Narges Norouzi

Assistant Teaching Professor at EECS Berkeley

Bio:

Narges Norouzi is an expert in machine learning, with a focus on advancing education through AI-driven solutions. She earned her MS and Ph.D. from the University of Toronto, where she specialized in applied deep learning. Her research explores the development of innovative educational technologies, including the integration of large language models to enhance learning experiences, improve accessibility, and support educators. Narges leads multidisciplinary projects that bridge AI and education to address challenges in teaching, assessment, and student engagement. Her work has been funded by NSF, DARPA, and leading industry partners.

If you are interested in joining my research group, please fill out the Google Form at the bottom of this page.

Recent News:

[February 2025] Our team's presence @ SIGCSE 2025:

  • Full Papers:
    • "Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions."
    • "61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)"
  • Posters:
    • "LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components."
    • "From Code to Concepts: Textbook-Driven Knowledge Tracing with LLMs in CS1."
    • "Spotting AI Missteps: Students Take on LLM Errors in CS1."
    • "Raising the Bar: Automating Consistent and Equitable Student Support with LLMs."
    • "An Interactive Tool for Randomized Autogradable Graph Assessments."
    • "Checkpoint: A Tool for Supporting Terminal-Based Capture-the-Flag Assessments."
    • "Dynamic, Randomizable, Autogradable Visual Programming Simulations for Python Using Prairielearn."
  • BoF:
    • "Launching and Enhancing Summer Bridge Programs."

[October 2024] Our team received an award from Google's GARA program ($150K).

[October 2024] Our team's presence @ FIE 2024:

  • Full Papers:
    • "A Quantitative Analysis of a Summer Bridge Program's Impact on Students' Non-Academic Indicators."
    • "Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States"
  • WIP:
    • "Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms."
    • "Boosting CS Freshmen: The Impact of Summer Bridge Programs on Academic Success and Attitudes."
    • "Examining the Impact of a Flexible Extension Policy on Student Learning Experience in a LargeScale Computing Course."

[September 2024] Our project " Advanced Student Modeling and Tailored Large Language Models for Personalized Learning in Computer Science Education" has received a $600K award from the National Science Foundation. Project duration: 01/2025 - 01/2028.

[August 2023] Received an award from California Learning Lab for Building Inclusive and Collaborative Foundations in Data Science ($450K).

[April, 2023] Our project "CUE-P: Establishing Servingness in Computing through Baskin Engineering Excellence Scholars Program" has received a $1.93M award from the National Science Foundation. Project duration: 06/2023 - 05/2028.

[December 28, 2022] Our project "Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant" as a collaboration between UC Berkeley and North Carolina State University has received a $2M award from the National Science Foundation. Project duration: 05/2023 - 04/2027.

Education.

  • 2014-2017

    Ph.D. in Computer Engineering, University of Toronto

    Thesis: “Time­-Frequency Analysis of Alcohol Withdrawal Tremors”
    Supervisor: Prof. Parham Aarabi

  • 2012-2014

    MASc in Computer Engineering, University of Toronto

    Thesis: “Multi-Modal Heartbeat Estimation on an iPhone”
    Supervisor: Prof. Parham Aarabi

  • 2008-2012

    BSc in Computer Engineering, Sharif University of Technology

    Thesis: “Dress Mapping on Query’s Body from 4 Points of View Using 3D Computer Vision”

Selected Publications.

  • "RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums" M. Miroyan, C. Mitra, R. Jain, V. Kumud, G. Ranade, and N. Norouzi, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
  • "EIT: Earnest Insight Toolkit for Evaluating Students’ Earnestness in Interactive Lecture Participation Exercises M. Miroyan, S. Weng, R. Shah, L. Yan, and N. Norouzi, Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024.
  • "Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses" M. Hoq, J. Vandenberg, B. Mott, J. Lester, N. Norouzi, and B. Akram, Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2, 2024.
  • "Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums" C. Mitra, M. Miroyan, R. Jain, V. Kumud, G. Ranade, and N. Norouzi, Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2, 2024.
  • "Conversational Programming with LLM-Powered Interactive Support in an Introductory Computer Science Course" J. Zamfirescu-Pereira, L. Qi, B. Hartmann, J. DeNero, and N. Norouzi, NeurIPS’23 Workshop: Generative AI for Education (GAIED), 2024.
  • "Programmable Delivery of Fluoxetine via Wearable Bioelectronics for Wound Healing in Vivo H. Li, H.-y. Yang, N. Asefifeyzabadi, P. Baniya, K. Zlobina, H.-C. Hsieh, T. Nguyen, C. Hernandez, H. Carrion, M. Tebyani, H. Carrión, J. Selberg, L. Luo, M. Alhamo, A. Soulika, M. Levin, N. Norouzi, M. Gomez, M. Zhao, M. Teodorescu, R. R. Isseroff, and M. Rolandi, Advanced Materials Technology, 2023.
  • "FEDD-Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification" H. Carrión and N. Norouzi, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023.
Google Scholar

Teaching.

Contact.

norouzi [at] berkeley [dot] edu
  • 775, Soda Hall Building,
  • Berkeley, CA, 94709
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