AI-Enhanced Teaching and Learning
Artificial Intelligence is reshaping how teaching and learning take place across educational contexts. This seminar explores innovative and evidence-based approaches to integrating AI into classroom practice, language education, skills development, and assessment.
We invite proposals that examine practical applications of AI in teaching and learning, including but not limited to:
• AI-enhanced teaching practices and instructional innovation
• Generative AI in language education and English language teaching
• AI-supported speaking, writing, reading, and listening development
• AI and academic writing instruction
• AI-assisted feedback and formative assessment
• Assessment design in the era of AI
• AI for critical thinking, creativity, and problem-solving
• AI and self-regulated learning
• AI-powered tutoring and personalized learning
• Communicative language teaching and AI integration
• AI for multilingual and intercultural learning
• Student experiences with AI-enhanced learning
• Teacher readiness and professional development
• Classroom-based research and pedagogical case studies
• Best practices for responsible AI use in educational settings
We welcome empirical research, classroom-based studies, conceptual papers, pedagogical innovations, and practitioner reflections from scholars and educators across disciplines. The seminar aims to showcase how AI can be meaningfully integrated into teaching and learning to support student success and educational innovation.
Submission Information
Conference: Northeast Modern Language Association (NeMLA) Annual Convention 2027
Seminar: AI-Enhanced Teaching and Learning
Abstract Length: 200–300 words
Proposal Deadline: September 30, 2026
Conference Dates: March 6–9, 2027
Conference Venue: Salve Regina University, Newport, Rhode Island, USA
Submission: Please submit your proposal through the official NeMLA seminar page:
https://cfplist.com/nemla/Home/S/22504
Conference Information: https://www.nemla.org/convention.html
Seminar Chair: Mohammad Azim Arbabi, PhD
Contact Email: mohammadazimarbabi@gmail.com