🇩🇪 Call for Chapters: Data-Driven Language Teaching

Location: Germany
Deadline: 1 May 2026

Call for chapter proposals for ‘Data-Driven Language Teaching and Learning: Theory, Research, and Practice’ to be published by Springer. Abstract deadline: 1 May 2026.

A new edited volume titled ‘Data-Driven Language Teaching and Learning: Theory, Research, and Practice’ is being published by Springer. The book aims to bridge the gap between research insights and instructional decision-making in language teaching.

The editors invite chapter proposals from researchers and practitioners in corpus linguistics, applied linguistics, and language education. Topics of interest include corpus-based approaches, data-informed instructional design, and AI-assisted feedback.

• Corpus-based and data-driven approaches to language teaching and assessment
• Data-informed instructional design and materials development
• Classroom applications of Data-Driven Learning (DDL)
• AI-assisted feedback and adaptive learning platforms

Abstracts of 400-600 words are due by 1 May 2026. Full chapters will be invited based on accepted abstracts.

To submit, email the corresponding editor, Mehrdad Vasheghani Farahani, at submittingpapers@yahoo.com with the subject line ‘Chapter Proposal – Data-Driven Language Teaching and Learning’.

Tags: Data-Driven Language Teaching, Corpus Linguistics, Language Education, Springer Publication, Language Learning, Educational Technology, AI in Education, Germany