Dear Colleagues,
I am writing to share a brief reminder regarding the call for chapter proposals for our upcoming Springer edited volume, "Data-Driven Language Teaching and Learning: Theory, Research, and Practice."
We have already received a range of fascinating proposals, and we would love to see your work represented in this collection. We are specifically seeking contributions that span the full spectrum of Data-Driven Learning, from theoretical frameworks offering new perspectives on data-informed pedagogy to conceptual models for innovative instructional design and practical applications rooted in classroom-based research. Whether your research focuses on AI-assisted feedback, corpus-based materials development, or the unique challenges of implementing DDL in multilingual settings, we warmly invite you to share your insights.
Key Deadlines & Details:
Abstract Submission (400-600 words): 1 May 2026 Notification of Acceptance: June 2026 Full Chapters (7,000-9,000 words): October 2026 Review Process: Double-blind peer review
For full details on submission guidelines and the volume's scope, please refer to the Call for Chapters: https://tinyurl.com/3dbhk97f
Please feel free to reach out if you have any questions or would like to discuss a potential topic. We also encourage you to share this invitation with any colleagues or researchers who may be interested.
We look forward to receiving your abstracts!
Best,
Cansu Akan