Publications
2025

Students' study activities before and after exam deadlines as predictors of performance in STEM courses: A multi-source data analysis
Learning and Individual Differences
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01 Jan 2025
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doi:10.1016/j.lindif.2024.102598
2024
Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula
Scientific Data
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04 Oct 2024
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doi:10.1038/s41597-024-03931-8

The life cycle of large language models in education: A framework for understanding sources of bias
British Journal of Educational Technology
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12 Jul 2024
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doi:10.1111/bjet.13505

Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions
Proceedings of the Eleventh ACM Conference on Learning @ Scale
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09 Jul 2024
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doi:10.1145/3657604.3664675
Fairness Hub Technical Briefs: Mitigation Strategies of Distribution Shift
Learning Engineering Virtual Institute
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01 Jun 2024
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doi:10.35542/osf.io/pvbmt
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
Learning Engineering Virtual Institute
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24 May 2024
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arxiv:2405.14186

Temporal and Between-Group Variability in College Dropout Prediction
Proceedings of the 14th Learning Analytics and Knowledge Conference
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18 Mar 2024
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doi:10.1145/3636555.3636906

Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer
Proceedings of the 14th Learning Analytics and Knowledge Conference
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18 Mar 2024
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doi:10.1145/3636555.3636936
2023
Fairness Hub Technical Briefs: AUC Gap
Learning Engineering Virtual Institute
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27 Sep 2023
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arxiv:2309.12371
Fairness Hub Technical Briefs: Overview of Bias Mitigation Strategies
Learning Engineering Virtual Institute
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23 Sep 2023
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doi:10.35542/osf.io/jtb5n

Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums
Proceedings of the 16th International Conference on Educational Data Mining
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05 Jul 2023
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doi:10.5281/zenodo.8115691

What can digital trace data tell us about postsecondary students' academic success? An overview of the literature and an illustrative example
Jahrbuch der Schulentwicklung (Band 23)
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21 Jun 2023
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isbn:978-3-7799-7718-6

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
2023 ACM Conference on Fairness, Accountability, and Transparency
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12 Jun 2023
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doi:10.1145/3593013.3594107
2022

Salient syllabi: Examining design characteristics of science online courses in higher education
PLOS ONE
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03 Nov 2022
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doi:10.1371/journal.pone.0276839

Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior
Proceedings of the Ninth ACM Conference on Learning @ Scale
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01 Jun 2022
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doi:10.1145/3491140.3528285

Risk and Protective Factors of College Students’ Psychological Well-Being During the COVID-19 Pandemic: Emotional Stability, Mental Health, and Household Resources
AERA Open
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11 Mar 2022
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doi:10.1177/23328584211065725
2021

A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
Proceedings of the 1st Workshop on NLP for Positive Impact
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05 Aug 2021
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doi:10.18653/V1/2021.NLP4POSIMPACT-1.11

Should College Dropout Prediction Models Include Protected Attributes?
Proceedings of the Eighth ACM Conference on Learning @ Scale
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08 Jun 2021
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doi:10.1145/3430895.3460139

Construction of Weighted Course Co-Enrollment Network
Proceedings of the Workshop on Using Network Science in Learning Analytics: Building Bridges towards a Common Agenda
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12 Apr 2021
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[no id info]

How Universities Can Mind the Skills Gap (Higher Education and the Future of Work)
Center for the Governance of Change, IE University
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01 Apr 2021
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[no id info]
2020

Opening the black box: user-log analyses of children’s e-Book reading and associations with word knowledge
Reading and Writing
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18 Aug 2020
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doi:10.1007/s11145-020-10081-x

Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success
Proceedings of the Seventh ACM Conference on Learning @ Scale
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12 Aug 2020
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doi:10.1145/3386527.3406755

Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data
Proceedings of the 13th International Conference on Educational Data Mining
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10 Jul 2020
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[no id info]

LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses
Proceedings of the 21st International Conference on Artificial Intelligence in Education
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30 Jun 2020
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doi:10.1007/978-3-030-52237-7_27

The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes
International Journal of Educational Technology in Higher Education
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14 Apr 2020
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doi:10.1186/s41239-020-00187-1

Mining Big Data in Education: Affordances and Challenges
Review of Research in Education
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01 Mar 2020
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doi:10.3102/0091732X20903304
2019
Quasi-Experimental Evidence of a School Equalization Reform on Housing Prices in Beijing
Chinese Education & Society
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04 Jul 2019
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doi:10.1080/10611932.2019.1667681

Student Behavioral Embeddings and Their Relationship to Outcomes in A Collaborative Online Course
Proceedings of the Workshop on Learning Analytics: Building Bridges Between the Education and the Computing Communities
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02 Jul 2019
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[no id info]

Construction of Weighted Course Co-Enrollment Network
Proceedings of the Workshop on Connectivism: Using Learning Analytics to Operationalize A Research Agenda
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04 Mar 2019
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[no id info]

Utilizing Learning Analytics to Map Students' Self-Reported Study Strategies to Click Behaviors in STEM Courses
Proceedings of the 9th International Conference on Learning Analytics & Knowledge
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04 Mar 2019
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doi:10.1145/3303772.3303841
2018
Understanding Student Procrastination via Mixture Models
Proceedings of the 11th International Conference on Educational Data Mining
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16 Jul 2018
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[no id info]

Representing and predicting student navigational pathways in online college courses
Proceedings of the Fifth Annual ACM Conference on Learning at Scale
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26 Jun 2018
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doi:10.1145/3231644.3231702