a tool to train pronunciation in the second language (L2). We show that part of the criticism that has been addressed to this technology is not warranted, being rather the result of limited familiarity with ASR technology and with broader Computer Assisted Language Learning...

We are developing a Computer Assisted Language Learning (CALL) system for practicing oral proficiency that makes use of Automatic Speech Recognition (ASR) to provide feedback on grammar and pronunciation. Since good quality unconstrained non-native ASR is not yet feasible, we use an approach in which we try to elicit constrained responses. The task in the current experiments is to select uttera...

This study aims to find out the effectiveness of Computer-Assisted Language Learning (CALL) by smartphones increase English proficiency Papuan EFL students. The mixed method was implemented specifically related explanatory sequential design (Quantitative-Qualitative) where research comprised two interactive stages. first stage carried collecting and analyzing quantitative data using pre-experim...

The use of technology has become increasingly important in language teaching and learning. The successful use of technology, however, requires that language teachers have the necessary technical competence and pedagogical knowledge. The volume Teacher Education in CALL, edited by Philip Hubbard and Mike Levy, appears at a critical time when the issue of how to prepare current and future languag...

This work consists of creating a system of the Computer Assisted Language Learning (CALL) based on a system of Automatic Speech Recognition (ASR) for the Arabic language using the tool CMU Sphinx3 [1], based on the approach of HMM. To this work, we have constructed a corpus of six hours of speech recordings with a number of nine speakers. we find in the robustness to noise a grounds for the cho...

Instructional grammar is often used in Computer-assisted Language Learning (CALL) and the grammatical error detection is an important feature. However, it is not an easy task in Chinese language. There is no delimiter separating consecutive words in Chinese sentences. Word segmentation is a process in which proper word boundaries are identified. Before syntactic parsing of a Chinese sentence, w...