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【每日刊讯】Annual Review of Applied Linguistics《应用语言学年刊》2024年第44卷-共12篇论文（侵删）
2026-05-22 08:18:11 上传 0KB
Annual Review of Applied Linguistics《应用语言学年刊》2024年第44卷-共12篇论文（侵删） 
| 序号 | 类型 | 作者 | 题目 |
| 01 | Introduction | Andrea Révész et al. | Artificial intelligence in applied linguistics: Applications, promises, and challenges |
| 02 | Article | Ron Darvin | Identity and investment in the age of generative AI |
| 03 | Article | David Wei Dai et al. | How does interaction with LLM powered chatbots shape human understanding of culture? The need for Critical Interactional Competence (CritIC) |
| 04 | Article | AJ Alvero et al. | Digital accents, homogeneity-by-design, and the evolving social science of written language |
| 05 | Article | Okim Kang, Kevin Hirschi | Bias and stereotyping: Human and artificial intelligence (AI) |
| 06 | Article | Seongyong Lee et al. | Generative AI and English language teaching: A global Englishes perspective |
| 07 | Article | Daniela Verratti-Souto et al. | NLP-powered quantitative verification of the English Grammar Profile’s structure-level assignment |
| 08 | Article | Jerry Huang, Atsushi Mizumoto | The role of generative AI in mediating L2MSS and engagement with written feedback in EFL learning: A structural equation modeling approach |
| 09 | Article | Shaohua Fang, ZhaoHong Han | On the nascency of ChatGPT in foreign language teaching and learning |
| 10 | Article | Christine C. M. Goh, Vahid Aryadoust | Developing and assessing second language listening and speaking: Does AI make it better? |
| 11 | Article | Xiaoming Xi | Revisiting communicative competence in the age of AI: Implications for large-scale testing |
| 12 | Article | Anastasia Drackert | How good are LLMs in generating input texts for reading tasks in German as a foreign language? |
| 13 | Aysel Saricaoglu, Zeynep Bilki | The capacity of ChatGPT-4 for L2 writing assessment: A closer look at accuracy, specificity, and relevance | |
| 14 | Tiancheng Zhang et al. | Exploring the dual impact of AI in post-entry language assessment: Potentials and pitfalls | |
| 15 | Ethical AI for language assessment: Principles, considerations, and emerging tensions | ||
| 16 |
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