Renzhe Yu

Renzhe Yu

University of California, Irvine

H-index: 11

North America-United States

About Renzhe Yu

Renzhe Yu, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Educational Data Science, Educational Data Mining, Learning Analytics, Computational Social Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

A national longitudinal dataset of skills taught in US higher education curricula

Temporal and Between-Group Variability in College Dropout Prediction

Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer

Fairness Hub Technical Briefs: AUC Gap

Fairness Hub Technical Briefs: Overview of Bias Mitigation Strategies

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

What can Digital Trace Data Tell Us about Post-secondary Students’ Academic Success?

Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums

Renzhe Yu Information

University

Position

___

Citations(all)

736

Citations(since 2020)

731

Cited By

104

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Renzhe Yu Skills & Research Interests

Educational Data Science

Educational Data Mining

Learning Analytics

Computational Social Science

Top articles of Renzhe Yu

A national longitudinal dataset of skills taught in US higher education curricula

arXiv preprint arXiv:2404.13163

2024/4/19

Temporal and Between-Group Variability in College Dropout Prediction

2024/3/18

Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer

2024/3/18

Fairness Hub Technical Briefs: AUC Gap

arXiv preprint arXiv:2309.12371

2023/9/20

Fairness Hub Technical Briefs: Overview of Bias Mitigation Strategies

2023/9

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

2023/6/12

What can Digital Trace Data Tell Us about Post-secondary Students’ Academic Success?

2023

Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums

International Educational Data Mining Society

2023

Salient syllabi: Examining design characteristics of science online courses in higher education

PloS one

2022/11/3

Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior

2022

Renzhe Yu
Renzhe Yu

H-Index: 6

Risk and protective factors of college students’ psychological well-being during the COVID-19 pandemic: emotional stability, mental health, and household resources

Aera Open

2022/3

Is Big Data Better? LMS Data and Predictive Analytic Performance in Postsecondary Education

EdWorking Paper

2022

Renzhe Yu
Renzhe Yu

H-Index: 6

Equity-Oriented Educational Data Science

2022

Renzhe Yu
Renzhe Yu

H-Index: 6

FATED 2022: Fairness, accountability, and transparency in educational data

Proceedings of the 15th international conference on educational data mining

2022

Should College Dropout Prediction Models Include Protected Attributes?

2021/6/8

Renzhe Yu
Renzhe Yu

H-Index: 6

Hansol Lee
Hansol Lee

H-Index: 6

Construction of Weighted Course Co-Enrollment Network

2021/4/12

Renzhe Yu
Renzhe Yu

H-Index: 6

Opening the black box: user-log analyses of children’s e-Book reading and associations with word knowledge

Reading and Writing

2021/3

Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment

arXiv preprint arXiv:2103.00163

2021/2/27

Renzhe Yu
Renzhe Yu

H-Index: 6

John Scott
John Scott

H-Index: 8

A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques

2021/8

Renzhe Yu
Renzhe Yu

H-Index: 6

The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

2020/12

See List of Professors in Renzhe Yu University(University of California, Irvine)

Co-Authors

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