Narges Norouzi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer. | Joaqun Jordn, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi |
| 2026 | AAAI | EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants. | Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi |
| 2026 | AAAI | Model AI Assignments 2026. | Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar |
| 2026 | AAAI | LeanTutor: Towards a Verified AI Mathematical Proof Tutor. | Manooshree Patel, Rayna Bhattacharyya, Thomas Lu, Arnav Mehta, Niels Voss, Narges Norouzi, Gireeja Ranade |
| 2026 | AIED | An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration. | Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram |
| 2026 | AIED | The Edit is the Evaluation: What TA Revisions Reveal About AI Lecture Assistants. | Meenakshi Mittal, Christopher Mach, Kaden Tang, Narges Norouzi |
| 2026 | AIED | The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness. | Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, Narges Norouzi |
| 2026 | SIGCSE | It Seemed Like a Good Idea at the Time ('No, Not Like That!' edition). | Dan Garcia, James K. Huggins, Brian Law, Narges Norouzi, Jaimin Patel, Michael Shindler |
| 2026 | SIGCSE | Developing and Sustaining Summer Bridge Programs. | Oindree Chatterjee, Carolyn Wang, Alvaro Monge, Colleen M. Lewis, Narges Norouzi |
| 2026 | SIGCSE | A Verification-First, Self-Healing Framework for LLM-Enabled Generation of CS1 Exercises. | Aneesh Durai, Anirudh Chaudhary, Naveen Nathan, Gireeja Ranade, Narges Norouzi |
| 2026 | SIGCSE | Improving Online Learning: Using Utterance Distribution to Improve Student-Facing Assistants in Discussion Forums. | Wolfgang Edholm, Justin Park, Mihran Miroyan, Chancharik Mitra, Narges Norouzi |
| 2026 | SIGCSE | INSIGHT: An Explainable, Instructor-Guided AI Assistant for Active Learning in CS1. | Muntasir Hoq, Jessica Vandenberg, Seung Y. Lee, Bradford W. Mott, James C. Lester, Narges Norouzi, Shuyin Jiao, Bita Akram |
| 2026 | SIGCSE | Edison 3.0: A Multimodal RAG System for Large-Scale Educational Q&A with Human-in-the-Loop Oversight. | Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi |
| 2026 | SIGCSE | Instructors' Perspectives on LLM-Generated Programming Formative Feedback. | Rose Niousha, Samantha Boatright Smith, Abigail O'Neill, J. D. Zamfirescu-Pereira, John DeNero, Narges Norouzi |
| 2026 | SIGCSE | Misconception-Aware LLM Programming Tutor: Lessons Learned from Student-Tutor Interactions. | Rose Niousha, Samantha Boatright Smith, Abigail O'Neill, J. D. Zamfirescu-Pereira, John DeNero, Narges Norouzi |
| 2026 | SIGCSE | Knowledge Component-Driven Alignment of CS1 Textbooks and Exercises. | Samantha Boatright Smith, Arun Balajiee Lekshmi Narayanan, Anurata Prabha Hridi, Rafaella Sampaio de Alencar, Bita Akram, Arto Hellas, Juho Leinonen, Peter Brusilovsky, Narges Norouzi |
| 2025 | AAAI | Comparing Artificial Intelligence Curricula in Canadian and US Universities. | Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang |
| 2025 | AIED | Modeling Student Knowledge Progression Across Concepts in Intelligent Tutoring Interactions. | Kanav Mittal, Abigail O'Neill, Hanna Schlegel, Gireeja Ranade, Narges Norouzi |
| 2025 | AIED | Askademia: A Real-Time AI System for Automatic Responses to Student Questions. | Meenakshi Mittal, Gaurav Tyagi, Azalea Bailey, Gireeja Ranade, Narges Norouzi |
| 2025 | CVPR | Your ViT is Secretly an Image Segmentation Model. | Tommie Kerssies, Niccol Cavagnero, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus |
| 2025 | EDM | Explainable AI in the Loop: An Instructor-Transformer Collaboration for Improving Explainability and Reliability of Feedback in Introductory Programming Classrooms. | Muntasir Hoq, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Narges Norouzi, James C. Lester, Bita Akram |
| 2025 | EDM | Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. | Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram |
| 2025 | SIGCSE | Untitled record | Connor Robert Bernard, Melissa Fabros, Zhifei Li, Narges Norouzi, Daniel D. Garcia, Armando Fox |
| 2025 | SIGCSE | Dynamic, Randomizable, Autogradable Visual Programming Simulations for Python Using Prairielearn. | Noemi Chulo, Gabriel Classon, Ashley Chiu, Dan Garcia, Armando Fox, Narges Norouzi |
| 2025 | SIGCSE | An Interactive Tool for Randomized Autogradable Graph Assessments. | Eldar Hasanov, Dev Ahluwalia, Dan Garcia, Narges Norouzi, Armando Fox |
| 2025 | SIGCSE | Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions. | Mihran Miroyan, Chancharik Mitra, Rishi Jain, Gireeja Ranade, Narges Norouzi |
| 2025 | SIGCSE | Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. | Meenakshi Mittal, Azalea Bailey, Victoria Phelps, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi |
| 2025 | SIGCSE | LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. | Rose Niousha, Abigail O'Neill, Ethan Chen, Vedansh Malhotra, Bita Akram, Narges Norouzi |
| 2025 | SIGCSE | Launching and Enhancing Summer Bridge Programs. | Abby O'Neill, Stella Kaval, Mallika Reddy, Alvaro Monge, Colleen M. Lewis, Narges Norouzi |
| 2025 | SIGCSE | From Code to Concepts: Textbook-Driven Knowledge Tracing with LLMs in CS1. | Abby O'Neill, Samantha Boatright Smith, Aneesh Durai, John DeNero, J. D. Zamfirescu-Pereira, Narges Norouzi |
| 2025 | SIGCSE | Spotting AI Missteps: Students Take on LLM Errors in CS1. | Samantha Boatright Smith, Heather Wei, Abby O'Neill, Aneesh Durai, John DeNero, J. D. Zamfirescu-Pereira, Narges Norouzi |
| 2025 | SIGCSE | 61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?). | J. D. Zamfirescu-Pereira, Laryn Qi, Bjrn Hartmann, John DeNero, Narges Norouzi |
| 2024 | AAAI | RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. | Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi |
| 2024 | CVPR | ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. | Narges Norouzi, Svetlana Orlova, Daan de Geus, Gijs Dubbelman |
| 2024 | FIE | WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms. | Dana Benedicto, Jordan Schwartz, Narges Norouzi, Lisa Yan |
| 2024 | FIE | A Quantitative Analysis of a Summer Bridge Program's Impact on Students' Non-Academic Indicators. | Shreya Gupta, Chetan Goenka, Narges Norouzi |
| 2024 | FIE | WIP: Boosting CS Freshmen: The Impact of Summer Bridge Programs on Academic Success and Attitudes. | Shreya Gupta, Narges Norouzi |
| 2024 | FIE | WIP: Examining the Impact of a Flexible Extension Policy on Student Learning Experience in a Large-Scale Computing Course. | Charisse Liu, Yuerou Tang, Narges Norouzi, Lisa Yan |
| 2024 | FIE | Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States. | Rose Niousha, Dev Ahluwalia, Michael Wu, Lisa Zhang, Narges Norouzi |
| 2024 | ITiCSE | How Instructors Incorporate Generative AI into Teaching Computing. | James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromr Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro |
| 2024 | ITiCSE | Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. | James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromr Savelka, David H. Smith, Sven Strickroth, Daniel Zingaro |
| 2024 | SIGCSE | AI in Computing Education from Research to Practice. | Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang |
| 2024 | SIGCSE | Data Science Mastery Learning Using Parsons Problems-Inspired Table Transformations. | Jacob Seungwon Choe, Matthew G. Lee, Siddharth A. Marathe, Armando Fox, Dan Garcia, Narges Norouzi |
| 2024 | SIGCSE | Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. | Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram |
| 2024 | SIGCSE | EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises. | Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi |
| 2024 | SIGCSE | Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums. | Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi |
| 2024 | SIGCSE | Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. | Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi |
| 2024 | SIGCSE | Automated Support for Flexible Extensions. | Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi |
| 2024 | SIGCSE | Supporting Mastery Learning with Flexible Extensions. | Yuerou Tang, Jacob Yim, Jordan Schwartz, Madison Bohannan, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi |
| 2023 | AAAI | Model AI Assignments 2023. | Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott |
| 2023 | AAAI | Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. | Narges Norouzi, Amir Mazaheri |
| 2023 | ITiCSE | An Equity-minded Multi-dimensional Framework for Exploring the Dynamics of Sense of Belonging in an Introductory CS Course. | Narges Norouzi, Hamidreza Habibi, Carmen Robinson, Anna Sher |
| 2023 | MICCAI | FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification. | Hctor Carrin, Narges Norouzi |
| 2023 | SIGCSE | Evaluation of the Impact of Modality for Equity Program. | Narges Norouzi, Carmen Robinson |
| 2022 | ICPR | Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. | Michael Briden, Narges Norouzi |
| 2022 | MICCAI | HealNet - Self-supervised Acute Wound Heal-Stage Classification. | Hctor Carrin, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi |
| 2021 | FIE | Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation. | Narges Norouzi, Carmen Robinson, Rebecca Covarrubias, Ruby Hernandez, Danay Weldegabriel, Gwynn Benner, Wenjuan Sang, Rafael Espericueta |
| 2020 | AAAI | Model AI Assignments 2020. | Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hnig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett |
| 2020 | AAAI | Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. | Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge |
| 2019 | INISTA | PokerBot: Hand Strength Reinforcement Learning. | Angela Ramirez, Solomon Reinman, Narges Norouzi |
| 2018 | FIE | Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System. | Narges Norouzi, Ryan Hausen |
| 2016 | FIE | 7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students. | Parham Aarabi, Narges Norouzi, Jack Wu, Michael Spears |