International Journal of Computer-Assisted Language Learning and Teaching
April 2018 Volume 8, Number 2
Table of Contents
Number of articles: 5
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I Tweet, You Tweet, (S)He Tweets: Enhancing the ESL Language-Learning Experience Through Twitter
Geraldine Blattner, Florida Atlantic University, Boca Raton, United States; Amanda Dalola, University of South Carolina, Columbia, United States
This study seeks to further the research on online language learning by examining the level at which intermediate ESL students understand and process sociopragmatic information in their second... More
pp. 1-19
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Language Teaching in 3D Virtual Worlds with Machinima: Reflecting on an Online Machinima Teacher Training Course
Michael Thomas, University of Central Lancashire, Preston, United Kingdom; Christel Schneider, CSiTrain, Hamburg, Germany
This article is based on findings arising from a large, two-year EU project entitled “Creating Machinima to Enhance Online Language Learning and Teaching” (CAMELOT), which was the first to... More
pp. 20-38
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Planning for Future Inquiry: Gaps in the CALL Research
Joy Egbert, Seyed Shahrokni, Xue Zhang, Intissar Yahia, Nataliia Borysenko, Adnan Mohamed, David Herman, Sonia Lopez-Lopez & Chioma Ezeh, Washington State University-Pullman, Pullman, United States; Faraj Aljarih, University of Benghazi, Suluq, Libya
The body of research on CALL tasks and topics grows daily; however, there are still a number of areas that are underrepresented in the literature. While there are many gaps in the CALL research to ... More
pp. 39-59
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Exploring EFL Learners' Perspectives on Instructional Videos
Yan Ding, Beijing Jiaotong University, Beijing, China
Instructional videos play a central role in most online English courses of the current generation. However, previous research on the design and production of these videos has not been adequate,... More
pp. 60-74
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Output Register Parallelism in an Identical Direct and Semi-Direct Speaking Test: A Case Study
Ethan Quaid, Xi'an Jiaotong-Liverpool University, Suzhou, China
The present trend in developing and using semi-direct speaking tests has been supported by test developers and researchers' claim of their increased practicality, higher reliability and concurrent ... More
pp. 75-91