Are you conducting research at the intersection of artificial intelligence (AI), language learning, and assessment? The journal Computer Assisted Language Learning (CALL) is inviting submissions for a special issue titled:
Beyond Automation: AI-Driven Language Assessment in CALL through Pedagogical, Ethical and AI Literacy Lenses
This special issue explores how AI is reshaping language assessment practices in CALL, moving beyond automation to consider pedagogical value, ethical implications, and AI literacy for both teachers and learners.
Why This Special Issue Matters
Language assessment plays a crucial role in evaluating learners’ linguistic proficiency and communicative competence. With the rise of AI-driven tools such as:
- Automated Writing Evaluation (AWE)
- Automated Essay Scoring (AES)
- Automatic Speech Recognition (ASR)
- Pronunciation evaluation systems
- Adaptive testing platforms
…assessment has become more scalable, efficient, and personalized. These innovations allow for hybrid models where human judgment and AI-generated feedback work together to enhance learning outcomes.
However, important questions remain:
- How can we ensure validity, fairness, and transparency in AI-supported assessment?
- What are the ethical challenges in deploying AI for diverse learners and underrepresented languages?
- How do AI tools reshape the roles of teachers and learners in language classrooms?
- What does AI literacy mean for future educators?
This special issue aims to critically examine these questions, pushing the field toward responsible, inclusive, and pedagogically meaningful AI integration in CALL-based assessment.
Topics of Interest
Submissions are welcome on (but not limited to):
- Human–AI collaboration in formative assessment
- AI-enhanced diagnostic and adaptive testing tools
- Effects of AI-mediated assessment on teaching, learner agency, and AI literacy
- Hybrid models integrating teacher and AI feedback
- Validity, reliability, and transparency in AI-driven assessment
- Ethical and fairness considerations in AI for diverse populations
- AI literacy development and teacher professional training
- Machine-generated feedback and its impact on learner metacognition
- The role of large language models (LLMs) like ChatGPT in assessment
Key Information
Abstract deadline: October 31, 2025
Notification of acceptance: November 30, 2025
Full manuscript deadline: June 30, 2026
Estimated publication: Early 2027
Submission Guidelines
- Submit a 500-word abstract to the Guest Editors at call.assessment@gmail.com.
- Follow the CALL journal Instructions for Authors for formatting and word limits.
- When submitting your manuscript via ScholarOne, choose the option:
AI-Driven Language Assessment in CALL.
Guest Editors
- Yijen Wang, Waseda University – y.wang@aoni.waseda.jp
- Glenn Stockwell, The Education University of Hong Kong – gstock@eduhk.hk
- Wen-Chi Vivian Wu, National Chung Hsing University – vivwu123@dragon.nchu.edu.tw
- Mirjam Hauck, The Open University – mirjam.hauck@open.ac.uk
Why You Should Submit
This special issue offers a unique opportunity to:
- Contribute to the future of AI in language assessment.
- Address pressing pedagogical and ethical concerns in CALL.
- Share insights with an international academic community.
If your research aligns with AI in education, language assessment, ethics, or CALL, this is your chance to publish in a leading journal and shape the global conversation.
🔗 Don’t miss the abstract deadline: October 31, 2025
Leave a Reply