Presentation Schedule


Presenter Registration Banner 5

AI-Enhanced, CEFR-Aligned Placement for International Graduate Students: A Collaborative, Data-Informed Model (109702)

Session Information: Teaching and Learning Experiences
Session Chair: Karen K. Fujii
This presentation will be live-streamed via Zoom (Online Access)

Friday, 19 June 2026 13:55
Session: Session 3
Room: Live-Stream Room 2
Presentation Type:Live-Stream Presentation

All presentation times are UTC + 2 (Europe/Paris)
– click here to convert to your timezone

Institutions increasingly face challenges in accurately placing international graduate students into appropriate language support pathways, often resulting in misalignment between student proficiency, curriculum demands, and program outcomes. This presentation introduces a collaborative, AI-enhanced assessment model designed to improve placement accuracy and support data-informed decision-making across graduate programs. Drawing on multi-institutional partnerships with U.S. universities, including large-scale implementation with over 300 international students, this session presents evidence of how CEFR-aligned, multi-skill assessment combined with AI-assisted scoring can provide a more comprehensive and precise evaluation of academic English proficiency. The model integrates both automated and human scoring to capture linguistic performance across syntax, semantics, and discourse-level features, while maintaining reliability and scalability. Findings demonstrate how enhanced placement data can inform curriculum design, optimize course sequencing, and enable earlier, targeted student support. The session will also highlight how cross-institutional collaboration has contributed to refining assessment practices and addressing shared challenges in international student placement. Participants will engage with a practical framework for implementing similar assessment systems within their own institutional contexts. The presentation emphasizes actionable strategies for aligning assessment, placement, and student success outcomes, offering a scalable model adaptable to diverse educational settings. By bridging research, technology, and practice, this session contributes to ongoing global conversations on the role of artificial intelligence in educational assessment and the need for more integrated, student-centered placement approaches.

Authors:
Sotiria Koui, Community College of Philadelphia, United States


About the Presenter(s)
Sotiria Koui is currently an Assistant Professor of English at the Community College of Philadelphia, in US.

See this presentation on the full scheduleFriday Schedule



Conference Comments & Feedback

Place a comment using your LinkedIn profile

Comments

Share on activity feed

Powered by WP LinkPress

Share this Presentation

Posted by James Alexander Gordon

Last updated: 2023-02-23 23:45:00