Janet Mikyung Kim – Invited Speaker @ KOTESOL 2026
Invited Session
Securing Assessment Fairness: An Evidence-Based Assignment Approach in the AI Era
With the advances in generative AI, ELT instructors in universities are facing a crisis of trust: How can we be sure that student assignments truly reflect their own effort and learning? This session moves beyond the stress of policing AI and offers a practical, systemic approach to ensuring academic integrity. Instead of focusing solely on the final product, we will explore how to use "process data" – such as time spent on an assignment, revision patterns, and typing behaviors – as objective evidence of student engagement and effort. This session will demonstrate how to design assignments that encourage transparency and simplify the grading process. By shifting the focus to "Integrity by Design," instructors can reduce their administrative burden and avoid uncomfortable confrontations with students about AI over-reliance. This approach ensures that grades are awarded fairly based on genuine learning effort, providing a roadmap for managing assignments in any ELT course.
Biosketch
Janet Mikyung Kim is an educational consultant with a BA in English linguistics and an MA in English language teaching. She brings extensive experience in both classroom instruction and educational technology. Currently with Turnitin, she specializes in bridging the gap between pedagogical needs and technological solutions. Her work focuses on empowering instructors to maintain high academic standards while navigating the challenges of a rapidly changing educational landscape. She is dedicated to developing practical frameworks that protect assessment fairness and reduce faculty burnout through data-informed instruction.
Web Link
LinkedIn Profile: https://www.linkedin.com/in/janet-mikyung-kim-736132154/
Janet Kim's invited session is sponsored by Turnitin.
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