Jiho Noh

Assistant Professor, Department of Computer Science, Kennesaw State University
Lab Director, Cognition and Learning Design Lab

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I’m an Assistant Professor of Computer Science at Kennesaw State University, where I direct the Cognition and Learning Design Lab. My research sits at the intersection of **Natural Language Processing (NLP), Information Retrieval (IR), and the science of human learning — building AI systems that understand, support, and adapt to learners.

My work focuses on three intertwined problems: 1) designing intelligent tutoring and feedback systems grounded in how people actually learn, drawing on knowledge tracing and student modeling; 2) making AI-driven educational systems interpretable and trustworthy for both teachers and students, through explainable learning analytics and human-centered design; 3) leveraging large language models to personalize educational experiences at scale — from adaptive content delivery to automated assessment and formative feedback. I ground this work in empirical user studies, educational data mining, and real classroom deployments.

I received my Ph.D. in Computer Science from the University of Kentucky, where I worked on neural representations for biomedical information retrieval with Dr. Ramakanth Kavuluru. Before joining KSU, my work spanned biomedical NLP, precision medicine retrieval, and clinical entity normalization — experiences that shaped my commitment to building AI systems that operate reliably in high-stakes, knowledge-intensive domains.

I am always looking for motivated students passionate about NLP, AI in Education, and Learning Analytics. Feel free to reach out if you’re interested in joining the lab.

news

Apr 15, 2026 :tada: Congrats to Sam and Phillip on getting “Using Poly-Encoders for Computationally Efficient Automated Creativity Assessment” accepted as a short paper at #AIED2026! :brain: The work explores using Poly-Encoders paired with BERT-family models to assess student creativity — matching LLM-level accuracy at a fraction of the compute cost, running in milliseconds on consumer CPUs. A meaningful step toward making AI-powered creativity assessment practical in real classrooms. Well deserved in a record-breaking competitive year! :clap:
Jan 15, 2026 Paper on arXiv: “Automated Domain Question Mapping (DQM) with Educational Learning Materials.” arXiv:2601.07062
Mar 01, 2025 “Investigating the Transferability and Robustness of Adversarial Attacks Between Standard and Dilated CNN Architectures” (with Sachin Sharma and Michael S. Alexiou) accepted at the International Conference on Advanced Information Networking and Applications (AINA) 2025.
Jan 20, 2025 Paper accepted at IEEE ICSC 2025: “YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners’ Perspectives.”