Publications
2025
From Course to Skill: Evaluating Large Language Model Performance in Curricular Analytics
Proceedings of the 26th International Conference on Artificial Intelligence in Education
·
20 Jul 2025
·
doi:10.1007/978-3-031-98465-5_26
Evaluating an AI Tutor for Bias Across Different Foundation Models
Proceedings of the 26th International Conference on Artificial Intelligence in Education
·
20 Jul 2025
·
doi:10.1007/978-3-031-98465-5_43
Investigating Systematic Variation in Academic Procrastination Behavior by Course, Assignment, and Student Characteristics
Proceedings of the Twelfth ACM Conference on Learning @ Scale
·
17 Jul 2025
·
doi:10.1145/3698205.3729552
Understanding Predictive Models of Student Success with a Multiverse Analysis
Proceedings of the 18th International Conference on Educational Data Mining
·
12 Jul 2025
·
doi:10.5281/ZENODO.15870276
Is Big Data Better? LMS Data and Prediction Accuracy in Postsecondary Education
Journal of Research on Educational Effectiveness
·
15 Apr 2025
·
doi:10.1080/19345747.2024.2308306
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges
Proceedings of the 15th International Learning Analytics and Knowledge Conference
·
03 Mar 2025
·
doi:10.1145/3706468.3706567
Students' study activities before and after exam deadlines as predictors of performance in STEM courses: A multi-source data analysis
Learning and Individual Differences
·
01 Jan 2025
·
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
·
04 Oct 2024
·
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
·
12 Jul 2024
·
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
·
09 Jul 2024
·
doi:10.1145/3657604.3664675
Fairness Hub Technical Briefs: Mitigation Strategies of Distribution Shift
Learning Engineering Virtual Institute
·
01 Jun 2024
·
doi:10.35542/osf.io/pvbmt
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
Learning Engineering Virtual Institute
·
24 May 2024
·
arxiv:2405.14186
Temporal and Between-Group Variability in College Dropout Prediction
Proceedings of the 14th Learning Analytics and Knowledge Conference
·
18 Mar 2024
·
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
·
18 Mar 2024
·
doi:10.1145/3636555.3636936
2023
Fairness Hub Technical Briefs: AUC Gap
Learning Engineering Virtual Institute
·
27 Sep 2023
·
arxiv:2309.12371
Fairness Hub Technical Briefs: Overview of Bias Mitigation Strategies
Learning Engineering Virtual Institute
·
23 Sep 2023
·
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
·
05 Jul 2023
·
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)
·
21 Jun 2023
·
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
·
12 Jun 2023
·
doi:10.1145/3593013.3594107
2022
Salient syllabi: Examining design characteristics of science online courses in higher education
PLOS ONE
·
03 Nov 2022
·
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
·
01 Jun 2022
·
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
·
11 Mar 2022
·
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
·
05 Aug 2021
·
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
·
08 Jun 2021
·
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
·
12 Apr 2021
·
[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
·
01 Apr 2021
·
[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
·
18 Aug 2020
·
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
·
12 Aug 2020
·
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
·
10 Jul 2020
·
[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
·
30 Jun 2020
·
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
·
14 Apr 2020
·
doi:10.1186/s41239-020-00187-1
Mining Big Data in Education: Affordances and Challenges
Review of Research in Education
·
01 Mar 2020
·
doi:10.3102/0091732X20903304
2019
Quasi-Experimental Evidence of a School Equalization Reform on Housing Prices in Beijing
Chinese Education & Society
·
04 Jul 2019
·
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
·
02 Jul 2019
·
[no id info]
Construction of Weighted Course Co-Enrollment Network
Proceedings of the Workshop on Connectivism: Using Learning Analytics to Operationalize A Research Agenda
·
04 Mar 2019
·
[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
·
04 Mar 2019
·
doi:10.1145/3303772.3303841
2018
Understanding Student Procrastination via Mixture Models
Proceedings of the 11th International Conference on Educational Data Mining
·
16 Jul 2018
·
[no id info]
Representing and predicting student navigational pathways in online college courses
Proceedings of the Fifth Annual ACM Conference on Learning at Scale
·
26 Jun 2018
·
doi:10.1145/3231644.3231702