Narges Norouzi

Orcid: 0000-0001-9861-7540

According to our database1, Narges Norouzi authored at least 74 papers between 2013 and 2025.

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Bibliography

2025
ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle.
CoRR, July, 2025

MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer.
CoRR, June, 2025

LeanTutor: A Formally-Verified AI Tutor for Mathematical Proofs.
CoRR, June, 2025

Search Arena: Analyzing Search-Augmented LLMs.
CoRR, June, 2025

2025 SIGCSE Technical Symposium Report.
ACM SIGCSE Bull., April, 2025

Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms.
CoRR, April, 2025

61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?).
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

Spotting AI Missteps: Students Take on LLM Errors in CS1.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

From Code to Concepts: Textbook-Driven Knowledge Tracing with LLMs in CS1.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Launching and Enhancing Summer Bridge Programs.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Raising the Bar: Automating Consistent and Equitable Student Support with LLMs.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

An Interactive Tool for Randomized Autogradable Graph Assessments.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Dynamic, Randomizable, Autogradable Visual Programming Simulations for Python Using Prairielearn.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

<i>Checkpoint: </i> A Tool for Supporting Terminal-Based Capture-the-Flag Assessments.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions.
Proceedings of the 18th International Conference on Educational Data Mining, 2025

Your ViT is Secretly an Image Segmentation Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Askademia: A Real-Time AI System for Automatic Responses to Student Questions.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Modeling Student Knowledge Progression Across Concepts in Intelligent Tutoring Interactions.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Comparing Artificial Intelligence Curricula in Canadian and US Universities.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.
CoRR, 2024

A Knowledge-Component-Based Methodology for Evaluating AI Assistants.
CoRR, 2024

61A-Bot: AI homework assistance in CS1 is fast and cheap - but is it helpful?
CoRR, 2024

Supporting Mastery Learning with Flexible Extensions.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Automated Support for Flexible Extensions.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Data Science Mastery Learning Using Parsons Problems-Inspired Table Transformations.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

AI in Computing Education from Research to Practice.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.
Proceedings of the 2024 Working Group Reports on Innovation and Technology in Computer Science Education, 2024

How Instructors Incorporate Generative AI into Teaching Computing.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States.
Proceedings of the IEEE Frontiers in Education Conference, 2024

WIP: Examining the Impact of a Flexible Extension Policy on Student Learning Experience in a Large-Scale Computing Course.
Proceedings of the IEEE Frontiers in Education Conference, 2024

WIP: Boosting CS Freshmen: The Impact of Summer Bridge Programs on Academic Success and Attitudes.
Proceedings of the IEEE Frontiers in Education Conference, 2024

A Quantitative Analysis of a Summer Bridge Program's Impact on Students' Non-Academic Indicators.
Proceedings of the IEEE Frontiers in Education Conference, 2024

WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms.
Proceedings of the IEEE Frontiers in Education Conference, 2024

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis.
Biol. Cybern., October, 2023

Developing a Tool to Automate Extensions to Support a Flexible Extension Policy.
CoRR, 2023

Evaluation of the Impact of Modality for Equity Program.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Equity-minded Multi-dimensional Framework for Exploring the Dynamics of Sense of Belonging in an Introductory CS Course.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


2022
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies.
CoRR, 2022

HealNet - Self-supervised Acute Wound Heal-Stage Classification.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Fine-grained Cross-Layer Attention Framework for Wound Stage Classification.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images.
CoRR, 2021

Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation.
Proceedings of the IEEE Frontiers in Education Conference, 2021

An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

EEG Data Analysis for Intellectual Developmental Disorder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Successful Interventions to Eliminate Achievement Gaps in STEM Courses.
Proceedings of the Research on Equity and Sustained Participation in Engineering, 2020

Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


2019
PokerBot: Hand Strength Reinforcement Learning.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Sequential Image Synthesis for Human Activity Video Generation.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Video Manipulation Detection via Recurrent Residual Feature Learning Networks.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

KB-NLG: From Knowledge Base to Natural Language Generation.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018
Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption.
Optim. Lett., 2017

Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals.
Biomed. Signal Process. Control., 2017

2016
Empirical mode decomposition analysis of alcohol withdrawal tremor signals.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2015
A quantitative evaluation of alcohol withdrawal tremors.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Time-frequency visualization of alcohol withdrawal tremors.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Multi-channel heart-beat detection.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013


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