Renzhe Yu

43 papers A 6B 10Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI-exposed jobs deteriorated before ChatGPT.
CoRR
Morgan R. Frank, Alireza Javadian Sabet, Lisa Simon, Sarah H. Bana, Renzhe Yu
2026 A conf
Enhancing LLM-Based Data Annotation with Error Decomposition.
LAK
Zhen Xu, Vedant Khatri, Yijun Dai, Xiner Liu, Siyan Li, Xuanming Zhang, Renzhe Yu
2026 J jnl
Enhancing LLM-Based Data Annotation with Error Decomposition.
CoRR
Zhen Xu, Vedant Khatri, Yijun Dai, Xiner Liu, Siyan Li, Xuanming Zhang, Renzhe Yu
2026 J jnl
Evaluating 21st-Century Competencies in Postsecondary Curricula with Large Language Models: Performance Benchmarking and Reasoning-Based Prompting Strategies.
CoRR
Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe Yu
2026 J jnl
Evaluating 21st-Century Competencies in Postsecondary Curricula with Large Language Models: Performance Benchmarking and Reasoning-Based Prompting Strategies.
J. Learn. Anal.
Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe Yu
2026 J jnl
Tracing need for cognition in digital learning.
Comput. Hum. Behav.
Aki Schumacher, Luise von Keyserlingk, Hannah Deininger, Renzhe Yu, Nia Nixon, Lisa Bardach
2025 — conf
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants' Question-Answering in Asynchronous Learning Environments.
EMNLP (Findings)
Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu
2025 J jnl
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants' Question-Answering in Asynchronous Learning Environments.
CoRR
Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu
2025 — conf
Evaluating an AI Tutor for Bias Across Different Foundation Models.
AIED (6)
Aditya Vinodh, Emma Harvey, Husni Almoubayyed, Renzhe Yu, Christopher Brooks, Allison Koenecke, René F. Kizilcec
2025 J jnl
From Course to Skill: Evaluating LLM Performance in Curricular Analytics.
CoRR
Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya, Renzhe Yu
2025 — conf
From Course to Skill: Evaluating Large Language Model Performance in Curricular Analytics.
AIED (6)
Zhen Xu, Xinjin Li, Yingqi Huan, Veronica Minaya, Renzhe Yu
2025 A conf
Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach.
INTERSPEECH
Xi Chen, Renzhe Yu, Yanshen Tan, Yiyi Li, Quan Qian, Ying Lin
2025 A conf
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges.
LAK
Chengyuan Yao, Carmen Cortez, Renzhe Yu
2025 J jnl
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges.
CoRR
Chengyuan Yao, Carmen Cortez, Renzhe Yu
2025 B conf
Understanding Predictive Models of Student Success with a Multiverse Analysis.
EDM
Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, René F. Kizilcec, Christopher Brooks
2025 J jnl
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts.
CoRR
Chengyuan Yao, Yunxuan Tang, Christopher Brooks, René F. Kizilcec, Renzhe Yu
2024 J jnl
A national longitudinal dataset of skills taught in U.S. higher education curricula.
CoRR
Alireza Javadian Sabet, Sarah H. Bana, Renzhe Yu, Morgan R. Frank
2024 A conf
Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer.
LAK
Zhen Xu, Joseph Olson, Nicole Pochinki, Zhijian Zheng, Renzhe Yu
2024 J jnl
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift.
CoRR
Nicolás Acevedo, Carmen Cortez, Christopher Brooks, René F. Kizilcec, Renzhe Yu
2024 B conf
Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions.
L@S
Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy
2024 A conf
Temporal and Between-Group Variability in College Dropout Prediction.
LAK
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer
2024 J jnl
Temporal and Between-Group Variability in College Dropout Prediction.
CoRR
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer
2024 J jnl
The Life Cycle of Large Language Models: A Review of Biases in Education.
CoRR
Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
2024 J jnl
The life cycle of large language models in education: A framework for understanding sources of bias.
Br. J. Educ. Technol.
Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
2024 J jnl
Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models.
CoRR
Renzhe Yu, Zhen Xu, Sky CH-Wang, Richard Arum
2023 — conf
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
FAccT
Joshua Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
2023 J jnl
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.
CoRR
Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
2023 J jnl
Fairness Hub Technical Briefs: AUC Gap.
CoRR
Jinsook Lee, Christopher Brooks, Renzhe Yu, René F. Kizilcec
2023 B conf
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums.
EDM
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
2022 J jnl
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning.
CoRR
Jia Cui, Yonghui Jin, Renzhe Yu, Martin Onyeka Okoye, Yang Li, Junyou Yang, Shunjiang Wang
2022 B conf
FATED 2022: Fairness, Accountability, and Transparency in Educational Data.
EDM
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
2022 B conf
Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior.
L@S
Sunil Sabnis, Renzhe Yu, René F. Kizilcec
2022 — conf
Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains.
AIED (2)
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline Guadalupe Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
2021 B conf
Should College Dropout Prediction Models Include Protected Attributes?
L@S
Renzhe Yu, Hansol Lee, René F. Kizilcec
2021 J jnl
Should College Dropout Prediction Models Include Protected Attributes?
CoRR
Renzhe Yu, Hansol Lee, René F. Kizilcec
2021 J jnl
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment.
CoRR
Renzhe Yu, John Scott, Zachary A. Pardos
2020 B conf
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success.
L@S
Catherine Kung, Renzhe Yu
2020 — conf
LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses.
AIED (1)
Yiwen Lin, Renzhe Yu, Nia Dowell
2020 B conf
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data.
EDM
Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu
2019 — conf
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course.
EDM (Workshops)
Renzhe Yu, Zachary A. Pardos, John Scott
2019 A conf
Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses.
LAK
Fernando Rodriguez, Renzhe Yu, Jihyun Park, Mariela Janet Rivas, Mark Warschauer, Brian K. Sato
2018 B conf
Representing and predicting student navigational pathways in online college courses.
L@S
Renzhe Yu, Daokun Jiang, Mark Warschauer
2018 B conf
Understanding Student Procrastination via Mixture Models.
EDM
Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel B. Baker, Padhraic Smyth, Mark Warschauer