Yang Shi

41 papers A* 2A 2B 10Journal 8Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System.
CoRR
Sutapa Dey Tithi, Nazia Alam, Tahreem Yasir, Yang Shi, Xiaoyi Tian, Min Chi, Tiffany Barnes
2026 — conf
CodeFlow: LLM-Generated Flowchart Feedback for Programming Students.
SIGCSE (2)
Kehao Zheng, Yang Shi
2026 — conf
Examining Students' Code Comprehension with LLMs in Block- and Text-Based Programming.
SIGCSE (2)
Shan Zhang, Toni V. Earle-Randell, Priyadharshini Ganapathy Prasad, Zifeng Liu, Yang Shi, Suma Bhat, Maya Israel, Anthony F. Botelho
2026 — conf
Investigating High School Students' Code Comprehension and Strategy Use Across Block-Based and Text-Based Programming.
SIGCSE (2)
Shan Zhang, Priyadharshini Ganapathy Prasad, Toni V. Earle-Randell, Yang Shi, Suma Bhat, Maya Israel
2026 A* conf
When AI Gets It Wrong: Scaffolding AI Hallucination Detection for Children Through Chatbot Creation.
CHI
Xiaoyi Tian, Deniz Ozturk, Sreekar Edula, Jibran Adil, Qiao Jin, Yang Shi, Tiffany Barnes
2025 B conf
9th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Bita Akram, Yang Shi, Peter Brusilovsky, Thomas W. Price, Ken Koedinger, Paulo Carvalho, Shan Zhang, Andrew S. Lan, Juho Leinonen
2025 A conf
Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling.
UMAP
Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi, Peter Brusilovsky
2025 B conf
srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML.
EDM
Maciej Pankiewicz, Yang Shi, Ryan S. Baker
2024 B conf
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan
2024 — conf
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset.
CSEDM@EDM
Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan
2024 J jnl
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset.
CoRR
Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan
2024 — conf
Are Engineering Students Motivated by Interacting With Simulations They Program? A Controlled Study.
SIGCSE Virtual (1)
John Bacher, Thomas W. Price, James Skripchuk, Wengran Wang, Yang Shi, Keith Tran
2024 — conf
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models.
SIGCSE (1)
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram
2024 — conf
Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models.
SIGCSE (2)
Aysa X. Fan, Rully Agus Hendrawan, Yang Shi, Qianou Ma
2024 B conf
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming.
EDM
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2024 — conf
Novices' Perceptions of Web-Search and AI for Programming.
SIGCSE (2)
James Skripchuk, John Bacher, Yang Shi, Keith Tran, Thomas W. Price
2024 — conf
Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective.
ICER (1)
Keith Tran, John Bacher, Yang Shi, James Skripchuk, Thomas W. Price
2024 — ed.
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024.
CSEDM@EDM
Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan
2024 A* conf
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming.
AAAI
Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu
2023 — conf
Detecting ChatGPT-Generated Code in a CS1 Course.
LLM@AIED
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram
2023 — conf
Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners.
SIGCSE (2)
Francisco Castro, Sangho Suh, Jane L. E, Weena Naowaprateep, Yang Shi
2023 — conf
Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience.
ICER (1)
Wengran Wang, John Bacher, Amy Isvik, Ally Limke, Sandeep Sthapit, Yang Shi, Benyamin T. Tabarsi, Keith Tran, Veronica Cateté, Tiffany Barnes, Chris Martens, Thomas W. Price
2023 B conf
KC-Finder: Automated Knowledge Component Discovery for Programming Problems.
EDM
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
2023 J jnl
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming.
CoRR
Zhengdong Zhang, Zihan Dong, Yang Shi, Noboru Matsuda, Thomas W. Price, Dongkuan Xu
2022 B conf
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
EDM
Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao
2022 B conf
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.
EDM
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2022 J jnl
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks.
CoRR
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2022 — conf
Identifying Common Errors in Open-Ended Machine Learning Projects.
SIGCSE (1)
James Skripchuk, Yang Shi, Thomas W. Price
2021 — conf
Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress).
EDM (Workshops)
Poorvaja Penmetsa, Yang Shi, Thomas W. Price
2021 B conf
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.
EDM
Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price
2021 B conf
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks.
EDM
Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
2021 B conf
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code.
EDM
Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price
2021 A conf
Toward Semi-Automatic Misconception Discovery Using Code Embeddings.
LAK
Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
2021 J jnl
Toward Semi-Automatic Misconception Discovery Using Code Embeddings.
CoRR
Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa, Thomas W. Price
2020 — conf
Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors.
CSEDM@EDM
Wengran Wang, Yudong Rao, Yang Shi, Alexandra Milliken, Chris Martens, Tiffany Barnes, Thomas W. Price
2020 — ed.
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020.
CSEDM@EDM
Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi
2019 — conf
Energy audition based cyber-physical attack detection system in IoT.
ACM TUR-C
Yang Shi, Fangyu Li, Wen-Zhan Song, Xiangyang Li, Jin Ye
2019 J jnl
Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing.
IEEE Internet Things J.
Fangyu Li, Yang Shi, Aditya Shinde, Jin Ye, Wen-Zhan Song
2019 J jnl
System Statistics Learning-Based IoT Security: Feasibility and Suitability.
IEEE Internet Things J.
Fangyu Li, Aditya Shinde, Yang Shi, Jin Ye, Xiang-Yang Li, Wen-Zhan Song
2018 — conf
Dynamic Time-frequency Feature Extraction for Brain Activity Recognition.
EMBC
Yang Shi, Fangyu Li, Tianming Liu, Fred R. Beyette, Wen-Zhan Song
2018 J jnl
PoTrojan: powerful neural-level trojan designs in deep learning models.
CoRR
Minhui Zou, Yang Shi, Chengliang Wang, Fangyu Li, Wen-Zhan Song, Yu Wang