Renzhe Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Predictive Model

Higher Education

Discussion Forums

Top Venues

Publications

Zhen Xu, Joseph Olson, Nicole Pochinki, Zhijian Zheng, Renzhe Yu
Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer. LAK (2024)
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer
Temporal and Between-Group Variability in College Dropout Prediction. CoRR (2024)
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer
Temporal and Between-Group Variability in College Dropout Prediction. LAK (2024)
Nicolás Acevedo, Carmen Cortez, Chris Brooks, René F. Kizilcec, Renzhe Yu
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift. CoRR (2024)
Alireza Javadian Sabet, Sarah H. Bana, Renzhe Yu, Morgan R. Frank
A national longitudinal dataset of skills taught in U.S. higher education curricula. CoRR (2024)
Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy
Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions. L@S (2024)
Jinsook Lee, Yann Hicke, Renzhe Yu, Christopher Brooks, René F. Kizilcec
The Life Cycle of Large Language Models: A Review of Biases in Education. CoRR (2024)
Jinsook Lee, Chris Brooks, Renzhe Yu, René F. Kizilcec
Fairness Hub Technical Briefs: AUC Gap. CoRR (2023)
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums. EDM (2023)
Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. CoRR (2023)
Joshua Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. FAccT (2023)
Sunil Sabnis, Renzhe Yu, René F. Kizilcec
Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior. L@S (2022)
Jia Cui, Yonghui Jin, Renzhe Yu, Martin Onyeka Okoye, Yang Li, Junyou Yang, Shunjiang Wang
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning. CoRR (2022)
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline Guadalupe Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains. AIED (2) (2022)
Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu
FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM (2022)
Renzhe Yu, Hansol Lee, René F. Kizilcec
Should College Dropout Prediction Models Include Protected Attributes? L@S (2021)
Renzhe Yu, John Scott, Zachary A. Pardos
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment. CoRR (2021)
Renzhe Yu, Hansol Lee, René F. Kizilcec
Should College Dropout Prediction Models Include Protected Attributes? CoRR (2021)
Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. EDM (2020)
Yiwen Lin, Renzhe Yu, Nia Dowell
LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses. AIED (1) (2020)
Catherine Kung, Renzhe Yu
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. L@S (2020)
Fernando Rodriguez, Renzhe Yu, Jihyun Park, Mariela Janet Rivas, Mark Warschauer, Brian K. Sato
Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses. LAK (2019)
Renzhe Yu, Zachary A. Pardos, John Scott
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course. EDM (Workshops) (2019)
Renzhe Yu, Daokun Jiang, Mark Warschauer
Representing and predicting student navigational pathways in online college courses. L@S (2018)
Jihyun Park, Renzhe Yu, Fernando Rodriguez, Rachel Baker, Padhraic Smyth, Mark Warschauer
Understanding Student Procrastination via Mixture Models. EDM (2018)