Yang Song

31 papers A 1B 2C 9Journal 3Unranked 16
YearRankTypeTitle / Venue / Authors
2025 C conf
Navigating Paradox in AI Governance: An Agent-Based Simulation of AI Efficiency and Compliance Dynamics.
ICIS
Haruki Yamashita, Yao Shi, Judith Gebauer, Yang Song
2024 — conf
A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class.
ITiCSE (1)
Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer
2024 J jnl
BlueAI: Designing Artificial Intelligence for Environment Science and Climate Change Learning Experiences for K12 Students.
J. Comput. Sci. Coll.
Gülüstan Dogan, Elif Sahin, Catherine Fay Wilkinson, Amelia K. Moody, Yang Song
2024 — conf
How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics.
CSEE&T
Jialin Cui, Runqiu Zhang, Fangtong Zhou, Ruochi Li, Yang Song, Edward F. Gehringer
2024 — conf
How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study.
SIGCSE (1)
Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer
2024 — conf
Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams.
ITiCSE (1)
Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer
2023 — conf
An Application of Co-plot Analysis: A Multidimensional Scaling Data Visualization.
MLNLP
Priyanka Poosapati, Yao Shi, Judith Gebauer, Yang Song
2023 — conf
Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study.
ITiCSE (1)
Jialin Cui, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer
2023 — conf
Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML.
MLNLP
Kylie Griep, Leah Stone, Stephen Edwards, Malik Hill, Jialin Cui, Chengyuan Liu, Qinjin Jia, Yang Song
2022 — conf
Modeling review helpfulness with augmented transformer neural networks.
ICSC
Yunkai Xiao, Tianle Wang, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F. Gehringer
2021 C conf
PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car.
FIE
Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song
2020 B conf
Detecting Problem Statements in Peer Assessments.
EDM
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer
2020 J jnl
Detecting Problem Statements in Peer Assessments.
CoRR
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer
2020 B conf
EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage.
EDM
Mark Klose, Vasvi Desai, Yang Song, Edward F. Gehringer
2020 — conf
Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions.
ACM Southeast Regional Conference
Yang Song, Yunkai Xiao, Jonathan Stephens, Emma Ruesch, Sean Roginski, Lucas Layman
2020 — conf
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis.
ACM Southeast Regional Conference
Lucas Layman, Yang Song, Curry I. Guinn
2020 J jnl
Toward Predicting Success and Failure in CS2: A Mixed-Method Analysis.
CoRR
Lucas Layman, Yang Song, Curry I. Guinn
2019 C conf
A Test-Driven Approach to Improving Student Contributions to Open-Source Projects.
FIE
Zhewei Hu, Yang Song, Edward F. Gehringer
2018 A conf
Early Detection on Students' Failing Open-Source based Course Projects using Machine Learning Approaches: (Abstract Only).
SIGCSE
Yifan Guo, Yang Song, Edward F. Gehringer
2018 — conf
Open-source software in class: students' common mistakes.
ICSE (SEET)
Zhewei Hu, Yang Song, Edward F. Gehringer
2017 C conf
Collusion in educational peer assessment: How much do we need to worry about it?
FIE
Yang Song, Zhewei Hu, Edward F. Gehringer
2016 C conf
A markup language for building a data warehouse for educational peer-assessment research.
FIE
Yang Song, Ferry Pramudianto, Edward F. Gehringer
2016 C conf
A quantitative case study on students' strategy for using authorized cheat-sheets.
FIE
Yang Song, Yifan Guo, David Thuente
2016 C conf
An experiment with separate formative and summative rubrics in educational peer assessment.
FIE
Yang Song, Zhewei Hu, Yifan Guo, Edward F. Gehringer
2016 C conf
Five years of extra credit in a studio-based course: An effort to incentivize socially useful behavior.
FIE
Edward F. Gehringer, Zhewei Hu, Yang Song
2016 — conf
Peer Review Data Warehouse: Insights From Different Systems.
EDM (Workshops)
Ferry Pramudianto, Maryam Aljeshi, Hisham Alhussein, Yang Song, Edward F. Gehringer, Dmytro Babik, David Tinapple
2016 — conf
The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment.
EDM (Workshops)
Zhewei Hu, Yang Song, Edward F. Gehringer
2016 — conf
Toward Better Training in Peer Assessment: Does Calibration Help?
EDM (Workshops)
Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb
2016 — conf
Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes.
EDM (Workshops)
Yang Song, Zhewei Hu, Edward F. Gehringer
2015 — conf
Closing the Circle: Use of Students' Responses for Peer-Assessment Rubric Improvement.
ICWL
Yang Song, Zhewei Hu, Edward F. Gehringer
2015 C conf
Pluggable reputation systems for peer review: A web-service approach.
FIE
Yang Song, Zhewei Hu, Edward F. Gehringer