Types, purposes, and effectiveness of state-of-the-art technologies for second and foreign language learning

By Ruofei Zhang, Di Zou. Computer Assisted Language Learning, 2020

318 citations recorded by the source corpus.

Abstract Digital technologies have been widely used to enhance language learning, the effectiveness of which has been acknowledged in the literature. With the rapid development of digital devices and technologies, increasing technologies have been used in the most recent several years, leading to more diversified approaches to language education. This exceptional advance over the past few years calls for a summary of state-of-the-art technologies that have been used to enhance language learning and promote effective learning. The present study was conducted to fill this gap by reviewing all the relevant publications in 10 widely recognised journals in the field of technology-enhanced language learning. An analysis of 57 articles indicated five major types of technology for second and foreign language learning (i.e. technologies for mobile learning, multimedia learning and socialisation, speech-to-text and text-to-speech recognition, and digital-game-based learning). The results also showed four primary purposes and benefits of the state-of-the-art technologies: promoting practices, delivering instructional content, facilitating interactions, and restructuring teaching approaches. Moreover, these state-of-the-art technologies have been integrated into various aspects of language teaching and learning, the overall impact of which has been positive.

Subfields: Education, Information Systems, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/cb59b458d56b59ebcc5e184c926f8f8386f538f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Haoran Xie
2. Ling Wei
3. Shuqiong Luo
4. Gwo-Jen Hwang
5. Cuiping Song
6. Yanping Song
7. Di Zou

In Information Systems

1. Haoran Xie
2. Ling Wei
3. Gwo-Jen Hwang
4. Shuqiong Luo
5. Di Zou
6. Jaclyn Broadbent

In Language and Linguistics

1. Di Zou
2. Ling Wei
3. Gwo-Jen Hwang
4. Shuqiong Luo
5. Haoran Xie
6. Cuiping Song
7. Yanping Song

Citations in the corpus

• Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning (2023, background): “Additionally, AI is widely employed in language learning to enhance learners’ language skills and sub-skills (Zhang and Zou, 2020; Xia et al., 2022a).”
• Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students (2023, background): “…recognized the potential of AI in language learning and teaching contexts, aiming to enhance teaching methodologies for language instructors and facilitate language learners’ language acquisition (Luckin et al., 2016; Zhang and Zou, 2020; Nazari et al., 2021; Sun et al., 2021; Xia et al., 2022).”
• A systematic review of research on flipped language classrooms: theoretical foundations, learning activities, tools, research topics and findings (2020, methodology): “Similar methods have also been applied in other review studies (e.g. in Su & Zou, 2020; Zhang & Zou, 2020; and Zou, Huang, & Xie, 2019).”