A Bibliometric Analysis of Computer-assisted English Learning from 2001 to 2020

Abstract

The aim of this study was to reveal hotspots and frontiers of computer-assisted English learning (CAEL) studies indexed by EI Compendex database from 2001 to 2020 via bibliometric analysis. The publication output has exponentially grown in the past two decades and is likely to progress in the next several years. China occupied the leading position， while Lecture Notes in Computer Science was the most prolific journal, and Deyi Xiong was the most productive author. Keyword analysis was assisted by VOSviewer software. Our results show that “computer aided instruction”, “computer aided language translation” and “learning systems” were the most frequently used keywords in documents. CAEL studies were mainly conducted from five dimensions (technology, learners, teaching, English acquisition and testing). The findings of this study have implications for English language instructors. Teaching methods and modes should be adjusted according to technology development.

A Bibliometric Analysis of Technology-Based Foreign Language Learning during the COVID-19 Pandemic: Direction for Indonesia Language Learning

“…It indicates that authors in Peru have the widest networking research related to the studies of the use of technology in foreign language learning from 2020 to 2022. Liu and Zhang [34] also found a similar report that authors in America had numerous networking researches with other authors in Africa, Asia, Europe, and Australia related to the studies of computer-assisted English learning. This was in line with Cheng and Yao [32] reporting that regarding wearable devices and their application to English education, many authors in most countries have interacted with authors in America.…”

“…It means that most of the countries contributing to the studies related to the use of technology in foreign language learning in the period of 2020 -2022 are located in Asia. Liu and Zhang [34] also revealed in a bibliometric analysis study that many countries located in Asia provided the most influential publications and citations of the studies related to computer-based English learning.…”

“…These findings indicate that the publication development of the documents regarding the studies of technology-based foreign language learning during the COVID-19 pandemic relatively fluctuates. Some bibliometric analysis studies also revealed that the development of publication related to the use of computer technology in English learning relatively fluctuates [32]- [34]. It can be expected that the publication trend will increase until the end of 2022 because the studies related to the use of technology in language learning as a consequence of the COVID-19 outbreak will continue [45], [46].…”

“…It means that the studies have been conducted by many researchers in most of the countries in the world. Some bibliometric analysis studies also revealed that a lot of researchers in most countries had carried out studies related to the use of technology in language learning [32]- [34].…”

Charting the landscape of data-driven learning using a bibliometric analysis

“…Previous enquiries in this line have applied bibliometric analysis to map out the development of research fields, such as applied linguistics or computer-assisted language learning (Chen, Zou, Xie & Su, 2021; Jung, 2005; Liu & Zhang, 2021), L2 vocabulary acquisition (Meara, 2012), corpus linguistics (Park & Nam, 2017), multilingualism (Lin & Lei, 2020), English for academic purposes (EAP) (Hyland & Jiang, 2021a), and ESP (Hyland & Jiang, 2021b; Liu & Hu, 2021). A recent application of this approach in DDL is He and Wei (2019), who investigated the role of corpora in EAP research from 2009 to 2018.…”